Journal Papers

2026

[129]  Fan, L., Wang, Y. and Yang, D., 2026. Managing fleet capacity through lay-up: Segment-specific drivers in non-offshore and offshore shipping markets. Transport Policy, p.104496. [LMS A journal, JCR Q1, Impact Factor: 6.200]

[128] Zhang, J., Xu, W., Lu, Y., Chen, Z., He, L. and Yang, D., 2026. ToMsIR: Task-oriented multi-scene image restoration for visual perception in autonomous vehicles. Pattern Recognition, p.115020.  [JCR Q1, Impact Factor: 7.600]

[127] Yang, D., Yang, K., Lu, Y., and Zhao G., 2026. Spatiotemporal Collision Risk Mapping of Port Traffic for Joint Navigation Instructions. Transportation Research Part E. 217, p.105233. [LMS A journal, JCR Q1, Impact Factor: 9.300]

[126] Wang, J., Liu, L., Yang, X., Yang, D.*, and Yan, R., 2026. Uneven carbon pricing signals in shipping: Regulatory overlap, abatement costs and fuel choice. Transportation Research Part A. 213, p.105226. [LMS A journal, JCR Q1, Impact Factor: 7.200]

[125] Niu, B., Wang, H., Lai, K.H., and Yang, D.*, 2026. More is less? The newcomer port’s service diversification under hinterland-transshipment competition and government subsidies. European Journal of Operational Research. [LMS A journal, JCR Q1, Impact Factor: 7.000]

[124] Wang, J., Zhang, Y., Jia, S., Yan, R. and Yang, D., 2027. Port-side solar-to-hydrogen bunkering system design for green shipping corridors: A data-driven robust optimization approach. Transportation Research Part E, 217, p.105204. [LMS A journal, JCR Q1, Impact Factor: 9.300]

[123] Lu, Y.#, Bao, M.^, Zhao, C.# and Yang, D.*, 2026. Physics-informed vessel trajectory prediction via semantic-kinematic coupling for intelligent waterway oversight. Reliability Engineering & System Safety, p.113420. [JCR Q1, Impact Factor: 13.700]

[122] Chen, D. and Yang, D.*, 2026. Protecting Abandoned Seafarers: A Quantitative Assessment of Repatriation and Wage Rights under Maritime Labour Convention. Transport Policy. p.104384. [LMS A journal, JCR Q1, Impact Factor: 6.200]

[121] Li, X., Yang, D., Wang, J., and Yang, M., 2026. Uncertainty-informed well-to-wake life cycle assessment of hydrogen-based marine fuels: A comprehensive review. Renewable and Sustainable Energy Reviews. 240, p.117200. [JCR Q1, Impact Factor: 18.000]

[120] Zhao, C.#, Yip, T.L., Wang, J., and Yang, D.*, 2026. Dynamic risk assessment for methanol ship-to-ship bunkering operations. Reliability Engineering & System Safety. p.113068. [JCR Q1, Impact Factor: 13.700]

[119]Shang, T., Wu, H., Yang, D., Zhao, C.#, Wang, K., and Jiang, C., 2026. How does shipping alliance affect port capacity investment and congestion. Transportation Research Part A. 211, p.105095. [LMS A journal, JCR Q1, Impact Factor: 7.200]

[118]Yang, K., Lu, Y., and Yang, D.*, 2026. Seeking Safety From Uncertainty: Probabilistic Vessel Trajectory Prediction With a Flow-Based Generative Model. IEEE Transactions on Industrial Informatics. [JCR Q1, Impact Factor: 9.800]

[117] Bao, M., Lu, Y., Li, X., Ding, H., Yang, D., and Zhang, M., 2026. Resilient inland vessel trajectory prediction via visual-kinematic data imputation and interaction-aware graph learning. Ocean Engineering. 359, p.125842. [JCR Q1, Impact Factor: 6.300]

[116] Lu, Y., Yang, D.*, Li, X., Bao, M., and Zhao, C.#, 2026. CmIVTP: Cross-Modal Interaction-Based Vessel Trajectory Prediction for Maritime Intelligence. IEEE Transactions on Intelligent Transportation Systems. [JCR Q1, Impact Factor: 9.100]

[115] Feng, Y. and Yang, D.*, 2026. Verbal-command-driven ship trajectory prediction: a context-aware intent injection mechanism for intelligent maritime transportation. Transportation Research Part E. 212, p.104911. [LMS A journal, JCR Q1, Impact Factor: 9.300]

[114] Lu, Y., Yang, K., Yang, D.*, Ding, H., Weng, J., and Zhang, M., 2026. Uncertainty-aware vessel trajectory prediction for heterogeneous data fusion in internet of things-driven smart waterways. Engineering Applications of Artificial Intelligence. 177, p.114930. [JCR Q1, Impact Factor: 9.000]

