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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:

StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning
Kun Shao, Yuanheng Zhu, Dongbin Zhao
IEEE Transactions on Emerging Topics in Computational Intelligence (2018) Vol. 3, Iss. 1, pp. 73-84
Open Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals, I. Babuschkin, Wojciech Marian Czarnecki, et al.
Nature (2019) Vol. 575, Iss. 7782, pp. 350-354
Closed Access | Times Cited: 2836
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng, Matteo Leonetti, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 179
SpinalNet: Deep Neural Network With Gradual Input
H M Dipu Kabir, Moloud Abdar, Abbas Khosravi, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 5, pp. 1165-1177
Open Access | Times Cited: 114
Game of Drones: Multi-UAV Pursuit-Evasion Game With Online Motion Planning by Deep Reinforcement Learning
Ruilong Zhang, Qun Zong, Xiuyun Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7900-7909
Closed Access | Times Cited: 74
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 134
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao, Zhentao Tang, Yuanheng Zhu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 134
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling
Zixiao Pan, Ling Wang, Jingjing Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2021) Vol. 7, Iss. 4, pp. 983-994
Closed Access | Times Cited: 65
Large-Scale Computation Offloading Using a Multi-Agent Reinforcement Learning in Heterogeneous Multi-Access Edge Computing
Zhen Gao, Lei Yang, Yu Dai
IEEE Transactions on Mobile Computing (2022) Vol. 22, Iss. 6, pp. 3425-3443
Closed Access | Times Cited: 41
A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources
Zixiao Pan, Ling Wang, Jie Zheng, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1590-1603
Closed Access | Times Cited: 41
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat
Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5417-5429
Open Access | Times Cited: 22
A Survey of Recent Advances in Transfer Learning
Huan Liang, Wenlong Fu, Fengji Yi
(2019), pp. 1516-1523
Closed Access | Times Cited: 70
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
Yuanheng Zhu, Dongbin Zhao
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 3, pp. 1228-1241
Closed Access | Times Cited: 53
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture
Zixiang Ding, Yaran Chen, Nannan Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 5004-5018
Open Access | Times Cited: 50
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing
Xuanchen Xiang, Simon Y. Foo
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 3, pp. 554-581
Open Access | Times Cited: 44
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 8, pp. 3966-3978
Closed Access | Times Cited: 40
Game of Drones: Intelligent Online Decision Making of Multi-UAV Confrontation
Da Liu, Qun Zong, Xiuyun Zhang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 2086-2100
Closed Access | Times Cited: 5
Machine learning and deep learning for cancer diagnosis
Taiwo Soewu, Harpreet Kaur, Ramandeep Sandhu, et al.
Elsevier eBooks (2025), pp. 83-129
Closed Access
Enhanced Location Prediction for Wargaming with Graph Neural Networks and Transformers
Dong Liang, Junliang Li, Junping Yin
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1723-1723
Open Access
A Review of Multi-Agent Reinforcement Learning Algorithms
Jiaxin Liang, Haotian Miao, Kai Li, et al.
Electronics (2025) Vol. 14, Iss. 4, pp. 820-820
Open Access
A Novel Digital Modulation Recognition Algorithm Based on Deep Convolutional Neural Network
Kaiyuan Jiang, Jiawei Zhang, Haibin Wu, et al.
Applied Sciences (2020) Vol. 10, Iss. 3, pp. 1166-1166
Open Access | Times Cited: 47
Lateral Transfer Learning for Multiagent Reinforcement Learning
Haobin Shi, Jingchen Li, Jiahui Mao, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 3, pp. 1699-1711
Closed Access | Times Cited: 38
Curriculum-Based Deep Reinforcement Learning for Quantum Control
Hailan Ma, Daoyi Dong, Steven X. Ding, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8852-8865
Open Access | Times Cited: 26
Flooding and Overflow Mitigation Using Deep Reinforcement Learning Based on Koopman Operator of Urban Drainage Systems
Wenchong Tian, Zhenliang Liao, Zhiyu Zhang, et al.
Water Resources Research (2022) Vol. 58, Iss. 7
Open Access | Times Cited: 26
A Survey of Opponent Modeling in Adversarial Domains
Samer B. Nashed, Shlomo Zilberstein
Journal of Artificial Intelligence Research (2022) Vol. 73, pp. 277-327
Open Access | Times Cited: 22
Modular Architecture for StarCraft II with Deep Reinforcement Learning
Dennis Lee, Haoran Tang, Jeffrey Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2018) Vol. 14, Iss. 1, pp. 187-193
Open Access | Times Cited: 38
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