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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:

A leader-following paradigm based deep reinforcement learning method for multi-agent cooperation games
Feiye Zhang, Qingyu Yang, Dou An
Neural Networks (2022) Vol. 156, pp. 1-12
Closed Access | Times Cited: 12

Showing 12 citing articles:

Energy management in integrated energy system with electric vehicles as mobile energy storage: An approach using bi-level deep reinforcement learning
Longxiang Chen, Huan He, Rui Jing, et al.
Energy (2024) Vol. 307, pp. 132757-132757
Closed Access | Times Cited: 8
Hierarchical Attention Master–Slave for heterogeneous multi-agent reinforcement learning
Jiao Wang, Mingrui Yuan, Yun Li, et al.
Neural Networks (2023) Vol. 162, pp. 359-368
Closed Access | Times Cited: 12
Collaborative twin actors framework using deep deterministic policy gradient for flexible batch processes
Xindong Wang, Zidong Liu, Junghui Chen
Neural Networks (2025), pp. 107461-107461
Closed Access
Two-level deep reinforcement learning approach for energy management of integrated energy system considering deep peak shaving for combined heat and power and coordinated scheduling of electric vehicles
Pengchao Zhang, Tingting Yang, Hualong Yan, et al.
Applied Thermal Engineering (2025), pp. 126773-126773
Closed Access
Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation
Jinming Li, Qingshan Liu, Guoyi Chi
Neural Networks (2023) Vol. 171, pp. 61-72
Closed Access | Times Cited: 9
VAOS: Enhancing the stability of cooperative multi-agent policy learning
Peng Li, Shaofei Chen, Weilin Yuan, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112474-112474
Closed Access | Times Cited: 2
Hamlet: Hierarchical Multi-Objective Reinforcement Learning Method for Charging Power Control of Electric Vehicles With Dynamic Quantity
Feiye Zhang, Qingyu Yang, Dou An
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 1, pp. 783-794
Closed Access | Times Cited: 5
A unified framework to control estimation error in reinforcement learning
Yujia Zhang, Lin Li, Wei Wei, et al.
Neural Networks (2024) Vol. 178, pp. 106483-106483
Closed Access | Times Cited: 1
Deep reinforcement learning in real-time strategy games: a systematic literature review
Gabriel Caldas Barros e Sá, Charles Madeira
Applied Intelligence (2024) Vol. 55, Iss. 4
Closed Access | Times Cited: 1
Multi-agent Continuous Control with Generative Flow Networks
Shuang Luo, Yinchuan Li, Shunyu Liu, et al.
Neural Networks (2024) Vol. 174, pp. 106243-106243
Open Access
Bi-Level Graph Attention Paradigm with Differential Strategy Integration for Large-Scale Heterogeneous Multi-Agent Reinforcement Learning
Jiao Wang, Yun Li, Xiangyu Wang
(2024)
Closed Access
An efficient and lightweight off-policy actor-critic reinforcement learning framework
Huaqing Zhang, Hongbin Ma, Xiaofei Zhang, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111814-111814
Closed Access
Vaos: Enhancing the Stability of Cooperative Multi-Agent Policy Learning
Peng Li, Shaofei Chen, weilin yuan, et al.
(2024)
Closed Access
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