[113] Chen, A., Lu, Y., Yang, D., Zhou, J., Fu, Y., and Chen, D., 2026. Multi-knowledge-oriented nighttime haze imaging enhancer for vision-driven intelligent systems. Applied Soft Computing. p.115187. [JCR Q1, Impact Factor: 7.800]

[112] Zhou, R., Lai, K.H., Yang, D., and Zhang, L., 2026. Stable Hierarchy, Dynamic Composition: Sectoral Evolution in Hong Kong Shipping Hub from an Ecosystem Perspective. Transport Policy. p.104167. [LMS A journal, JCR Q1, Impact Factor: 6.200]

[111] Tang, H., Zhang, H., and Yang, D., 2026. Optimal sailing side planning for sustainable maritime transportation in inland waterways. Cleaner Logistics and Supply Chain. 19, p.100324. [JCR Q1, Impact Factor: 6.600]

[110] Lu, Y., Yang, K., Yang, D.*, Ding, H., Weng, J., and Liu, R.W., 2026. Graph Learning-Driven Multi-Vessel Association: Fusing Multimodal Data for Maritime Intelligence. IEEE Transactions on Intelligent Transportation Systems. [JCR Q1, Impact Factor: 9.100]

[109] Zhao, C.#, Lu, Y., Yang, D., and Yip, T.L., 2026. Real-Time Graph-Based Traffic Complexity Evaluation for Intelligent Maritime Supervision Using Multi-Source Data Fusion. Reliability Engineering & System Safety. p.112380. [JCR Q1, Impact Factor: 13.700]

2025

[108] Li, C., Cariou, P., and Yang, D.*, 2025. Does voluntary carbon disclosure lead to supply chain leakage: evidence from U.S. Firms’ container carbon emissions. Transportation Research Part A. 202, p.104707. [LMS A journal, JCR Q1, Impact Factor: 6.800]

[107] Chen, Y., Qi, X., Yang, D., Huang, C., and Zheng, J., 2025. A ship trajectory prediction model integrating ship-shore speech communication for early prediction at waterway intersections. Ocean Engineering. 342, p.122934. [JCR Q1, Impact Factor: 5.500]

[106] Yang, D., Li, C., Wan, Y., and Bai, X., 2025. Internalizing congestion: the impact of market concentration and priority provision in global container ports. Transportation Research Part A. 201, p.104697. [LMS A journal, JCR Q1, Impact Factor: 6.800]

[105] Wang, R., Shang, T., Yang, D.*, and Yan, R., 2025. Empowering econometric methods with machine learning for policy making: A comparative study in maritime transportation. Transportation Research Part A. 200, p.104635. [LMS A journal, JCR Q1, Impact Factor: 6.800]

[104] Li, C., Cariou, P., and Yang, D.*, 2025. Geopolitical Risks and Port-Related Carbon Emissions: Evidence and Policy Implications. Transport Policy. p.103809. [LMS A journal, JCR Q1, Impact Factor: 5.300]

[103] Wang, J., Li, X., and Yang, D.*, 2025. Uncertainties in life cycle assessment of renewable fuels for green shipping corridors. Transportation Research Part D. 147, p.104916. [LMS B journal, JCR Q1, Impact Factor: 7.700]

[102] Lu, Y., Chen, A., Yang, D., and Liu, R.W., 2025. USRNet: Unified Scene Recovery Network for Image Restoration under Multiple Adverse Weather Conditions. Pattern Recognition. p.112534. [JCR Q1, Impact Factor: 7.600]

[101] Han, T., Wan, Y., and Yang, D.*, 2025. Enhancing Maritime Cost Analysis: Identifying Opportunities for Cross-Industry Insights. Transport Policy. 171(Sep):1050-1063. [LMS A journal, JCR Q1, Impact Factor: 5.300]

[100] Wang, J., Yang, D.*, and Jia, S., 2025. Unlocking renewable fuels for green shipping corridors: A comprehensive analysis framework. Transportation Research Part E. 202, p.104280. [LMS A journal, JCR Q1, Impact Factor: 8.800]

[99] Li, L., Yang, D., and Liao, S., 2025. Resilience of inland waterway networks: A Bayesian analysis of vessel trajectory data. Transportation Research Part D. p.104891. [LMS B journal, JCR Q1, Impact Factor: 7.700]

[98] Zhang, J., Xu, W., Lu, Y., Chen, Z., and Yang, D., 2025. Multi-view Adaptive Image Enhancement with Hierarchical Attention for Complex Underground Mining Scenes. Expert Systems with Applications. p.128761. [JCR Q1, Impact Factor: 7.500]

