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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep learning models for vessel’s ETA prediction: bulk ports perspective
Sara El Mekkaoui, Loubna Benabbou, Abdelaziz Berrado
Flexible Services and Manufacturing Journal (2022) Vol. 35, Iss. 1, pp. 5-28
Closed Access | Times Cited: 16

Showing 16 citing articles:

Deep Learning-Based Ship Speed Prediction for Intelligent Maritime Traffic Management
Sara El Mekkaoui, Loubna Benabbou, Stéphane Caron, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 1, pp. 191-191
Open Access | Times Cited: 27
Smart technologies and port operations: Optimal adoption strategy with network externality consideration
Kunpeng Li, Amir Gharehgozli, Jun‐Yeon Lee
Computers & Industrial Engineering (2023) Vol. 184, pp. 109557-109557
Open Access | Times Cited: 11
Leveraging machine learning and optimization models for enhanced seaport efficiency
Mahdi Jahangard, Ying Xie, Yuanjun Feng
Maritime Economics & Logistics (2025)
Open Access
Prediction of vessel arrival time to port: a review of current studies
Shuo Jiang, Lei Liu, Peng Peng, et al.
Maritime Policy & Management (2025), pp. 1-26
Closed Access
Operations Research, Machine Learning, and Integrated Techniques for Decision Problems in the Seaside Area of Container Terminals
Haoqi Xie, Daniela Ambrosino
Operations Research Forum (2025) Vol. 6, Iss. 2
Closed Access
Enhancing Container Vessel Arrival Time Prediction through Past Voyage Route Modeling: A Case Study of Busan New Port
Jeong-Hyun Yoon, Dong-Ham Kim, Sang-Woong Yun, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 6, pp. 1234-1234
Open Access | Times Cited: 9
Evaluation and prediction of punctuality of vessel arrival at port: a case study of Hong Kong
Zhong Chu, Ran Yan, Shuaian Wang
Maritime Policy & Management (2023) Vol. 51, Iss. 6, pp. 1096-1124
Closed Access | Times Cited: 8
Predicting vessel arrival times on inland waterways: A tree-based stacking approach
Jinyu Lei, Zhong Chu, Yong Wu, et al.
Ocean Engineering (2024) Vol. 294, pp. 116838-116838
Closed Access | Times Cited: 2
Deep learning based vessel arrivals monitoring via autoregressive statistical control charts
Sara El Mekkaoui, Ghait Boukachab, Loubna Benabbou, et al.
WMU Journal of Maritime Affairs (2024) Vol. 23, Iss. 3, pp. 329-346
Closed Access
Elucidating US Import Supply Chain Dynamics
Nikolay Aristov, Ziyan Li, Thomas Koch, et al.
Procedia Computer Science (2024) Vol. 238, pp. 216-223
Open Access
Enhancing Prediction Accuracy of Vessel Arrival Times Using Machine Learning
Nicos Evmides, Sheraz Aslam, Tzioyntmprian T. Ramez, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1362-1362
Open Access
Cross-Pacific Vessel Estimated Time of Arrival and Next Destination Prediction with Automatic Identification System Data
Roger Lloret-Batlle, Sen Lin, Jiequn Guo
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Probabilistic prediction of ship destinations based on traffic pattern awareness in maritime networks
Liang Huang, Jiaci Wang, Yamin Huang, et al.
Ocean Engineering (2024) Vol. 316, pp. 119933-119933
Closed Access
Predicting ferry services with integrated meteorological data using machine learning
S Y Ko, Junyeop Cha, Eunil Park
Proceedings of the Institution of Civil Engineers - Transport (2023), pp. 1-8
Closed Access | Times Cited: 1
Deep Learning Approaches for Vessel Estimated Time of Arrival Prediction: A Case Study on the Saint Lawrence River
Ismail Bourzak, Sara El Mekkaoui, Abdelaziz Berrado, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 1
Data-driven optimization and analytics for maritime logistics
Kjetil Fagerholt, Leonard Heilig, Eduardo Lalla‐Ruiz, et al.
Flexible Services and Manufacturing Journal (2023) Vol. 35, Iss. 1, pp. 1-4
Open Access
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