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:

Deep Reinforcement Learning-Based Air-to-Air Combat Maneuver Generation in a Realistic Environment
Jung Ho Bae, Hoseong Jung, Seogbong Kim, et al.
IEEE Access (2023) Vol. 11, pp. 26427-26440
Open Access | Times Cited: 19

Showing 19 citing articles:

Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction
Xinwei Wang, Yihui Wang, Xichao Su, et al.
Artificial Intelligence Review (2023) Vol. 57, Iss. 1
Closed Access | Times Cited: 44

Multi-agent Recurrent Actor-Critic for Cooperative Decision-Making in Within Visual Range Air Combat
C. Chen, Dongxiao Yin, Li Mo, et al.
Lecture notes in electrical engineering (2025), pp. 392-401
Closed Access

A Survey of Current Applications of Inverse Reinforcement Learning in Aviation and Future Outlooks
Rupal Nigam, Jongwan Choi, Niket Parikh, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access

Deep Reinforcement Learning for Facilitating Human-Robot Interaction in Manufacturing
Nathan Eskue, Márcia Baptista
Springer series in advanced manufacturing (2025), pp. 69-95
Closed Access

Large Language Model Guided Reinforcement Learning Based Six-Degree-of-Freedom Flight Control
Yanqiao Han, Menglong Yang, Yang Ren, et al.
IEEE Access (2024) Vol. 12, pp. 89479-89492
Open Access | Times Cited: 2

Learning Scalable Task Assignment with Imperative-Priori Conflict Resolution in Multi-UAV Adversarial Swarm Defense Problem
Zhixin Zhao, Jie Chen, Bin Xin, et al.
Journal of Systems Science and Complexity (2024) Vol. 37, Iss. 1, pp. 369-388
Closed Access | Times Cited: 1

Enhanced missile hit probability actor-critic algorithm for autonomous decision-making in air-to-air confrontation
C. Chen, Li Mo, Maolong Lv, et al.
Aerospace Science and Technology (2024) Vol. 151, pp. 109285-109285
Closed Access | Times Cited: 1

Autonomous Maneuver Decision-Making Through Curriculum Learning and Reinforcement Learning With Sparse Rewards
Yujie Wei, Hongpeng Zhang, Yuan Wang, et al.
IEEE Access (2023) Vol. 11, pp. 73543-73555
Open Access | Times Cited: 3

Multi-intent autonomous decision-making for air combat with deep reinforcement learning
Luyu Jia, Chengtao Cai, Xingmei Wang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 29076-29093
Closed Access | Times Cited: 3

UAV Head-On Situation Maneuver Generation Using Transfer-Learning-Based Deep Reinforcement Learning
In-Su Hwang, Jung Ho Bae
International Journal of Aeronautical and Space Sciences (2024) Vol. 25, Iss. 2, pp. 410-419
Open Access

Maneuver-Conditioned Decision Transformer for Tactical in-Flight Decision-Making
Hoseong Jung, Yong-Duk Kim, Youngjung Kim
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5322-5329
Closed Access

Learning and Fast Adaptation for Air Combat Decision with Improved Deep Meta-reinforcement Learning
Pin Zhang, Wenhan Dong, Ming Cai, et al.
International Journal of Aeronautical and Space Sciences (2024)
Closed Access

A Tactical Planning Process in Computer-Generated Forces Team Behavior Within Air Combat Simulations: Concept and First Implementations
Fabian Reinisch, Michael Strohal, Peter Stütz
Lecture notes in computer science (2024), pp. 247-262
Closed Access

Two Circle-based Aircraft Head-on Reinforcement Learning Technique using Curriculum
In-Su Hwang, Jung‐Ho Bae
Journal of the Korea Institute of Military Science and Technology (2023) Vol. 26, Iss. 4, pp. 352-360
Open Access | Times Cited: 1

An Evolutionary Reinforcement Learning Approach for Autonomous Maneuver Decision in One-to-One Short-Range Air Combat
Yasin Baykal, Barış Başpınar
2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC) (2023), pp. 1-9
Closed Access | Times Cited: 1

Reinforcement Learning Methods for Fixed-Wing Aircraft Control
Lun Li, Xuebo Zhang, Yang Wang, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 1

Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering
Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, et al.
(2023), pp. 1031-1038
Open Access | Times Cited: 1

Improved 1vs1 Air Combat Model With Self-Play Soft Actor-Critic and Sparse Rewards
Hoseong Jung, Yong-Duk Kim
(2023), pp. 1962-1968
Closed Access

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