[97] Xu, W., Liang, M., Lu, Y., Gao, R., and Yang, D.*, 2025. Spatial-Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. [JCR Q1, Impact Factor: 5.300]

[96] Chen, D. and Yang, D.*, 2025. Impact of external uncertainties on internal volatility spillovers among shipping freight markets. Maritime Policy & Management. 53(3), pp.327-350. [LMS B journal, JCR Q2, Impact Factor: 3.600]

[95] Yang, D., Yue, X., and Yap, W.Y., 2025. Geospatial resilience of shipping alliances: Navigating the Red Sea crisis. Journal of Transport Geography. 126, p.104254. [LMS A journal, JCR Q1, Impact Factor: 6.300]

[94] Yang, K., Yang, D.*, and Lu, Y., 2025. Enhancing risk perception by integrating ship interactions in multi-ship encounters: A Graph-Based learning method. Reliability Engineering & System Safety. p.111150. [JCR Q1, Impact Factor: 11.000]

[93] Zhang, J., Luo, M., and Yang, D.*, 2025. Are efficient ports for port operators also those for shipping companies? A meta-frontier analysis of global top 80 container ports. Ocean & Coastal Management. 263, p.107616. [LMS A journal, JCR Q1, Impact Factor: 5.400]

[92] Ding, Y. and Yang, D.*, 2025. Should an electric vehicle manufacturer buy its own ship? Investment and pricing strategies under uncertainty. Transportation Research Part E. 195, p.103990. [LMS A journal, JCR Q1, Impact Factor: 8.800]

[91] Zhang, Q., Qiu, Y., and Yang, D.*, 2025. Unpacking the evolution of port systems: a review study. Transport Reviews. pp.1-23. [LMS B journal, JCR Q1, Impact Factor: 9.900]

[90] Li, C., Yang, X., and Yang, D.*, 2025. Port vulnerability to natural disasters: An integrated view from hinterland to seaside. Transportation Research Part D. 139, p.104563. [LMS B journal, JCR Q1, Impact Factor: 7.700]

[89] Zhou, R., Luo, M., Jiang, C., Yang, D., and Wang, K., 2025. How does emission allowance allocation affect shipowners’ selection of emission reduction technologies? Transportation Research Part D. 139, p.104573. [LMS B journal, JCR Q1, Impact Factor: 7.700]

2024

[88] Yang, D.*, Huang, X., Lai, K.H., and Lun, V.Y., 2024. Functional differentiation of container ports: a case in China. Maritime Policy & Management. pp.1-23. [LMS A journal, JCR Q2, Impact Factor: 3.700]

[87] Yang, D., Yang, K., Lu, Y., Liang, M., and Zhao, C.#, 2024. Graph-driven Multi-vessel Long-term Trajectories Prediction for Route Planning under Complex Waters. Ocean Engineering. 313, p.119511. [JCR Q1, Impact Factor: 4.600]

[86] Huang, X., Yang, D.*, Wang, K., Tong, J., and Han, T., 2024. Impact of Student Backgrounds on the Outcomes of Maritime Postgraduate Professional Education. Transport Policy. 159, pp.392-404. [LMS B journal, JCR Q1, Impact Factor: 6.300]

[85] Yap, W.Y. and Yang, D., 2024. Geopolitical tension and shipping network disruption: Analysis of the Red Sea crisis on container port calls. Journal of Transport Geography. 121, p.104004. [LMS A, journal, JCR Q1, Impact Factor: 5.700]

[84] Zhang, L., Lai, K.H., and Yang, D.*, 2024. Shipping ecosystem: concept and policy implications. Maritime Economics & Logistics. pp.1-28 (Oct). [LMS B journal, JCR Q2, Impact Factor: 4.100]

[83] Xu, W., Yang, D.*, Gao, Y., Lu, Y., Zhang, J., and Guo, Y., 2024. MvKSR: Multi-view Knowledge-guided Scene Recovery for Hazy and Rainy Degradation. IEEE Transactions on Instrumentation and Measurement. 73(Jul):5028712, July. [JCR Q1, Impact Factor: 5.600]

[82]Li, L., Xu, W., Gao, Y., Lu, Y., Yang, D., Liu, R.W., and Zhang, R., 2024. Attention-oriented residual block for real-time low-light image enhancement in smart ports. Computers and Electrical Engineering. 120, p.109634. [JCR Q1, Impact Factor: 4.000]

[81] Yang, D., Li, X., and Zhang, L., 2024. A novel vessel trajectory feature engineering for fishing vessel behavior identification. Ocean Engineering. 310, p.118677. [JCR Q1, Impact Factor: 4.600]

