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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:

Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 11, pp. 13344-13362
Open Access | Times Cited: 285

Showing 1-25 of 285 citing articles:

Model-based Reinforcement Learning: A Survey
Thomas M. Moerland, Joost Broekens, Aske Plaat, et al.
Foundations and Trends® in Machine Learning (2023) Vol. 16, Iss. 1, pp. 1-118
Open Access | Times Cited: 304
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 201-264
Open Access | Times Cited: 71
End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey
Yingchao Wang, Chen Yang, Shulin Lan, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2647-2683
Closed Access | Times Cited: 17
Evaluation of Transfer Learning and Adaptability in Large Language Models with the GLUE Benchmark
N. Sulaiman, Farizal Hamzah
(2024)
Open Access | Times Cited: 16
Rethinking Membership Inference Attacks Against Transfer Learning
Cong Wu, Jing Chen, Qianru Fang, et al.
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 6441-6454
Closed Access | Times Cited: 14
The rise and potential of large language model based agents: a survey
Zhiheng Xi, Wen-Xiang Chen, Xin Hua Guo, et al.
Science China Information Sciences (2025) Vol. 68, Iss. 2
Closed Access | Times Cited: 3
Progress in estimating the state of health using transfer learning–based electrochemical impedance spectroscopy of lithium-ion batteries
Guangheng Qi, Guangwen Du, Kai Wang
Ionics (2025) Vol. 31, Iss. 3, pp. 2337-2349
Closed Access | Times Cited: 1
Constrained Deep Reinforcement Transfer Learning for Short-Term Forecasting of Wind Discrepancies at Ocean Stations
Jun Zhang, Yaoran Chen, Hang Pan, et al.
Neurocomputing (2025), pp. 129491-129491
Closed Access | Times Cited: 1
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi, Muhammad Usama, Junaid Qadir, et al.
IEEE Transactions on Artificial Intelligence (2021) Vol. 3, Iss. 2, pp. 90-109
Open Access | Times Cited: 95
Transfer Learning for Wireless Networks: A Comprehensive Survey
Cong T. Nguyen, Nguyễn Văn Huynh, Nam H. Chu, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 8, pp. 1073-1115
Closed Access | Times Cited: 57
Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives
Hongwen He, Xiangfei Meng, Yong Wang, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114248-114248
Closed Access | Times Cited: 36
Methods of Transfer Learning for Multiclass Hair Disease Categorization
Sheshang Degadwala, Dhairya Vyas, Pooja Mitra, et al.
(2023)
Closed Access | Times Cited: 26
Enhancing HVAC control systems through transfer learning with deep reinforcement learning agents
Kevlyn Kadamala, Des Chambers, Enda Barrett
Smart Energy (2024) Vol. 13, pp. 100131-100131
Open Access | Times Cited: 14
Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation
Zhonghua Liu, Tiansheng Wang, Fa Zhu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123673-123673
Closed Access | Times Cited: 12
Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions
Xin Li, Lei Zhang, Jingsi Yang, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 231-243
Closed Access | Times Cited: 11
A coordinated active and reactive power optimization approach for multi-microgrids connected to distribution networks with multi-actor-attention-critic deep reinforcement learning
Lei Dong, Hao Lin, Qiao Ji, et al.
Applied Energy (2024) Vol. 373, pp. 123870-123870
Closed Access | Times Cited: 10
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
Davide Coraci, Silvio Brandi, Tianzhen Hong, et al.
Building Simulation (2024) Vol. 17, Iss. 5, pp. 739-770
Open Access | Times Cited: 9
Securing Mobile Edge Computing Using Hybrid Deep Learning Method
Olusola Adeniyi, Ali Safaa Sadiq, Prashant Pillai, et al.
Computers (2024) Vol. 13, Iss. 1, pp. 25-25
Open Access | Times Cited: 8
Deep convolutional neural network for weld defect classification in radiographic images
Dayana Palma-Ramírez, Bárbara Dora Ross Veitía, Pablo Font-Ariosa, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30590-e30590
Open Access | Times Cited: 8
Offline Pre-trained Multi-agent Decision Transformer
Linghui Meng, Muning Wen, Chenyang Le, et al.
Deleted Journal (2023) Vol. 20, Iss. 2, pp. 233-248
Open Access | Times Cited: 18
A high-precision jujube disease spot detection based on SSD during the sorting process
Zhi-Ben Yin, Fuyong Liu, Hui Geng, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296314-e0296314
Open Access | Times Cited: 6
Enhancing Longitudinal Velocity Control With Attention Mechanism-Based Deep Deterministic Policy Gradient (DDPG) for Safety and Comfort
Fahmida Islam, John Ball, C. Goodin
IEEE Access (2024) Vol. 12, pp. 30765-30780
Open Access | Times Cited: 6
An assessment framework to evaluate the critical success factors to Quality 4.0 transition in developing countries: a case experience of sustainable performance of Indian manufacturers
S. K. Joshi, Manu Sharma, Sunil Luthra, et al.
The TQM Journal (2024) Vol. 36, Iss. 6, pp. 1756-1793
Closed Access | Times Cited: 5
Transfer learning-based nonstationary traffic flow prediction using AdaRNN and DCORAL
Linlin Zang, Tao Wang, Bo Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125143-125143
Closed Access | Times Cited: 5
Transfer learning in robotics: An upcoming breakthrough? A review of promises and challenges
Noémie Jaquier, Michael C. Welle, Andrej Gams, et al.
The International Journal of Robotics Research (2024)
Closed Access | Times Cited: 5
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