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:

An inverse reinforcement learning framework with the Q-learning mechanism for the metaheuristic algorithm
Fuqing Zhao, Qiaoyun Wang, Ling Wang
Knowledge-Based Systems (2023) Vol. 265, pp. 110368-110368
Closed Access | Times Cited: 24

Showing 24 citing articles:

Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Yanjie Song, Yutong Wu, Yangyang Guo, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101517-101517
Open Access | Times Cited: 31

Reinforcement learning and collective cooperation on higher-order networks
Yan Xu, Juan Wang, Jiaxing Chen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112326-112326
Closed Access | Times Cited: 11

Solving Heterogeneous USV Scheduling Problems by Problem-Specific Knowledge Based Meta-Heuristics with Q-Learning
Zhenfang Ma, Kaizhou Gao, Hui Yu, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 339-339
Open Access | Times Cited: 7

Artificial Intelligence Algorithms in Flood Prediction: A General Overview
Manish Pandey
Springer eBooks (2024), pp. 243-296
Closed Access | Times Cited: 5

Conclusion
Chao Huang, Hailong Huang, Yiying Zhang
Elsevier eBooks (2025), pp. 215-223
Closed Access

Knowledge guided deep deterministic policy gradient
Peng Qin, Tao Zhao
Knowledge-Based Systems (2025), pp. 113087-113087
Closed Access

Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
Yang Yang, Yuchao Gao, Zhe Ding, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Closed Access | Times Cited: 3

A green scheduling model for two-stage photo-etching and acid-etching collaboration in semiconductor manufacturing
Min Kong, Yajing Zhang, Jin Xu, et al.
Journal of Industrial Information Integration (2024) Vol. 41, pp. 100655-100655
Closed Access | Times Cited: 2

An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming
Yarong Chen, Jia Yan Du, Jabir Mumtaz, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125616-125616
Closed Access | Times Cited: 2

Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model
Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo, et al.
IEEE Access (2023) Vol. 11, pp. 116860-116878
Open Access | Times Cited: 6

A co-evolutionary migrating birds optimization algorithm based on online learning policy gradient
Fuqing Zhao, Tao Jiang, Tianpeng Xu, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120261-120261
Closed Access | Times Cited: 4

A Q-learning driven competitive surrogate assisted evolutionary optimizer with multiple oriented mutation operators for expensive problems
Qinna Zhu, Haibo Yu, Kang Li, et al.
Information Sciences (2024) Vol. 682, pp. 121224-121224
Closed Access | Times Cited: 1

Evolving malware detection through instant dynamic graph inverse reinforcement learning
Chen Liu, Bo Li, Xudong Liu, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 111991-111991
Closed Access

Improved Runge Kutta Optimization Using Compound Mutation Strategy in Reinforcement Learning Decision Making for Feature Selection
Jinpeng Huang, Yi Chen, Ali Asghar Heidari, et al.
Journal of Bionic Engineering (2024) Vol. 21, Iss. 5, pp. 2460-2496
Closed Access

Q-Learning-Driven Framework for High-Dimensional Optimization Problems
Kanchan Rajwar, Kusum Deep
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access

Enhanced Multi-Strategy Slime Mould Algorithm for Global Optimization Problems
Yuncheng Dong, Ruichen Tang, Xinyu Cai
Biomimetics (2024) Vol. 9, Iss. 8, pp. 500-500
Open Access

Knowledge guided fuzzy deep reinforcement learning
Peng Qin, Tao Zhao
Expert Systems with Applications (2024), pp. 125823-125823
Closed Access

A collaborative estimation of distribution algorithm based on fitness landscape characteristic
Fuqing Zhao, Mengjie Li, Yang Yu, et al.
Applied Soft Computing (2024), pp. 112628-112628
Closed Access

Intelligent navigation for the cruise phase of solar system boundary exploration based on Q-learning EKF
Wenjian Tao, Jinxiu Zhang, Hang Hu, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 2, pp. 2653-2672
Open Access | Times Cited: 1

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