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 51-75 of 285 citing articles:

NtNDet: Hardware Trojan detection based on pre-trained language models
Shijie Kuang, Zhe Quan, Guoqi Xie, et al.
Expert Systems with Applications (2025), pp. 126666-126666
Closed Access

SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe
Joris Depoortere, Johan Driesen, Johan A. K. Suykens, et al.
International Journal of Forecasting (2025)
Closed Access

Curriculum Reinforcement Learning for Tokamak Control
Samy Kerboua-Benlarbi, R. Nouailletas, Blaise Faugeras, et al.
Lecture notes in computer science (2025), pp. 39-56
Closed Access

A Deep Reinforcement Learning Method with Adaptive Heuristic Function Improvement for Mobile Robot Navigation in Substation Environment
Feng Jian, En Li, Lirong Xie, et al.
Communications in computer and information science (2025), pp. 261-271
Closed Access

JaunENet: An effective non-invasive detection of multi-class jaundice deep learning method with limited labeled data
Yuanting Ma, Yu Meng, Xiaojun Li, et al.
Applied Soft Computing (2025), pp. 112878-112878
Closed Access

A question-centric review on DRL-based optimization for UAV-assisted MEC sensor and IoT applications, challenges, and future directions
Oluwatosin Ahmed Amodu, Raja Azlina Raja Mahmood, Huda Althumali, et al.
Vehicular Communications (2025), pp. 100899-100899
Closed Access

Sicgan-Driven Sim-to-Real Transfer: Zero-Shot Deployment on Robotic Manipulators Through Visual Deception
Lucía Güitta-López, Lionel Güitta-López, Jaime Boal Martín-Larrauri, et al.
(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

A Survey of Curriculum Learning in Deep Reinforcement Learning
Siyu Lin, Qingwei Mi, Tianhan Gao
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2025), pp. 01141-01147
Closed Access

Artificial intelligence-driven security framework for internet of things-enhanced digital twin networks
Samuel D. Okegbile, Ishaya Gambo
Internet of Things (2025), pp. 101564-101564
Closed Access

A novel deep transfer learning method based on explainable feature extraction and domain reconstruction
Li Wang, Lucong Zhang, Ling Feng, et al.
Neural Networks (2025), pp. 107401-107401
Closed Access

Uncertainty weighted policy optimization based on Bayesian approximation
Tianyi Li, Tianyi Li, Jian Chu
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access

Towards Efficient Job Scheduling for Cumulative Data Processing in Multi-Cloud Environments
Yi Liang, G. F. Xu, Haotian Shen, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1332-1332
Open Access

A Modular Transferable Network for Visual Navigation in Unstructured Environments
Nanxi Chen, Jefferson Zhe Liu, Tangwen Yin
Lecture notes in electrical engineering (2025), pp. 496-505
Closed Access

Safe and Accelerated Deep Reinforcement Learning-Based O-RAN Slicing: A Hybrid Transfer Learning Approach
Ahmad M. Nagib, Hatem Abou‐zeid, Hossam S. Hassanein
IEEE Journal on Selected Areas in Communications (2023) Vol. 42, Iss. 2, pp. 310-325
Open Access | Times Cited: 10

Environmental Prediction Model of Solar Greenhouse Based on Improved Harris Hawks Optimization-CatBoost
Jie Yang, Guihong Ren, Yaxin Wang, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 2021-2021
Open Access | Times Cited: 3

Anti-Jamming Radar Waveform Design for Repeater Jammer using Reinforcement Learning
Muhammmad Majid Aziz, Aamir Habib, Abdur Rahman Maud, et al.
Vehicular Communications (2024) Vol. 47, pp. 100768-100768
Closed Access | Times Cited: 3

Mutitask Learning Network for Partial Discharge Condition Assessment in Gas-Insulated Switchgear
Yanxin Wang, Jing Yan, Wenjie Zhang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11998-12009
Closed Access | Times Cited: 3

Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
Mohamed Massaoudi, Haitham Abu‐Rub, Ali Ghrayeb
IEEE Access (2023) Vol. 11, pp. 134298-134317
Open Access | Times Cited: 9

Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points
Z. Q. Liu, Jie Lü, Junyu Xuan, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5191-5204
Closed Access | Times Cited: 3

Resource Management From Single-Domain 5G to End-to-End 6G Network Slicing: A Survey
Sina Ebrahimi, Faouzi Bouali, Olivier Haas
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2836-2866
Closed Access | Times Cited: 3

Transfer Learning-Based Specific Emitter Identification for ADS-B over Satellite System
Mingqian Liu, Yae Chai, Ming Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2068-2068
Open Access | Times Cited: 3

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