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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:

Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning
Zizhen Zhang, Hong Liu, MengChu Zhou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 4, pp. 2119-2132
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems
Yi Zhang, Haihua Zhu, Dunbing Tang, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102412-102412
Closed Access | Times Cited: 129
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems
Hanxiao Li, Kaizhou Gao, Peiyong Duan, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 5, pp. 2684-2693
Closed Access | Times Cited: 113
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: 103
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing
Changchun Liu, Haihua Zhu, Dunbing Tang, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102357-102357
Closed Access | Times Cited: 83
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
Zizhen Zhang, Zhiyuan Wu, Hang Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7978-7991
Open Access | Times Cited: 57
Multi-Neighborhood Simulated Annealing-Based Iterated Local Search for Colored Traveling Salesman Problems
Yangming Zhou, Wenqiang Xu, Zhang-Hua Fu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 16072-16082
Closed Access | Times Cited: 49
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: 24
Machine learning approach for truck-drones based last-mile delivery in the era of industry 4.0
Ali Arishi, Krishna Krishnan, Majed Arishi
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105439-105439
Closed Access | Times Cited: 33
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem
Jiang‐Ping Huang, Liang Gao, Xinyu Li
Expert Systems with Applications (2023) Vol. 238, pp. 121756-121756
Closed Access | Times Cited: 21
A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling
Long Cheng, Wang Yue, Feng Cheng, et al.
IEEE Transactions on Sustainable Computing (2023) Vol. 9, Iss. 3, pp. 422-432
Closed Access | Times Cited: 19
Optimal EV Fast Charging Station Deployment Based on a Reinforcement Learning Framework
Zhonghao Zhao, C.K.M. Lee, Jingzheng Ren, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 8, pp. 8053-8065
Closed Access | Times Cited: 17
A Novel Framework Combining MPC and Deep Reinforcement Learning With Application to Freeway Traffic Control
Dingshan Sun, Anahita Jamshidnejad, Bart De Schutter
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6756-6769
Open Access | Times Cited: 7
MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning
Ziren Xiao, Peisong Li, Chang Liu, et al.
Information Fusion (2024) Vol. 105, pp. 102250-102250
Closed Access | Times Cited: 7
Multi-Task Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing
Xiaolong Liu, Honglong Chen, Yuping Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16845-16858
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: 5
A Bin-Packing-Based Method for Path Planning of Air–Ground Cooperative System
Denglong Wu, Junqi Zhang, Abdullah Abusorrah, et al.
IEEE Transactions on Vehicular Technology (2025) Vol. 74, Iss. 1, pp. 279-291
Closed 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
Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning
Long Cheng, Archana Kalapgar, Amogh Jain, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18579-18593
Closed Access | Times Cited: 22
Look-ahead based reinforcement learning for robotic flow shop scheduling
Hyun-Jung Kim, Jun-Ho Lee
Journal of Manufacturing Systems (2023) Vol. 68, pp. 160-175
Closed Access | Times Cited: 13
Dynamic robot routing optimization: State–space decomposition for operations research-informed reinforcement learning
Marlon Löppenberg, Steve Yuwono, Mochammad Rizky Diprasetya, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102812-102812
Open Access | Times Cited: 4
Tacit knowledge-informed approximate dynamic programming for last-mile delivery operations in online-to-offline pharmacies
Xuan Yang, Hao Luo, Xinyao Nie, et al.
Industrial Management & Data Systems (2025)
Closed Access
Deep‐Learning‐Enabled Fast Raman Identification of the Twist Angle of Bi‐Layer Graphene
Yangbo Chen, Cheng Li, Shan Liu, et al.
Small (2025)
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
Cutting path planning using reinforcement learning with adaptive sequence adjustment and attention mechanisms
Kaiqi Wang, Shijin Zhang, Yuqiang Wu, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Open Access
Live Traffic Video Multicasting Services in UAV-Assisted Intelligent Transport Systems: A Multiactor Attention Critic Approach
Fang Fu, Bin Xue, Lin Cai, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 22, pp. 19740-19752
Closed Access | Times Cited: 11
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