[80] Zhang, J., Yang, D., and Luo, M., 2024. Port Efficiency Types and Perspectives: A Literature Review. Transport Policy. 156 (Sep), pp.13-24 (Sep). [LMS B journal, JCR Q1, Impact Factor: 6.300]

[79] Yan, R., Yang, D.*, Wang, T., Mo, H., and Wang, S., 2024. Improving ship energy efficiency: Models, methods, and applications. Applied Energy. 368, p.123132. [JCR Q1, Impact Factor: 10.100]

[78] Lu, Y., Yang, D.*, Gao, Y., Liu, R.W., Liu, J., and Guo, Y., 2024. AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration. Knowledge-Based Systems. 294, p.111786. [JCR Q1, Impact Factor: 7.200]

[77] Li, L., Wan, Y., and Yang, D.*, 2024. Do shipping alliances affect freight rates? Evidence from global satellite ship data. Transportation Research Part A. 181(Feb), p.104010. [LMS A journal, JCR Q1, Impact Factor: 6.300]

[76] Li, L., Lu, Y., and Yang, D.*, 2024. Aerial visual data-driven approach for berthing capacity estimation in restricted waters. Ocean & Coastal Management. 248(Feb), p.106961. [LMS B journal, JCR Q1, Impact Factor: 4.800]

[75] Han, T., Yang, D.*, Ji, P., and Wu, C.L. (Charade), 2024. Effect of online quotation platform on container shipping orders. Maritime Policy & Management. 51(2), pp.159-173. [LMS A journal, JCR Q2, Impact Factor: 3.700]

[74] Souza, F., Pitombo, C.S., and Yang, D., 2024. Value of time and port choice: An approach regarding import companies in Brazil. Latin American Transport Studies. 2, p.100014. [JCR N.A., Impact Factor: N.A.]

[73] Shang, T., Wu, H., Wang, K., Yang, D., Jiang, C., and Yang, H., 2024. Would the shipping alliance promote or discourage green shipping investment? Transportation Research Part D. 128, p.104102. [JCR Q1, Impact Factor: 7.300]

2023

[72]Yang, D., Liao, S., Lun, Y.V., and Bai, X., 2023. Towards sustainable port management: Data-driven global container ports turnover rate assessment. Transportation Research Part E. 175 (July), p.103169. [LMS B journal, JCR Q1, Impact Factor: 10.600]

[71] Chen, D., Bai, X., Wang, Z., and Yang, D.*, 2023. A port statistics-based generic ballast water estimation and risk assessment approach and its application to Chinese ports. Marine Pollution Bulletin. 192 (July), p.115068. [JCR Q1, Impact Factor: 5.800]

[70] Bai, X., Ma, Z., Hou, Y., Li, Y., and Yang, D.*, 2023. A Data-Driven Iterative Multi-Attribute Clustering Algorithm and Its Application in Port Congestion Estimation. IEEE Transactions on Intelligent Transportation Systems. 24(Nov):12026–12037. [JCR Q1, Impact Factor: 8.500]

[69] Zhang, L., Yang, D.*, Bai, X., and Lai, K.H., 2023. How liner shipping heals schedule disruption: A data-driven framework to uncover the strategic behavior of port-skipping. Transportation Research Part E. 176 (Aug), p.103229. [LMS B journal, JCR Q1, Impact Factor: 10.600]

[68] Zhang, L., Yang, D.*, Luo, M., and Wu, S., 2023. Revisiting the pricing benchmarks for Asian LNG — An equilibrium analysis. Energy. 262 (Jan): 125426. [JCR Q1, Impact Factor: 9.000]

[67] Wang, S., Jia, H., Lu, J., and Yang, D.*, 2023. Crude Oil Transportation Route Choices: A Connectivity Reliability-Based Approach. Reliability Engineering & System Safety. 235 (July), p.109254. [JCR Q1, Impact Factor: 8.100]

[66] Li, C., Lin, Q., Huang, D., Grifoll, M., Yang, D., and Feng, H., 2023. Is Entropy an Indicator of Port Traffic Predictability? The Evidence from Chinese Ports. Physica A: Statistical Mechanics and its Applications. 612 (Feb) p.128483. [JCR Q2, Impact Factor: 3.300]

[65] Gong, X., Jiang, H., and Yang, D.*, 2023. Maritime Piracy Risk Assessment and Policy Implications: A Two-step Approach. Marine Policy. 150 (Apr), p.105547. [JCR Q1, Impact Factor: 3.800]

[64] Li, W., Bai, X., Yang, D., and Hou, Y., 2023. Maritime connectivity, transport infrastructure expansion, and economic growth: a global perspective. Transportation Research Part A. 170 (Feb), p.103609. [LMS A journal, JCR Q1, Impact Factor: 6.400]

