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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 survey for deep reinforcement learning in markovian cyber–physical systems: Common problems and solutions
Timothy Rupprecht, Yanzhi Wang
Neural Networks (2022) Vol. 153, pp. 13-36
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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: 8
A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 36
Enhancing Stability and Performance in Mobile Robot Path Planning with PMR-Dueling DQN Algorithm
Demelash Abiye Deguale, Lingli Yu, Melikamu Liyih Sinishaw, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1523-1523
Open Access | Times Cited: 7
DM-DQN: Dueling Munchausen deep Q network for robot path planning
Yuwan Gu, Zhitao Zhu, Jidong Lv, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 4, pp. 4287-4300
Open Access | Times Cited: 25
Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning
Qian Pu, Kun Xie, Hongyu Guo, et al.
Accident Analysis & Prevention (2025) Vol. 214, pp. 107984-107984
Closed Access
A self-learning discrete salp swarm algorithm based on deep reinforcement learning for dynamic job shop scheduling problem
Yiming Gu, Ming Chen, Liang Wang
Applied Intelligence (2023) Vol. 53, Iss. 15, pp. 18925-18958
Closed Access | Times Cited: 11
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: 7
Reachable set control for nonlinear Markov jump cyber–physical systems with false data injection attacks
Xiu-Yang Fan, Wen‐Juan Lin, Zhen Liu, et al.
Journal of the Franklin Institute (2023) Vol. 361, Iss. 1, pp. 224-233
Closed Access | Times Cited: 7
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
Linkang Du, Min Chen, Mingyang Sun, et al.
(2024)
Open Access | Times Cited: 2
A modified evolutionary reinforcement learning for multi-agent region protection with fewer defenders
Siqing Sun, Huachao Dong, Tianbo Li
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3727-3742
Open Access | Times Cited: 2
Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning
Saeid Jamshidi, Ashkan Amirnia, Amin Nikanjam, et al.
Procedia Computer Science (2024) Vol. 238, pp. 1074-1079
Open Access | Times Cited: 2
Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning
Siqing Sun, Tianbo Li, Xiao Chen, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111968-111968
Closed Access | Times Cited: 2
Human–machine cooperative decision-making and planning for automated vehicles using spatial projection of hand gestures
Yiran Zhang, Zhongxu Hu, Peng Hang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102864-102864
Closed Access | Times Cited: 2
Applications of Deep Learning for Drug Discovery Systems with BigData
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 603-624
Open Access | Times Cited: 11
Improving traffic light systems using Deep Q-networks
Juan Moreno-Malo, Juán Luis Posadas, Juan‐Carlos Cano, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124178-124178
Open Access | Times Cited: 1
Interactive Prediction and Decision-Making for Autonomous Vehicles: Online Active Learning With Traffic Entropy Minimization
Yiran Zhang, Shanhe Lou, Peng Hang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17718-17732
Closed Access | Times Cited: 1
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
Alessandro Tundo, Marco Mobilio, Shashikant Ilager, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023), pp. 281-293
Open Access | Times Cited: 3
Observer-based adaptive neural asynchronous H∞ Control for fuzzy Markov jump systems under FDI attacks
Xueyu Cao, Shan Liu, Jian Cen
Journal of the Franklin Institute (2024) Vol. 361, Iss. 16, pp. 107147-107147
Closed Access
Use of Deep Learning Methodologies in Combination with Reinforcement Techniques within Autonomous Mobile Cyber-physical Systems
Volodymyr Levytskyi, Pavlo Kruk, Oleksii Lopuha, et al.
(2024), pp. 455-460
Closed Access
Multiple-objective control of stormwater basins using deep reinforcement learning
Zichun Song, Wenchong Tian, Wei He, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2852-2866
Open Access
Reinforcement Learning-Based MAS Interception in Antagonistic Environments
Siqing Sun, Defu Cai, Hai‐Tao Zhang, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 1, pp. 270-272
Open Access
Improving Security and Privacy in Advanced Federated Learning Environments for Cyber-Physical Systems
Shivani Gaba, Ishan Budhiraja, Vimal Kumar
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2024), pp. 1822-1827
Closed Access
Improving robustness by action correction via multi-step maximum risk estimation
Qinglong Chen, Kun Ding, Xiaoxiong Zhang, et al.
Neural Networks (2024) Vol. 184, pp. 107045-107045
Closed Access
Consistent Epistemic Planning for Multiagent Deep Reinforcement Learning
Peiliang Wu, ShiCheng Luo, LiQiang Tian, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Consistent epistemic planning without communication for MADRL
Peiliang Wu, ShiCheng Luo, LiQiang Tian, et al.
Research Square (Research Square) (2023)
Open Access
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