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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:

Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
Yimo Yan, Andy H.F. Chow, Chin Pang Ho, et al.
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 162, pp. 102712-102712
Closed Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Public transport for smart cities: Recent innovations and future challenges
Yong‐Hong Kuo, Janny Leung, Yimo Yan
European Journal of Operational Research (2022) Vol. 306, Iss. 3, pp. 1001-1026
Closed Access | Times Cited: 120
AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
Huanhuan Li, Hang Jiao, Zaili Yang
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 175, pp. 103152-103152
Open Access | Times Cited: 80
Vehicle routing problems with drones equipped with multi-package payload compartments
Mohamed Amine Masmoudi, Simona Mancini, Roberto Baldacci, et al.
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 164, pp. 102757-102757
Open Access | Times Cited: 75
Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review
Zainab Nadhim Jawad, Villányi Balázs
Beni-Suef University Journal of Basic and Applied Sciences (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 26
Enhancing Supply Chain Management with Deep Learning and Machine Learning Techniques: A Review
Ahmed M. Khedr, Sheeja Rani S
Journal of Open Innovation Technology Market and Complexity (2024), pp. 100379-100379
Open Access | Times Cited: 20
Deep reinforcement learning-based active flow control of vortex-induced vibration of a square cylinder
Bernd R. Noack
Physics of Fluids (2023) Vol. 35, Iss. 5
Closed Access | Times Cited: 37
Operational Research: methods and applications
Fotios Petropoulos, Gilbert Laporte, Emel Aktaş, et al.
Journal of the Operational Research Society (2023) Vol. 75, Iss. 3, pp. 423-617
Open Access | Times Cited: 35
Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships
Huanhuan Li, Wenbin Xing, Hang Jiao, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 181, pp. 103367-103367
Open Access | Times Cited: 31
Towards efficient airline disruption recovery with reinforcement learning
Yida Ding, Sebastian Wandelt, Guohua Wu, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 179, pp. 103295-103295
Closed Access | Times Cited: 27
Machine Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva, Meraryslan Meraliyev, Taukekhan Mustakhov, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 6, pp. 4754-4772
Closed Access | Times Cited: 14
A comprehensive review of model compression techniques in machine learning
Pierre V. Dantas, Waldir Sabino da Silva, Lucas C. Cordeiro, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11804-11844
Open Access | Times Cited: 14
Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework
Rameshwar Dubey, Angappa Gunasekaran, Θάνος Παπαδόπουλος
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 189, pp. 103689-103689
Closed Access | Times Cited: 12
Technology-driven logistics and supply chain management for societal impacts
Xuting Sun, Yong‐Hong Kuo, Weili Xue, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 185, pp. 103523-103523
Closed Access | Times Cited: 11
Efficient inventory routing for Bike-Sharing Systems: A combinatorial reinforcement learning framework
Yuhan Guo, Jinning Li, Linfan Xiao, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 182, pp. 103415-103415
Closed Access | Times Cited: 9
Guiding practitioners of road freight transport to implement machine learning for operational planning tasks
Sandra Lechtenberg, Bernd Hellingrath
Transportation research procedia (2025) Vol. 82, pp. 1839-1857
Open Access | Times Cited: 1
Integrated reinforcement learning of automated guided vehicles dynamic path planning for smart logistics and operations
G.T.S. Ho, Yuk Ming Tang, K.H. Leung, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 196, pp. 104008-104008
Open Access | Times Cited: 1
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
Tong Liu, Hadi Meidani
International Journal of Transportation Science and Technology (2025)
Open Access | Times Cited: 1
Toward a Modern Last-Mile Delivery: Consequences and Obstacles of Intelligent Technology
Shahryar Sorooshian, Shila Khademi Sharifabad, Mehrdad Parsaee, et al.
Applied System Innovation (2022) Vol. 5, Iss. 4, pp. 82-82
Open Access | Times Cited: 32
Deep reinforcement learning for demand fulfillment in online retail
Yihua Wang, Stefan Minner
International Journal of Production Economics (2024) Vol. 269, pp. 109133-109133
Closed Access | Times Cited: 7
Automated component delivery management under uncertainty for prefabricated buildings to minimize cost and harmful emissions
Xuan Zhang, Xueqing Zhang
Automation in Construction (2024) Vol. 162, pp. 105388-105388
Closed Access | Times Cited: 6
Application of Artificial Intelligence in tissue engineering
Reza Bagherpour, Ghasem Bagherpour, Parvin Mohammadi
Tissue Engineering Part B Reviews (2024)
Closed Access | Times Cited: 6
Green transport fleet renewal using approximate dynamic programming: A case study in German heavy-duty road transportation
Jonas Winkelmann, Stefan Spinler, Thomas Neukirchen
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 186, pp. 103547-103547
Closed Access | Times Cited: 6
Dynamic scheduling of flexible bus services with hybrid requests and fairness: Heuristics-guided multi-agent reinforcement learning with imitation learning
Weitiao Wu, Yanchen Zhu, Ronghui Liu
Transportation Research Part B Methodological (2024) Vol. 190, pp. 103069-103069
Closed Access | Times Cited: 6
Estimating intercity heavy truck mobility flows using the deep gravity framework
Yitao Yang, Bin Jia, Xiao-Yong Yan, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 179, pp. 103320-103320
Open Access | Times Cited: 13
A knowledge-assisted reinforcement learning optimization for road network design problems under uncertainty
Suh-Wen Chiou
Knowledge-Based Systems (2024) Vol. 292, pp. 111614-111614
Closed Access | Times Cited: 5
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