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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:

Deep reinforcement learning and parameter transfer based approach for the multi-objective agile earth observation satellite scheduling problem
Luona Wei, Yuning Chen, Ming Chen, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107607-107607
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
Yanjie Song, Luona Wei, Qing Yang, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101236-101236
Open Access | Times Cited: 79
DEEM: A Differential Evolution Ensemble Method for optimizing agile satellite scheduling
Ming Chen, Bohua Li, Lining Xing, et al.
Expert Systems with Applications (2025), pp. 126771-126771
Closed Access | Times Cited: 2
Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges
Massimo Tipaldi, Raffaele Iervolino, Paolo Roberto Massenio
Annual Reviews in Control (2022) Vol. 54, pp. 1-23
Closed Access | Times Cited: 43
Deep reinforcement learning method for satellite range scheduling problem
Junwei Ou, Lining Xing, Feng Yao, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101233-101233
Closed Access | Times Cited: 41
Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications
Tarek Naous, May Itani, Mariette Awad, et al.
IEEE Access (2023) Vol. 11, pp. 19941-19968
Open Access | Times Cited: 26
Multi-satellite cooperative scheduling method for large-scale tasks based on hybrid graph neural network and metaheuristic algorithm
Xiaoen Feng, Yuqing Li, Minqiang Xu
Advanced Engineering Informatics (2024) Vol. 60, pp. 102362-102362
Closed Access | Times Cited: 12
Learning to Construct a Solution for the Agile Satellite Scheduling Problem With Time-Dependent Transition Times
Ming Chen, Yonghao Du, Ke Tang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 10, pp. 5949-5963
Closed Access | Times Cited: 12
Multi-objective neural policy approach for agile earth satellite scheduling problem considering image quality
Luona Wei, Yongqiang Cui, Ming Chen, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101857-101857
Closed Access | Times Cited: 1
Simulated Annealing-Based Heuristic for Multiple Agile Satellites Scheduling Under Cloud Coverage Uncertainty
Chao Han, Yi Gu, Guohua Wu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 5, pp. 2863-2874
Open Access | Times Cited: 33
When architecture meets AI: A deep reinforcement learning approach for system of systems design
Menglong Lin, Тао Чен, Honghui Chen, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101965-101965
Closed Access | Times Cited: 21
Reinforcement Learning for the Agile Earth-Observing Satellite Scheduling Problem
Adam Herrmann, Hanspeter Schaub
IEEE Transactions on Aerospace and Electronic Systems (2023), pp. 1-13
Closed Access | Times Cited: 20
Deep reinforcement learning for multi-objective combinatorial optimization: A case study on multi-objective traveling salesman problem
Shicheng Li, Feng Wang, Qi He, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101398-101398
Closed Access | Times Cited: 17
Improved Adaptive Large Neighborhood Search Algorithm Based on the Two-Stage Framework for Scheduling Multiple Super-Agile Satellites
Guohua Wu, Zhiqing Xiang, Yalin Wang, et al.
IEEE Transactions on Aerospace and Electronic Systems (2024) Vol. 60, Iss. 5, pp. 7185-7200
Closed Access | Times Cited: 6
Scheduling single-satellite observation and transmission tasks by using hybrid Actor-Critic reinforcement learning
Zhijiang Wen, Lu Li, Jiakai Song, et al.
Advances in Space Research (2022) Vol. 71, Iss. 9, pp. 3883-3896
Closed Access | Times Cited: 23
A Bilevel Evolutionary Algorithm for Large-Scale Multiobjective Task Scheduling in Multiagile Earth Observation Satellite Systems
Feng Yao, Yingguo Chen, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3512-3524
Closed Access | Times Cited: 5
Deep Reinforcement Learning-Based Approach With Varying-Scale Generalization for the Earth Observation Satellite Scheduling Problem Considering Resource Consumptions and Supplements
Yaosong Long, Chengjun Shan, Wei Shang, et al.
IEEE Transactions on Aerospace and Electronic Systems (2024) Vol. 60, Iss. 3, pp. 2572-2585
Closed Access | Times Cited: 5
Satellite Observation and Data-Transmission Scheduling using Imitation Learning based on Mixed Integer Linear Programming
Qingyu Qu, Kexin Liu, Xijun Li, et al.
IEEE Transactions on Aerospace and Electronic Systems (2022), pp. 1-25
Closed Access | Times Cited: 19
DeepTransHAR: a novel clustering-based transfer learning approach for recognizing the cross-domain human activities using GRUs (Gated Recurrent Units) Networks
Prabhat Kumar, S. Suresh
Internet of Things (2023) Vol. 21, pp. 100681-100681
Open Access | Times Cited: 11
A dynamic decomposition optimization framework for multi-satellite scheduling of area target observation
Maocai Wang, C. C. Pei, Xiaoyu Chen, et al.
Advances in Space Research (2025)
Closed Access
Satellite Scheduling Framework of Observation-Relay-Downlink With a Mixed-Integer Linear Programming Model
Sung Jun Kim, Minchae Kim, Chae-Hyeon Kim, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
A neural priority model for agile earth observation satellite scheduling using deep reinforcement learning
Ming Chen, Luona Wei, Jie Chun, et al.
Applied Soft Computing (2025), pp. 112984-112984
Closed Access
Deep Reinforcement Learning for the Agile Earth Observation Satellite Scheduling Problem
Jie Chun, Wenyuan Yang, Xiaolu Liu, et al.
Mathematics (2023) Vol. 11, Iss. 19, pp. 4059-4059
Open Access | Times Cited: 10
Learning-based constellation scheduling for time-sensitive space multi-target collaborative observation
Yan Liu, Zhijiang Wen, Shengyu Zhang, et al.
Advances in Space Research (2024) Vol. 73, Iss. 9, pp. 4751-4766
Closed Access | Times Cited: 3
A Mission Planning Method for Deep Space Detectors Using Deep Reinforcement Learning
Yuheng Qi, Defeng Gu, Yuan Liu, et al.
Aerospace Science and Technology (2024) Vol. 153, pp. 109417-109417
Closed Access | Times Cited: 3
Earth Observation Satellite Scheduling Based on Actor-Critic Algorithm
Chao Chen, ZhiTao Wang, Nuan Wang, et al.
Lecture notes in electrical engineering (2025), pp. 205-216
Closed Access
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