[63] Chen, K., Jia, S., Wang, J., Yang, D., and Ding, Y., 2023. Dual-channel ticketing and pricing strategies in cruise revenue management. Maritime Policy & Management. June, 1-24. [LMS A journal, JCR Q3, Impact Factor: 3.500]

[62] Pu, X., Bai, X., Hou, Y., and Yang, D., 2023. An Examination of Liner Companies’ Port Choices Under External Shocks Considering Firm Heterogeneity. Journal of Transport Economics and Policy. July, 57 (3): 225-246. [LMS A journal, JCR Q4, Impact Factor: 0.900]

[61] Liu, R.W., Hu, K., Liang, M., Li, Y., Liu, X., and Yang, D., 2023. QSD-LSTM: Vessel Trajectory Prediction Using Long Short-term Memory with Quaternion Ship Domain. Applied Ocean Research. 136 (July), p.103592. [JCR Q1, Impact Factor: 4.300]

[60] Souza, F., Pitombo, C.S., Jong, G.D., and Yang, D., 2023. Port choice in Rio de Janeiro, Brazil: an analysis of the perspectives of exporters and importers in the container market. International Journal of Shipping and Transport Logistics. 17(1-2), pp.232-256. [JCR Q4, Impact Factor: 1.500]

2022

[59] Yang, D., Li, L., and Notteboom, T., 2022. Chinese Investment in Overseas Container Terminals: The Role of Investor Attributes in Achieving a Higher Port Competitiveness. Transport Policy. 118 (March): 112–22. [LMS B journal, JCR Q1, Impact Factor: 6.173]

[58] Bai, X., Xu, M., Han, T., and Yang, D.*, 2022. Quantifying the Impact of Pandemic Lockdown Policies on Global Port Calls. Transportation Research Part A. 164 (Aug): 224-241. [LMS A journal, JCR Q1, Impact Factor: 6.615]

[57] Yang, D., Li, C., Li, L., Lai, K.H., and Lun, Y.H. (Venus), 2022. Maritime Cluster Relatedness and Policy Implications. Transport Policy. 128 (Nov):76-88. [LMS B journal, JCR Q1, Impact Factor: 6.173]

[56] Yin, Z., Yang, D., and Bai, X., 2022. Vessel Destination Prediction: A Stacking Approach. Transportation Research Part C. 145 (Nov): 103951. [JCR Q1, Impact Factor: 9.022]

[55] Peng, W., Bai, X., Yang, D., Yuen, K., and Wu, J., 2022. A Deep Learning Approach for Port Congestion Estimation and Prediction. Maritime Policy & Management. April 1–26. [LMS A journal, JCR Q3, Impact Factor: 3.167]

[54] Souzaa, F., Yang, D.*, Aluisio, M., Leandro, B., and Cira, P., 2022. Assessment of Container Terminals Competitiveness in the Brazilian Market: A Cluster Analysis. Maritime Policy & Management. July, 1-20. [LMS A journal, JCR Q3, Impact Factor: 3.167]

[53] Bai, X., Chen, L., Yang, D.*, and Cai, O., 2022. Does the Traffic Volume of a Port Determine Connectivity? Revisiting Port Connectivity Measures with High-Frequency Satellite Data. Journal of Transport Geography. 102 (June): 103385. [LMS B journal, JCR Q1, Impact Factor: 5.899]

[52] Yap, W.Y. and Yang, D., 2022. Hub port choice and shipping connectivity in Southeast Asia during COVID-19 pandemic: implications for post-pandemic competition landscape. Maritime Policy & Management. Oct, 1-16. [LMS A journal, JCR Q3, Impact Factor: 3.167]

[51] Yan, R., Mo, H., Yang, D., and Wang, S., 2022. Development of Denoising and Compression Algorithms for AIS-Based Vessel Trajectories. Ocean Engineering. 252 (May): 111207. [JCR Q1, Impact Factor: 4.372]

[50] Wang, Z., Saebi, M., Grey, E., Corbett, J., Chen, D., Yang, D., and Wan, Z., 2022. Ballast Water-Mediated Species Spread Risk Dynamics and Policy Implications to Reduce the Invasion Risk to the Mediterranean Sea. Marine Pollution Bulletin. 174 (January): 113285. [JCR Q1, Impact Factor: 7.001]

[49] Chen, D., Yang, D., and Yang, Z., 2022. Port Investment along the Maritime Silk Road Considering Mutual Selections of the Industries Planned for Transfer and Recipient Countries with Location Advantage. Maritime Policy & Management. Nov 1-24. [LMS A journal, JCR Q3, Impact Factor: 3.167]

