Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Reinforcement learning algorithms: A brief survey
Ashish Kumar Shakya, G. N. Pillai, Sohom Chakrabarty
Expert Systems with Applications (2023) Vol. 231, pp. 120495-120495
Closed Access | Times Cited: 166

Showing 1-25 of 166 citing articles:

Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions
Sachin Chougule, Bharat S. Chaudhari, Sheetal N. Ghorpade, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 2, pp. 39-39
Open Access | Times Cited: 17
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review
Mokhaled N. A. Al-Hamadani, Mohammed A. Fadhel, Laith Alzubaidi, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2461-2461
Open Access | Times Cited: 17
An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
Open Access | Times Cited: 3
Safety-efficiency integrated assembly: The next-stage adaptive task allocation and planning framework for human–robot collaboration
Ruihan Zhao, Sichen Tao, Pengzhong Li
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102942-102942
Closed Access | Times Cited: 2
A review of energy storage systems for facilitating large-scale EV charger integration in electric power grid
Doğan Çeli̇k, Muhammad Adnan Khan, Nima Khosravi, et al.
Journal of Energy Storage (2025) Vol. 112, pp. 115496-115496
Closed Access | Times Cited: 2
A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning
Md. Shadman Abid, Hasan Jamil Apon, Salman Hossain, et al.
Applied Energy (2023) Vol. 353, pp. 122029-122029
Closed Access | Times Cited: 24
Revolutionizing Healthcare Platforms: The Impact of AI on Patient Engagement and Treatment Efficacy
Parul Batra Deep Manishkumar
International Journal of Science and Research (IJSR) (2024) Vol. 13, Iss. 2, pp. 273-280
Open Access | Times Cited: 13
Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network
Mohammad Shahin, Mazdak Maghanaki, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 5343-5419
Closed Access | Times Cited: 9
Enhancing hexapod robot mobility on challenging terrains: Optimizing CPG-generated gait with reinforcement learning
Shichang Huang, Minhua Zheng, Zhongyu Hu, et al.
Neurocomputing (2025), pp. 129328-129328
Closed Access | Times Cited: 1
A modified dueling DQN algorithm for robot path planning incorporating priority experience replay and artificial potential fields
Chang Li, Xiaofeng Yue, Zeyuan Liu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access | Times Cited: 1
A critical review of safe reinforcement learning strategies in power and energy systems
Van‐Hai Bui, Sina Mohammadi, Srijita Das, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110091-110091
Closed Access | Times Cited: 1
Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues
Muhammad Ali, Viviana Benfante, Ghazal Basirinia, et al.
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 59-59
Open Access | Times Cited: 1
Optimal online energy management strategy of a fuel cell hybrid bus via reinforcement learning
Pengyi Deng, Xiaohua Wu, Jialuo Yang, et al.
Energy Conversion and Management (2023) Vol. 300, pp. 117921-117921
Closed Access | Times Cited: 22
Reinforcement learning-based multi-objective differential evolution for wind farm layout optimization
Xiaobing Yu, Yangchen Lu
Energy (2023) Vol. 284, pp. 129300-129300
Closed Access | Times Cited: 19
Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review
Svetlana N. Khonina, Nikolay L. Kazanskiy, Ivan Oseledets, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 163-163
Open Access | Times Cited: 7
Dynamic warning zone and a short-distance goal for autonomous robot navigation using deep reinforcement learning
Estrella Montero, Husna Mutahira, Nabih Pico, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 1, pp. 1149-1166
Open Access | Times Cited: 13
Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning
Keerthana Sivamayilvelan, R Elakkiya, V. Subramaniyaswamy, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124951-124951
Closed Access | Times Cited: 5
Transportation mode detection through spatial attention-based transductive long short-term memory and off-policy feature selection
Mahsa Merikhipour, Shayan Khanmohammadidoustani, Muhammad Daud Abbasi
Expert Systems with Applications (2024) Vol. 267, pp. 126196-126196
Open Access | Times Cited: 5
Optimal parallelization strategies for active flow control in deep reinforcement learning-based computational fluid dynamics
Wang Jia, Hang Xu
Physics of Fluids (2024) Vol. 36, Iss. 4
Open Access | Times Cited: 4
Application of machine learning for antibiotic resistance in water and wastewater: A systematic review
Maryam Foroughi, Afrooz Arzehgar, Seyedeh Nahid Seyedhasani, et al.
Chemosphere (2024) Vol. 358, pp. 142223-142223
Closed Access | Times Cited: 4
Opportunities and challenges in the application of large artificial intelligence models in radiology
Liangrui Pan, Zhenyu Zhao, Ying Lü, et al.
Meta-Radiology (2024) Vol. 2, Iss. 2, pp. 100080-100080
Open Access | Times Cited: 4
Collaborative optimization of multi-energy multi-microgrid system: A hierarchical trust-region multi-agent reinforcement learning approach
Xuesong Xu, Kai Xu, Ziyang Zeng, et al.
Applied Energy (2024) Vol. 375, pp. 123923-123923
Closed Access | Times Cited: 4
Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
Yang Yang, Yuchao Gao, Zhe Ding, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Closed Access | Times Cited: 4
Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems
Ariadna Claudia Moreno Román, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 211-211
Open Access
Utilizing RBC system for taxation policy evaluation: An adaptive interaction framework based on deep reinforcement learning
Shuang Luo, Shunyu Liu, Tianle Cai, et al.
Expert Systems with Applications (2025), pp. 126365-126365
Closed Access
Page 1 - Next Page

Scroll to top