Academic Profile : Faculty
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Asst Prof Yan Ran
Assistant Professor, School of Civil and Environmental Engineering
Email
External Links
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Transportation Research Part series:
Yan R. Liu, Y., Wang, S., 2024. A data-driven optimization approach to improving maritime transport efficiency. Transportation Research Part B : Methodological 180, 102887.
Tian X., Yan R.*, Liu Y., Wang S., 2023. A smart predict-then-optimize method for targeted and cost-effective maritime transportation. Transportation Research Part B: Methodological 172, 32-52. (ESI top 1% highly cited paper.)
Luo X., Yan R.*, Wang S., 2024. Ship sailing speed optimization considering dynamic meteorological conditions. Transportation Research Part C: Emerging Technologies 167, 104827.
Yang Y., Yan R.*, Wang S., 2024. An effective ranking based data-driven model for maritime transport optimization.
Transportation Research Part C: Emerging Technologies 165, 104731.
Wang H., Yan R.*, Wang S., Zhen L., 2023. Innovative approaches to addressing the tradeoff between interpretability and accuracy in ship fuel consumption prediction. Transportation Research Part C: Emerging
Technologies 157, 104361.
Yan R., Wang S., Zhen L., 2023. An extended smart “predict, and optimize”(SPO) framework based on similar sets for ship inspection planning. Transportation Research Part E: Logistics and Transportation Review 173, 103109.
Wang S., Yan R.*, 2023. Fundamental challenge and solution methods in prescriptive analytics for freight transportation. Transportation Research Part E: Logistics and Transportation Review 169, 102966.
Luo X., Yan R.*, Wang S., 2023. Comparison of deterministic and ensemble weather forecasts on ship sailing speed optimization. Transportation Research Part D: Transport and Environment 121, 103801.
Yan R., Wu S., Jin Y., Cao J., Wang S., 2022. Efficient and explainable ship selection planning in port state control. Transportation Research Part C: Emerging Technologies 145, 103924.
Yan R., Wang S., Cao J., Sun D., 2021. Shipping domain knowledge informed prediction and optimization in port state control. Transportation Research Part B: Methodological 149, 52-78.
Yan R., Wang S., Psaraftis H., 2021. Data analytics for fuel consumption management in maritime transportation: Status and perspectives. Transportation Research Part E: Logistics and Transportation Review 155, 102489.
Yan R., Wang S., Fagerholt K., 2020. A semi-"smart predict then optimize" (semi-SPO) method for efficient ship inspection. Transportation Research Part B: Methodological 142, 100-125.
Yan R., Du Y., Wang S., 2020. Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship. Transportation Research Part E: Logistics and Transportation Review 138, 101930.
Wang S., Yan R., Qu X., 2019. Development of a non-parametric classifier: Effective identiffication, algorithm, and applications in port state control for maritime transportation. Transportation Research Part B: Methodological 128, 129-157.
Others:
Wang R., Cheng T., Yan R.*, 2024. Marine fault diagnosis with self-supervised learning incorporating out-of-distribution detection. IEEE Transactions on Intelligent Vehicles, accepted and in press.
Teng, S.^,Yan R.^, Zhang X., Li Y., Wang X., Wang Y., Tian Y., Yu H., Li L., Chen L., Wang FY., 2024. Sora for hierarchical parallel motion planner: A safe end-to-end method against OOD events. IEEE Transactions on Intelligent Vehicles 9(4), 4573-4576. (^: co-first authors)
Chu Z., Yan R.*, Wang S., 2024. Is vessel arrival affected by COVID-19? Evidence from the Hong Kong port. Transport Policy 154, 157--181.
Yan R., Yang D., Wang T., Mo H., Wang S., 2024. Ship energy efficiency management integrating domain knowledge. Applied Energy 368, 123132.
Luo X., Yan R.*, Wang S., 2024. After five years’ application of the EU MRV mechanism: Review and prospectives. Journal of Cleaner Production 140006.
Yan R., Chu Z., Wu L., Wang S., 2024. Predicting vessel service time: A data-driven approach. Advanced Engineering Informatics, accepted and in press.
Yang Y., Yan R.*, Wang S., 2024. Prescriptive analytics models for vessel inspection planning in maritime transportation. Computers & Industrial Engineering, 110012.
Wang Q., Xu G., Wu X., Ma S., Yan R.*, 2024. Enhancing sustainability and social welfare in public transportation: A study of subsidy schemes for urban rail transit systems.
Computers & Industrial Engineering 193, 110313.