2021

[48] Bai, X.W., Hou, Y.^, and Yang, D.*, 2021. Choose Clean Energy or Green Technology? Empirical Evidence from Global Ships. Transportation Research Part E. Volume 151: 102346. [LMS B journal, JCR Q1, Impact Factor: 6.875] 

[47] Yang, D., Wu, L.X., and Wang, S.A., 2021. Can We Trust the AIS Destination Port Information? – Implications for Shipping Policy and Practice. Transportation Research Part E. Volume 149: 102308. [LMS B journal, JCR Q1, Impact Factor: 6.875]

[46] Zhang, Q., Yan, K., and Yang, D.*, 2021. Port system Evolution in Chinese coastal region: A provincial perspective. Journal of Transport Geography. Volume 92: 103031.           [LMS B journal, JCR Q1, Impact Factor: 4.986]

[45] Yang, D., Notteboom, T., and Zhou, X., 2021. Spatial, temporal and institutional characteristics of entry strategies in inland container terminals: A comparison between Yangtze River and Rhine River. Journal of Transport Geography. Volume 137: 102928. [LMS B journal, JCR Q1, Impact Factor: 4.986]

[44] Xu, H. and Yang, D.*, 2021. LNG-fueled Container Ship Sailing on the Northern Sea Route: Economic and Emission Evaluation. Transportation Research Part D. Volume 137: 102556. [JCR Q1, Impact Factor: 5.495]

[43] Zhang, Q., Yang, D., and Chen, Y., 2021. Port integration on the Yangtze River: Does it follow the "interest balance" pattern? Transport Policy. Volume 108, pp 83-94. [LMS B journal, JCR Q1, Impact Factor: 4.674]

[42] Yan, R., Mo, H.Y., Wang, S.A., and Yang, D., 2021. Analysis and prediction of ship energy efficiency based on the MRV system. Maritime Policy & Management. online. [LMS A journal, JCR Q2, Impact Factor: 3.778]

[41] De, S.F.L.U., Pitombo, C.S., and Yang, D., 2021. Port choice in Brazil: a qualitative research related to in-depth interviews. Journal of Shipping and Trade. Volume 6, pp1-22. [Journal Managed by LMS]

[40] Wang, J., Yang, D., Chen, K., and Sun, X.D., 2021. Cruise dynamic pricing based on SARSA algorithm. Maritime Policy & Management. Volume 48, Issue 2, pp 259-282. [LMS A journal, JCR Q2, Impact Factor: 3.778]

2020

[39] Yang, D., Zhang, L.G.#, Luo, M.F., and Li, F., 2020. Does shipping affects the international iron ore trade? - An equilibrium analysis. Transportation Research Part E. Volume 144:102107. [LMS B journal, JCR Q1, Impact Factor: 6.875] 

[38] Chen, Y., Kan, T., Wen, J., and Yang, D.*, 2020. Investigating the underlying social psychology of the innovation adoption in container trucking industry. Transportation Research Part A. Volume 137, pp 259-270. [LMS A journal, JCR Q1, Impact Factor: 5.594]

[37] Wu, L.X., Yang, D.*, Wang, S.A., and Yuan, Y., 2020. Evacuating offshore working barges from a land reclamation site in storm emergencies. Transportation Research Part E. Volume 137, pp 1-29. [LMS B journal, JCR Q1, Impact Factor: 6.875]

[36] Liu, Z.H., Yang, D.*, and Ng, Y.N., 2020. Eppie. A competitive analysis of port of Hong Kong: from external to internal. Journal of Shipping and Trade. Volume. 5, No.7, pp 1-17. [Journal Managed by LMS]

[35] Notteboom, T., Yang, D.*, and Xu, H., 2020. Container barge network development in inland rivers: A comparison between the Yangtze River and the Rhine River (Best Paper of Y-RIB2018). Transportation Research Part A. Volume 132, pp 587-605. [LMS A journal, JCR Q1, Impact Factor: 5.594]

[34]. Chen, Y., Yang, D., Lian, P., Wan, Z., and Yang, Y.B., 2020. Will Structure-Environment-Fit Result in Better Port Performance? An Empirical Test on the Validity of Matching Framework Theory. Transport Policy. Volume 86, pp 23-33. [LMS B journal, JCR Q1, Impact Factor: 4.674]

[33] Weng, J.X., Liao, S.G.^, and Yang, D., 2020. Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River. The Journal of Navigation. Volume 73, Issue 1, pp 75-91. [LMS B journal, JCR Q2, Impact Factor: 1.995] 

