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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:

Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork
Chang Wang, Lizhen Wu, Chao Yan, et al.
Chinese Journal of Aeronautics (2020) Vol. 33, Iss. 11, pp. 2930-2945
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Shufei Li, Pai Zheng, Sichao Liu, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102510-102510
Open Access | Times Cited: 135
Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps
Chao Yan, Chang Wang, Xiaojia Xiang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 2, pp. 1260-1270
Closed Access | Times Cited: 63
Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments
Zijian Hu, Xiaoguang Gao, Kaifang Wan, et al.
Chinese Journal of Aeronautics (2021) Vol. 34, Iss. 12, pp. 187-204
Open Access | Times Cited: 50
Explainable Goal-driven Agents and Robots - A Comprehensive Review
Sado Fatai, Chu Kiong Loo, Wei Shiung Liew, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 10, pp. 1-41
Open Access | Times Cited: 29
Explainability in Deep Reinforcement Learning: A Review into Current Methods and Applications
Thomas Hickling, Abdelhafid Zenati, Nabil Aouf, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-35
Open Access | Times Cited: 19
An overview: Attention mechanisms in multi-agent reinforcement learning
Kai Hu, Keer Xu, Qingfeng Xia, et al.
Neurocomputing (2024) Vol. 598, pp. 128015-128015
Closed Access | Times Cited: 6
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Insights of Key Technologies for Manned-Unmanned Teaming
Man Yuan, Chang Wang, Lizhen Wu, et al.
Lecture notes in electrical engineering (2025), pp. 646-658
Closed Access
Distributed coordinated control scheme of UAV swarm based on heterogeneous roles
Jiang Zhao, Jiaming Sun, Zhihao Cai, et al.
Chinese Journal of Aeronautics (2021) Vol. 35, Iss. 1, pp. 81-97
Open Access | Times Cited: 33
Autonomous and cooperative control of UAV cluster with multi-agent reinforcement learning
Dan Xu, Gang Chen
The Aeronautical Journal (2022) Vol. 126, Iss. 1300, pp. 932-951
Closed Access | Times Cited: 22
Who’s in Charge Here? A Survey on Trustworthy AI in Variable Autonomy Robotic Systems
Leila Methnani, Manolis Chiou, Virginia Dignum, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-32
Open Access | Times Cited: 4
MADRL-based UAV swarm non-cooperative game under incomplete information
Ershen Wang, Fan Liu, Chen Hong, et al.
Chinese Journal of Aeronautics (2024) Vol. 37, Iss. 6, pp. 293-306
Open Access | Times Cited: 3
Technologies and studies of gas exchange in two-stroke aircraft piston engine: A review
Yu Zhou, Xueyu LI, Shuiting Ding, et al.
Chinese Journal of Aeronautics (2022) Vol. 37, Iss. 1, pp. 24-50
Open Access | Times Cited: 17
A distributed approach for lidar-based relative state estimation of multi-UAV in GPS-denied environments
Hongming Shen, Qun Zong, Hanchen Lu, et al.
Chinese Journal of Aeronautics (2021) Vol. 35, Iss. 1, pp. 59-69
Open Access | Times Cited: 18
Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning
Xiaoqi Qiu, Changsheng Gao, Kefan Wang, et al.
Journal of Aerospace Engineering (2021) Vol. 35, Iss. 2
Closed Access | Times Cited: 18
Sustainable human resource management the mediating role between work engagement and teamwork performance
Virginia Navajas-Romero, Nuria Ceular-Villamandos, Manuel Adolfo Pérez-Priego, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0271134-e0271134
Open Access | Times Cited: 13
A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks
David J. Richter, Ricardo A. Calix, Kyungbaek Kim
IEEE Access (2024) Vol. 12, pp. 103026-103048
Open Access | Times Cited: 2
PPO-Exp: Keeping Fixed-Wing UAV Formation with Deep Reinforcement Learning
Dan Xu, Yunxiao Guo, Zhongyi Yu, et al.
Drones (2022) Vol. 7, Iss. 1, pp. 28-28
Open Access | Times Cited: 10
A Fast and Robust Algorithm with Reinforcement Learning for Large UAV Cluster Mission Planning
Lei Zuo, Shan Gao, Yachao Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1304-1304
Open Access | Times Cited: 8
Reinforcement learning in autonomous multi-vehicle systems: A structured review
Florian Merkle, Gregor Blossey, Stefan Haeussler, et al.
(2024), pp. 310-317
Open Access | Times Cited: 1
Research on Multi Unmanned Aerial Vehicles Emergency Task Planning Method Based on Discrete Multi-Objective TLBO Algorithm
Miao Tang, Minghua Hu, Honghai Zhang, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2555-2555
Open Access | Times Cited: 7
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review and New Framework
Sado Fatai, Chu Kiong Loo, Matthias Kerzel, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 9
End-to-End Deep Reinforcement Learning for Image-Based UAV Autonomous Control
Jiang Zhao, Jiaming Sun, Zhihao Cai, et al.
Applied Sciences (2021) Vol. 11, Iss. 18, pp. 8419-8419
Open Access | Times Cited: 9
Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning
Yunxiao Guo, Xinjia Xie, Runhao Zhao, et al.
Lecture notes in computer science (2023), pp. 271-283
Closed Access | Times Cited: 3
Complexity-Driven Trust Dynamics in Human–Robot Interactions: Insights from AI-Enhanced Collaborative Engagements
Yi Zhu, Taotao Wang, Chang Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 12989-12989
Open Access | Times Cited: 3
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