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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 transportation network combinatorial optimization: A survey
Qi Wang, Chunlei Tang
Knowledge-Based Systems (2021) Vol. 233, pp. 107526-107526
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot
Lei Wu, Xiaodong Huang, Junguo Cui, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119410-119410
Open Access | Times Cited: 164
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
Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning
Kun Lei, Peng Guo, Yi Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 1007-1018
Closed Access | Times Cited: 53
Generative AI and process systems engineering: The next frontier
Benjamin Decardi‐Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, et al.
Computers & Chemical Engineering (2024) Vol. 187, pp. 108723-108723
Open Access | Times Cited: 20
Deep reinforcement learning for the dynamic and uncertain vehicle routing problem
Weixu Pan, Shi Qiang Liu
Applied Intelligence (2022) Vol. 53, Iss. 1, pp. 405-422
Closed Access | Times Cited: 65
Deep Learning and Reinforcement Learning

Artificial intelligence (2023)
Open Access | Times Cited: 28
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: 26
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem
Erick Rodrí­guez-Esparza, Antonio D. Masegosa, Diego Oliva, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124197-124197
Open Access | Times Cited: 11
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
Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110695-110695
Closed Access | Times Cited: 22
Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach
Yubin Liu, Qiming Ye, Jose Javier Escribano Macias, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 177, pp. 103234-103234
Open Access | Times Cited: 19
Smart Visual Sensing for Overcrowding in COVID-19 Infected Cities Using Modified Deep Transfer Learning
Khosro Rezaee, Hossein Ghayoumi Zadeh, Chinmay Chakraborty, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 1, pp. 813-820
Closed Access | Times Cited: 25
A deep learning guided memetic framework for graph coloring problems
Olivier Goudet, Cyril Grelier, Jin‐Kao Hao
Knowledge-Based Systems (2022) Vol. 258, pp. 109986-109986
Open Access | Times Cited: 23
Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning
Qi Wang, Kenneth Lai, Chunlei Tang
Information Sciences (2022) Vol. 619, pp. 930-946
Closed Access | Times Cited: 23
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
Parcel self-collection for urban last-mile deliveries: A review and research agenda with a dual operations-consumer perspective
Bohao Ma, Yiik Diew Wong, Chee‐Chong Teo
Transportation Research Interdisciplinary Perspectives (2022) Vol. 16, pp. 100719-100719
Open Access | Times Cited: 20
Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment
Weiye Li, Songping He, Xinyong Mao, et al.
Journal of Manufacturing Systems (2023) Vol. 67, pp. 424-438
Closed Access | Times Cited: 12
Multi-objective reinforcement learning-based framework for solving selective maintenance problems in reconfigurable cyber-physical manufacturing systems
Fatima Ezzahra Achamrah, Ali Attajer
International Journal of Production Research (2023) Vol. 62, Iss. 10, pp. 3460-3482
Closed Access | Times Cited: 11
Learning for multiple purposes: A Q-learning enhanced hybrid metaheuristic for parallel drone scheduling traveling salesman problem
Ping Chen, Qianlong Wang
Computers & Industrial Engineering (2023) Vol. 187, pp. 109851-109851
Closed Access | Times Cited: 11
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
Open Access
Empowering Branch-and-Bound Algorithms via Reinforcement and Imitation Learning for Enhanced Search
Qi Wang
Applied Soft Computing (2025) Vol. 170, pp. 112690-112690
Closed Access
Intelligent path planning algorithm system for printed display manufacturing using graph convolutional neural network and reinforcement learning
Jiacong Xiong, Jiankui Chen, Wei Chen, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 73-85
Closed 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
Revealing job accessibility supported by public transit services using a graph convolutional network
Meihan Jin, L.H. Liu, Yongxi Gong, et al.
Geo-spatial Information Science (2025), pp. 1-20
Open Access
Rule mining over knowledge graphs via reinforcement learning
Lihan Chen, Sihang Jiang, Jingping Liu, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108371-108371
Open Access | Times Cited: 16
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