Yan R., Wang S., Zhen L., 2024. Classification and regression in non-linear prescriptive analytics: Development of hybrid models. Computers and Operations Research, 106517.
Chu Z., Yan R.*, Wang S., 2024. Vessel turnaround time prediction: A machine learning approach.
Ocean and Coastal Management 249, 107021.
Wang H., Yan R.*, Au H., Wang S., Jin Y., 2023. Federated learning for ship fuel consumption prediction and optimization. Advanced Engineering Informatics 56, 101994.
Chu Z., Yan R.*, Wang S., 2023. Evaluation and prediction of the punctuality of vessel arrival: A case study of Hong Kong port. Maritime Policy & Management, accepted and in press.
Yan R., Mo H., Wang S., Yang D., 2023. Analysis and prediction of ship energy efficiency based on the MRV system. Maritime Policy & Management 50(1), 117-139.
Yan R., Tian X., Wu S., Wang S., 2023. Development of computer vision informed container crane operator alarm methods.Transportmetrica A: Transport Science, DOI: 10.1080/23249935.2022.2145862.
Tian X., Yan R.*, Laporte G., Wang S., 2022. Prescriptive analytics for a maritime routing problem. Ocean and Coastal Management 242, 106695.
Yan R., Mo H., Yang D., Wang S., 2021. Development of static and dynamic AIS-based vessel trajectory compression algorithms. Ocean Engineering 7(5), 554-557.
Chen X., Yan R.*, Wu S., Liu Z., Mo H., Wang S., 2021. A fleet deployment model to minimize the covering time of maritime rescue missions.Maritime Policy & Management, DOI: 10.1080/03088839.2021.2017042.
Yan R., Wang S., Fagerholt K., 2021. Coordinated approaches for ship inspection planning. Maritime Policy & Management, DOI: 10.1080/03088839.2021.1903599.
Yan R., Wang S., Peng C., 2021. Ship selection in port state control: Status and perspectives. Maritime Policy & Management, DOI: 10.1080/03088839.2021.1889067.
Yan R., Mo H., Guo X., Yang Y., Wang S., 2021. Is port state control influenced by COVID-19? Evidence from inspection data. Transport Policy 123, 82-103.
Yan R., Wang S., Peng C., 2021. An artificial intelligence model considering data imbalance for ship selection in port state control based on detention probabilities. Journal of Computational Science 48, 101257.
Transportation Research Part C: Emerging Technologies 165, 104731.
Technologies 157, 104361.
Others:
Yan R., Chu Z., Wu L., Wang S., 2024. Predicting vessel service time: A data-driven approach. Advanced Engineering Informatics, accepted and in press.
Computers & Industrial Engineering 193, 110313.
Ocean and Coastal Management 249, 107021.
Books
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Yan R., Wang S., 2023. Machine Learning and Data Analytics in Maritime Studies: Models, Algorithms, and Applications, the IET publisher. Available from https://shop.theiet.org/applications-of-machine-learning-and-data-analytics-models-in-maritime-transportation.
Keynote Speeches & Editorship of Special Issues
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Guest editor of special issue Sustainable Maritime Transportation: New Insights from Artificial Intelligence in Transportation Research Part D: Transport and Environment, July 2024, with Dr. Yuen Kum Fai, Prof. Shiyuan Zheng, and Dr. Maxim Dulebenets.
Guest editor of special issue Smarter and greener maritime and shipping logistics in Transportation Research Part E: Logistics and Transportation Review, January 2024, with Dr. Yuen Kum Fai, Dr. Zhang Mingyang, Dr. Maxim Dulebenets, Prof. Kjetil Fagerholt.
Guest editor of special issue Learning based Solution Techniques for Optimization in Logistics and Transportation Systems in Transportation Research Part E: Logistics and Transportation Review, July 2023, with Dr. habil. Shahin Gelareh, Dr. habil Nelson Maculan, Dr. Rahimeh Neamatian Monemi, Dr. Pedro Henrique González, Dr Xiaopeng Li, Dr. Fatmah Almazkoor.
Guest editor of special issue Managing Transportation Hubs: Challenges and Best Practices in Maritime Policy & Management, March 2024, with Dr. Paul Tae-Woo Lee, Dr. Stephen Petitt.
Guest editor of special issue Digitalisation and Artificial Intelligence in Maritime Transport: Operations, Management, and Policy in Maritime Policy & Management, March 2024, with Dr. Kum Fai Yuen, Dr. Jose Escribano Macias, Dr. Duowei Li, Dr. T.L. Yip
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Google Scholar
Web of Science