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 review on reinforcement learning for contact-rich robotic manipulation tasks
Íñigo Elguea-Aguinaco, A. Serrano-Muñoz, Dimitrios Chrysostomou, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102517-102517
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
Dong Han, Beni Mulyana, Vladimir Stanković, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3762-3762
Open Access | Times Cited: 85

Developments in Image Processing Using Deep Learning and Reinforcement Learning
Jorge Valente, João António, Carlos León de Mora, et al.
Journal of Imaging (2023) Vol. 9, Iss. 10, pp. 207-207
Open Access | Times Cited: 42

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

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

Enhancing image steganalysis via integrated reinforcement learning and dilated convolution techniques
Yuan Sun
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 1-16
Closed Access | Times Cited: 9

Integration of Deep Reinforcement Learning with Collaborative Filtering for Movie Recommendation Systems
Sony Peng, Sophort Siet, Sadriddinov Ilkhomjon, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1155-1155
Open Access | Times Cited: 6

Digital twin-enabled grasp outcomes assessment for unknown objects using visual-tactile fusion perception
Zhuangzhuang Zhang, Zhinan Zhang, Lihui Wang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 84, pp. 102601-102601
Closed Access | Times Cited: 13

Multimodality Driven Impedance-Based Sim2Real Transfer Learning for Robotic Multiple Peg-in-Hole Assembly
Wenkai Chen, Chao Zeng, Hongzhuo Liang, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2784-2797
Closed Access | Times Cited: 13

Elevating Mobile Robotics: Pioneering Applications of Artificial Intelligence and Machine Learning
Haider Sahib Nasrallah, Ivan V. Stepanyan, Karrar Sahib Nassrullah, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 351-363
Open Access | Times Cited: 5

When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors From the Signal Processing Perspective
Shoujie Li, Zihan Wang, Changsheng Wu, et al.
IEEE Journal of Selected Topics in Signal Processing (2024) Vol. 18, Iss. 3, pp. 267-287
Open Access | Times Cited: 4

Multi-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates
João Neto, Abhishek Singh Dahiya, Ravinder Dahiya
Nano Convergence (2025) Vol. 12, Iss. 1
Open Access

Adaptive process parameters decision-making in robotic grinding based on meta-reinforcement learning
Jie Pan, Fan Chen, Dan Han, et al.
Journal of Manufacturing Processes (2025) Vol. 137, pp. 376-396
Closed Access

A conceptual approach to material detection based on damping vibration-force signals via robot
Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, et al.
Frontiers in Neurorobotics (2025) Vol. 19
Open Access

Conditional variational auto encoder based dynamic motion for multitask imitation learning
Binzhao Xu, Muhayy Ud Din, Irfan Hussain
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Effective hybrid force/position control of robots using reinforcement learning
Mahsa Kashani, Maryam Malekzadeh, Alireza Ariaei
International Journal of Systems Science (2025), pp. 1-20
Closed Access

Tactile data generation and applications based on visuo-tactile sensors: A review
Yuhao Sun, Ning Cheng, Shixin Zhang, et al.
Information Fusion (2025), pp. 103162-103162
Closed Access

From data extraction to data-driven dynamic modeling for cobots: A method using multi-objective optimization
Diego Navarro-Cabrera, Juan H. García-Guzmán, N.C. Cruz, et al.
Robotics and Autonomous Systems (2025), pp. 105006-105006
Closed Access

Simulated Autonomous Driving Using Reinforcement Learning: A Comparative Study on Unity’s ML-Agents Framework
Yusef Savid, Reza Mahmoudi, Rytis Maskeliūnas, et al.
Information (2023) Vol. 14, Iss. 5, pp. 290-290
Open Access | Times Cited: 9

A self-adaptive agent for flexible posture planning in robotic milling system
Shengqiang Zhao, Fangyu Peng, Juntong Su, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 228-245
Closed Access | Times Cited: 3

A residual reinforcement learning method for robotic assembly using visual and force information
Zhuangzhuang Zhang, Yizhao Wang, Zhinan Zhang, et al.
Journal of Manufacturing Systems (2023) Vol. 72, pp. 245-262
Closed Access | Times Cited: 8

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