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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 Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li, Yining Ma, Ruize Gao, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 12, pp. 13572-13585
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Multi-agent deep reinforcement learning for resilience-driven routing and scheduling of mobile energy storage systems
Yi Wang, Dawei Qiu, Goran Štrbac
Applied Energy (2022) Vol. 310, pp. 118575-118575
Closed Access | Times Cited: 70
Analytics and machine learning in vehicle routing research
Ruibin Bai, Xinan Chen, Zhi‐Long Chen, et al.
International Journal of Production Research (2021) Vol. 61, Iss. 1, pp. 4-30
Open Access | Times Cited: 67
An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem
Bingjie Li, Guohua Wu, Yong‐Ming He, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 7, pp. 1115-1138
Open Access | Times Cited: 65
Deep reinforcement learning method for satellite range scheduling problem
Junwei Ou, Lining Xing, Feng Yao, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101233-101233
Closed Access | Times Cited: 40
A review on learning to solve combinatorial optimisation problems in manufacturing
Cong Zhang, Yaoxin Wu, Yining Ma, et al.
IET Collaborative Intelligent Manufacturing (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 25
Energy-optimal routing for electric vehicles using deep reinforcement learning with transformer
Mengcheng Tang, Weichao Zhuang, Bingbing Li, et al.
Applied Energy (2023) Vol. 350, pp. 121711-121711
Closed Access | Times Cited: 22
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: 12
Learning to Construct a Solution for the Agile Satellite Scheduling Problem With Time-Dependent Transition Times
Ming Chen, Yonghao Du, Ke Tang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 10, pp. 5949-5963
Closed Access | Times Cited: 12
Deep Reinforcement Learning Enabled Multi-UAV Scheduling for Disaster Data Collection With Time-Varying Value
P.-J. Wan, Gangyan Xu, Jiawei Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6691-6702
Closed Access | Times Cited: 11
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning
Rongkai Zhang, Cong Zhang, Zhiguang Cao, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 1, pp. 1325-1336
Open Access | Times Cited: 28
Green Vehicle Routing Problem: State of the Art and Future Directions
Saba Sabet, Bilal Farooq
IEEE Access (2022) Vol. 10, pp. 101622-101642
Open Access | Times Cited: 27
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Yining Ma, Jingwen Li, Zhiguang Cao, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 4776-4784
Open Access | Times Cited: 25
FL-AMM: Federated Learning Augmented Map Matching With Heterogeneous Cellular Moving Trajectories
Huali Lu, Feng Lyu, Huaqing Wu, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 41, Iss. 12, pp. 3878-3892
Closed Access | Times Cited: 14
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
Haoran Ye, Jiarui Wang, Helan Liang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 20284-20292
Open Access | Times Cited: 5
Unmanned aerial vehicle–human collaboration route planning for intelligent infrastructure inspection
Yue Pan, Linfeng Li, Jianjun Qin, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 14, pp. 2074-2104
Open Access | Times Cited: 4
Achieving accurate trajectory predicting and tracking for autonomous vehicles via reinforcement learning-assisted control approaches
Tan Guangwen, Mengshan Li, Hou Biyu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108773-108773
Closed Access | Times Cited: 4
Solving many-objective delivery and pickup vehicle routing problem with time windows with a constrained evolutionary optimization algorithm
Junwei Ou, Xiaolu Liu, Lining Xing, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124712-124712
Closed Access | Times Cited: 4
Enhancing the generalization capability of 2D array pointer networks through multiple teacher-forcing knowledge distillation
Qidong Liu, X. Y. Shen, Chaoyue Liu, et al.
Journal of Automation and Intelligence (2025)
Open Access
Study on deep reinforcement learning for multi-task scheduling in cloud manufacturing
Jiuhong Xiao, Yishuai Cai, Yong Chen
International Journal of Computer Integrated Manufacturing (2025), pp. 1-18
Closed Access
Constraint-Aware Deep Reinforcement Learning for Generalizable Drone Routing Solutions
Chuankai Xiang, Zhibin Wu, Lishuai Li
(2025)
Closed Access
Hisom: Hierarchical Self‐Organizing Map for Solving Multiple Traveling Salesman Problems
Qingshu Guan, Hui Cao, Xianjing Zhong, et al.
Networks (2025)
Open Access
Reinforcement Learning for Optimizing Routing in the Production Supply of Matrix Production Systems
Florian Ried, Simon Niederdränk, Johannes Fottner
Communications in computer and information science (2025), pp. 270-281
Closed Access
The Dynamic Traveling Salesman Problem with Time-Dependent and Stochastic travel times: A deep reinforcement learning approach
Dawei Chen, Christina Imdahl, David Lai, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 172, pp. 105022-105022
Open Access
Synergetic attention-driven transformer: A Deep reinforcement learning approach for vehicle routing problems
Qingshu Guan, Hui Cao, Lixin Jia, et al.
Expert Systems with Applications (2025), pp. 126961-126961
Closed Access
AIAM: Adaptive interactive attention model for solving p-Median problem via deep reinforcement learning
Haojian Liang, Shaohua Wang, Huilai Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 138, pp. 104454-104454
Closed Access
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