[32] Weng, J.X., Liao, S.G.^, Wu, B., and Yang, D.*, 2020. Exploring Effects of Ship Traffic Characteristics and Environmental Conditions on Ship Collision Frequency. Maritime Policy & Management. Volume 47, Issue 4, pp 523-543. [LMS A journal, JCR Q2, Impact Factor: 3.778] 

[31] Chen, Y., Chao, Y.Y., and Yang, D.*, 2020. Port Recentralization as a Balance of Interest. Research in Transportation Business & Management. Volume 34, pp 1-9. [JCR Q2, Impact Factor: 2.740]

[30] Yang, L.Q., Chen, G., Rytter, G.M.N., Zhao, J.L., and Yang, D., 2020. A genetic algorithm-based grey-box model for ship fuel consumption prediction towards sustainable shipping. Annals of Operations Research. In Press. [LMS B journal, JCR Q1, Impact Factor: 4.854]

2019

[29] Yang, D., Wu, L.X., Wang, S., Jia, H.Y., and Li, K.X., 2019. How big data enriches the shipping research -- Review of Automatic Identification System data application in maritime studies. Transport Reviews. Volume 39, Issue 6, pp 755-773. [LMS B journal, JCR Q1, Impact Factor: 9.643]

[28] Li, F., Yang, D.*, Wang, S.A., and Weng, J.X., 2019. Ship Routing and Scheduling Problem for Steel Plants Cluster alongside Yangtze River. Transportation Research Part E. Volume 122, pp 198-210. [LMS B journal, JCR Q1, Impact Factor: 6.875]

[27] Weng, J.X., Yang, D.*, Chai, T., and Fu, S.S., 2019. Investigation of occurrence likelihood of human errors in shipping operations. Ocean Engineering. Volume 182, Issue 15, pp 28-37. [JCR Q1, Impact Factor: 3.795]

[26] Chang, Z., Weng, J.X., Zhuang, Q., and Yang, D.*, 2019. Assess economic and environmental trade-off for inland port location. International Journal of Shipping and Transport Logistics. Volume 11, issue 2-3, pp 243-261. [JCR Q4, Impact Factor: 1.500]

[25] Wang, S.A., Yan, R., Wu, L.X., and Yang, D., 2019. Optimal re-allocation of mooring areas for yachts. Maritime Business Review. Volume 4, No.1, pp 94-105. [Journal Managed by LMS, JCR Q3]

[24] Chang, Z., Yang, D., Wan, Y.L., and Han, T.T.#, 2019. Analysis on the Features of Chinese Dry Ports: Ownership, Customs Service, Rail Service and Regional Competition. Transport Policy. Volume 82, pp 107-116. [LMS B journal, JCR Q1, Impact Factor: 4.674] 

2018

[23] Yang, D., Jiang, L.P., and Ng, A., 2018. One Belt one Road, but several routes: A case study of new emerging trade corridors connecting the Far East to Europe. Transportation Research Part A. Volume 117, pp 190-204. [LMS A journal, JCR Q1, Impact Factor: 5.594]

[22] Wu, L.H., Pan, K., Wang, S.A., and Yang, D., 2018. Bulk ship scheduling in industrial shipping with stochastic backhaul canvassing demand. Transportation Research Part B. Volume 117, pp 117-136. [LMS A journal, JCR Q1, Impact Factor: 5.596]

[21] Weng, J.X., Yang, D.*, Qian, T., and Huang, Z., 2018. Combining Zero-inflated Negative Binomial Regression with MLRT Techniques: An Approach to Evaluating Shipping Accident Casualties. Ocean Engineering. Volume 166, pp 135-144. [JCR Q1, Impact Factor: 3.795]

[20] Weng, J.X., Yang, D.*, and Gang, D., 2018. Generalized F distribution model with random parameters for estimating property damage cost in shipping traffic accidents. Maritime Policy & Management. Volume 45, issue 8, 963–978. [LMS A journal, JCR Q2, Impact Factor: 3.778]

[19] Xu, H., Yang, D.*, and Weng, J.X., 2018. Economic Feasibility of an NSR/SCR-Combined Container Service on the Asia-Europe Lane: A New Approach Dynamically Considering Sea Ice Extent. Maritime Policy & Management. Volume 45, issue 4, pp 514-523. [LMS A journal, JCR Q2, Impact Factor: 3.778]

[18]. Weng, J.X., Li, G.R., Chai, T., and Yang, D., 2018. Evaluation of Two-Ship Collision Severity using Ordered Probit Approaches. The Journal of Navigation. Volume 71, issue 4, pp 822-836. [LMS B journal, JCR Q2, Impact Factor: 1.995]

[17] Wang, S.A., Yang, D., and Lu, J., 2018. A connectivity reliability-cost approach for path selection in maritime transportation of China’s crude oil imports. Maritime Policy & Management. Volume 45, issue 5, pp 567-584. [LMS A journal, JCR Q2, Impact Factor: 3.778]

