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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:

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

Showing 21 citing articles:

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
Development of Machine Learning-Based Indicators for Predicting Comeback Victories Using the Bounty Mechanism in MOBA Games
Junhyuk Lee, Namhyoung Kim
Electronics (2025) Vol. 14, Iss. 7, pp. 1445-1445
Open Access
CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning
Jian Zhao, Xunhan Hu, Mingyu Yang, et al.
IEEE Transactions on Games (2022) Vol. 16, Iss. 1, pp. 140-150
Open Access | Times Cited: 15
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin, Junyou Li, Jianing Shi, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 3257-3263
Open Access | Times Cited: 10
"A Time and Phase for Everything" - Towards A Self Regulated Learning Perspective on Computational Support for Esports
Erica Kleinman, Reza Habibi, Yichen Yao, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CHI PLAY, pp. 1-27
Open Access | Times Cited: 8
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games
Chuang Zhao, Hongke Zhao, Yong Ge, et al.
Proceedings of the ACM Web Conference 2022 (2022)
Closed Access | Times Cited: 7
Performance Evaluation of Multi-Agent Reinforcement Learning Algorithms
Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Wilbur L. Walters, et al.
Intelligent Automation & Soft Computing (2024) Vol. 39, Iss. 2, pp. 337-352
Open Access | Times Cited: 1
A Feature Comparison Study of Live Companion Tools for Esports Games
Letian Wang, Claire Dormann, Günter Wallner
(2024), pp. 1-11
Closed Access | Times Cited: 1
Artificial Intelligence in MOBA Games: A Multivocal Literature Mapping
Lincoln M. Costa, Anders Drachen, Francisco Carlos M. Souza, et al.
IEEE Transactions on Games (2023) Vol. 16, Iss. 2, pp. 250-269
Closed Access | Times Cited: 3
Categorical Learning-based Line-up Prediction in the Drafting Process of MOBA Games
Run-Lu Zhu Run-Lu Zhu, Jie Wang Run-Lu Zhu, Sheng-Jie Zhao Jie Wang
網際網路技術學刊 (2023) Vol. 24, Iss. 2, pp. 411-419
Open Access | Times Cited: 1
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
Tiantian Zhang, Zichuan Lin, Yuxing Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14588-14602
Open Access | Times Cited: 1
A Pre-game Item Recommendation Method Based on Self-Supervised Learning
Zhenshan Bao, Xiaochuan Sun, Wenbo Zhang
(2023), pp. 961-966
Closed Access | Times Cited: 1
Deep learning in multiplayer online battle arena games
Hankang Wu
Applied and Computational Engineering (2024) Vol. 38, Iss. 1, pp. 80-85
Closed Access
BPCoach: Exploring Hero Drafting in Professional MOBA Tournaments via Visual Analytics
Shiyi Liu, Ruiting Ma, Chuyi Zhao, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-31
Open Access
A concise review of intelligent game agent
Hui Li, Xinyi Pang, Baichuan Sun, et al.
Entertainment Computing (2024), pp. 100894-100894
Closed Access
Boosting Offline Reinforcement Learning with Residual Generative Modeling
Hua Wei, Deheng Ye, Zhao Liu, et al.
(2021), pp. 3574-3580
Open Access | Times Cited: 3
Predictive Analytics of First Blood and Match Outcome in Dota 2
Nicholas Heng Loong Wong, Su-inn Kwok, Jun Tan
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2022), pp. 1-6
Closed Access | Times Cited: 2
From StarCraft II to Military Combat
Yi Sun, Ju Liu, Qing Sun
(2022), pp. 595-602
Closed Access | Times Cited: 1
STUDY AND REPORTING OF STATISTICAL ANALYSIS TO DETECT TUBERCULOSIS USING MACHINE LEARNING APPROACH FOR BETTER UNDERSTANDING AND ENHANCING DECISION MAKING
Sanatkumar Gitesh, Mukesh Yadav
International Research Journal of Modernization in Engineering Technology and Science (2023)
Open Access
HLRS: A Deep Reinforcement Learning-Based Hero Recommendation System for MOBA Games
Huicong Bian, Qin Lu
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023) Vol. 7, pp. 2040-2047
Closed Access
Learning Diverse Policies in MOBA Games via Macro-Goals
Yiming Gao, Bei Shi, Xueying Du, et al.
arXiv (Cornell University) (2021)
Open Access
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