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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:

Towards Playing Full MOBA Games with Deep Reinforcement Learning
Deheng Ye, Gui-Bin Chen, Wen Zhang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Reinforcement Learning Meets Network Intrusion Detection: A Transferable and Adaptable Framework for Anomaly Behavior Identification
Mingshu He, Xiaojuan Wang, Wei Peng, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 2, pp. 2477-2492
Closed Access | Times Cited: 11
Learning safe control for multi-robot systems: Methods, verification, and open challenges
Kunal Garg, Songyuan Zhang, Oswin So, et al.
Annual Reviews in Control (2024) Vol. 57, pp. 100948-100948
Open Access | Times Cited: 11
A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing
Jiachen Yang, Meng Xi, Jiabao Wen, et al.
Digital Communications and Networks (2022) Vol. 10, Iss. 2, pp. 282-291
Open Access | Times Cited: 26
Interpretable Real-Time Win Prediction for Honor of Kings—A Popular Mobile MOBA Esport
Zelong Yang, Zhufeng Pan, Yan Wang, et al.
IEEE Transactions on Games (2022) Vol. 14, Iss. 4, pp. 589-597
Open Access | Times Cited: 25
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning
Enmin Zhao, Renye Yan, Jinqiu Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 4, pp. 4689-4697
Open Access | Times Cited: 24
BAGAIL: Multi-modal imitation learning from imbalanced demonstrations
Sijia Gu, Fei Zhu
Neural Networks (2024) Vol. 174, pp. 106251-106251
Closed Access | Times Cited: 6
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma, et al.
(2021)
Closed Access | Times Cited: 30
Zone scheduling optimization of pumps in water distribution networks with deep reinforcement learning and knowledge-assisted learning
Jiahui Xu, Hongyuan Wang, Jun Rao, et al.
Soft Computing (2021) Vol. 25, Iss. 23, pp. 14757-14767
Closed Access | Times Cited: 28
A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas
Xinyi Yang, Ziyi Wang, Hengxi Zhang, et al.
Algorithms (2022) Vol. 15, Iss. 6, pp. 205-205
Open Access | Times Cited: 20
Self-play reinforcement learning with comprehensive critic in computer games
Shanqi Liu, Junjie Cao, Yujie Wang, et al.
Neurocomputing (2021) Vol. 449, pp. 207-213
Closed Access | Times Cited: 24
Efficient Parallel Design for Self-Play in Two-Player Zero-Sum Games
Hongsong Tang, Bo Chen, Yingzhuo Liu, et al.
Symmetry (2025) Vol. 17, Iss. 2, pp. 250-250
Open Access
A Multitask-Based Transfer Framework for Cooperative Multi-Agent Reinforcement Learning
Chengyu Hu, C.P. Wang, Wei Luo, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2216-2216
Open Access
Reinforcement learning for automated method development in liquid chromatography: insights in the reward scheme and experimental budget selection
Leon E. Niezen, Pieter Libin, Deirdre Cabooter, et al.
Journal of Chromatography A (2025) Vol. 1748, pp. 465845-465845
Closed Access
Policy Similarity Measure for Two-Player Zero-Sum Games
Hongsong Tang, Liuyu Xiang, Zhaofeng He
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2815-2815
Open Access
Reinforcement Learning for Industrial Control: From Toolkit Development to Practical Applications
Jingliang Duan, Wenxuan Wang, Yao Lyu, et al.
Elsevier eBooks (2025)
Closed Access
Mean Deep Deterministic Policy Gradient Algorithm for Pursuit Strategies in Three-Body Confrontation
Ziheng Wang, Xiandong Pu, Yulin Li, et al.
Expert Systems with Applications (2025), pp. 128139-128139
Closed Access
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search
Sheng Chen, Menghui Zhu, Deheng Ye, et al.
IEEE Transactions on Games (2021) Vol. 13, Iss. 4, pp. 410-421
Open Access | Times Cited: 21
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation
Qiang Hu, Yuejun Guo, Xiaofei Xie, et al.
(2023), pp. 1776-1787
Open Access | Times Cited: 9
Learning State-Specific Action Masks for Reinforcement Learning
Ziyi Wang, Xinran Li, Luoyang Sun, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 60-60
Open Access | Times Cited: 3
Characterizing and Quantifying Expert Input Behavior in League of Legends
Hanbyeol Lee, Seyeon Lee, Rohan Nallapati, et al.
(2024), pp. 1-21
Open Access | Times Cited: 3
Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues
Dingbang Liu, Fenghui Ren, Jun Yan, et al.
IEEE Access (2024) Vol. 12, pp. 94610-94631
Open Access | Times Cited: 3
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
Yang Li, Zhang Shao, Jichen Sun, et al.
Journal of Artificial Intelligence Research (2024) Vol. 80, pp. 1139-1185
Open Access | Times Cited: 3
WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning
Jiake Ge, Yanfeng Chai, Yunpeng Chai
Journal of Computer Science and Technology (2021) Vol. 36, Iss. 4, pp. 741-761
Closed Access | Times Cited: 20
Techniques and Paradigms in Modern Game AI Systems
Yunlong Lu, Wenxin Li
Algorithms (2022) Vol. 15, Iss. 8, pp. 282-282
Open Access | Times Cited: 14
Official International Mahjong: A New Playground for AI Research
Yunlong Lu, Wenxin Li, Wenlong Li
Algorithms (2023) Vol. 16, Iss. 5, pp. 235-235
Open Access | Times Cited: 6
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