[16] Yang, D., Pan, K., and Wang, S.A., 2018. On Service Network Improvement for Shipping Liners under the One Belt One Road Initiative of China. Transportation Research Part E. Volume 117, pp 82-95. [LMS B journal, JCR Q1, Impact Factor: 6.875]

2017

[15] Zhang, L.G.#, Luo, M.F., Yang, D., and Li, K.X.G., 2017. Impacts of trade liberalization on Chinese economy with OBOR. Maritime Policy & Management. Volume 45, Issue 3, pp 301-318. [LMS A journal, JCR Q2, Impact Factor: 3.778] 

[14] Guo, L.G., Yang, D., and Yang, Z.Z., 2017. Port integration method in Multi-Port Regions (MPRs) based on the maximal social welfare of the external transport system. Transportation Research Part A. Volume 110, pp 243-257. [LMS A journal, JCR Q1, Impact Factor: 5.594]

[13]. Yang, D., Wang, Y.J.^, Xu, H., and Zhang, Z.H., 2017. Path to a multilayered transshipment port system: How the Yangtze River bulk port system has evolved. Journal of Transport Geography. Volume 64, pp 44-64. [LMS B journal, JCR Q1, Impact Factor: 4.986] 

[12] Yang, D.* and Wang, S.A., 2017. Analysis of the Development Potential of Bulk Shipping Network on the Yangtze River. Maritime Policy & Management. Volume 44, Issue 4, pp 512-523. [LMS A journal, JCR Q2, Impact Factor: 3.778]

2016

[11] Zheng, J.F. and Yang, D.*, 2016. Hub-and-spoke network design for container shipping along the Yangtze River. Journal of Transport Geography. Volume 55, pp 51-57. [LMS B journal, JCR Q1, Impact Factor: 4.986]

[10] Song, L.Y., Yang, D., Chin, T.A., Zhang, G.Z., He, Z.B., Guan, W., and Mao, B.H., 2016. A game-theoretical approach for modeling competitions in a maritime supply chain. Maritime Policy & Management. Volume 43, Issue 8, pp 976-991. [LMS A journal, JCR Q2, Impact Factor: 3.778]

[9] Jose, T.Z. and Yang, D., 2016. The rise of Chinese ports and its impact on ports in East Asia. Maritime Economics & Logistics. Volume 18, Issue 1, pp 19–40. [LMS B journal, JCR Q3, Impact Factor: 3.119]

[8] Yang, D.*, Weng, J.X., and Hu, J., 2016. Coal containerization: Will it be an alternative mode of transport between north and south China in the future? Maritime Business Review. Volume 1, Issue 1, pp 76-87. [Journal Managed by LMS, JCR Q3]

2015

[7] Zheng, J.F., Gao, Z.Y., Yang, D., and Sun, Z., 2015. Network design and capacity exchange for liner alliances with fixed and variable container demands. Transportation Science. Volume 49, No. 4, pp.886-899. [LMS A journal, JCR Q2, Impact Factor: 4.117]

[6] Weng, J.X. and Yang, D., 2015. Investigation of Shipping Accident Injury Severity and Mortality. Accident Analysis & Prevention. Volume 76, pp 92-101. [LMS A journal, JCR Q1, Impact Factor: 4.993]

2014

[5] Yang, D.*, Chin, T.A., and Chen, S., 2014. Impact of Political and Economic Events, Port Reforms on the Evolution of Maritime Traffic in Chinese Ports. Maritime Policy & Management. Volume 41, Issue 4, pp 346-366. [LMS A journal, JCR Q2, Impact Factor: 3.778]

[4] Yang, D., Ong, G.P., Anthony, and TH. C., 2014. An exploratory study on the effect of trade data aggregation on international freight mode choice. Maritime Policy & Management. Volume 41, Issue 3, pp 212-223 (Best Paper of IAME2012). [LMS A journal, JCR Q2, Impact Factor: 3.778]

Before 2014

[3] Yang, D*., Liu, M. J., and Shi, X. N., 2011. Verifying the Liner Shipping Alliance’s Stability by Applying Core Theory. Research in Transportation Economics, Volume 32, pp15-24, 2011 [JCR Q2, Impact Factor: 2.627]

[2] Yang, D., and Odani, M., 2008. A Conceptual Application of Game Theory into the Cooperative Freight Transportation System in Urban Area. Journal of Japan Logistics Society, Volume 17, pp 121-128

[1] Yang, D., and Odani, M., 2007. An analysis on city freight cooperative transportation system using game theory. Journal of the Eastern Asia Society for Transport Studies, Volume 7, pp 989-1001