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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:

Human-Centered Collaborative Robots With Deep Reinforcement Learning
Ali Ghadirzadeh, Xi Chen, Wenjie Yin, et al.
IEEE Robotics and Automation Letters (2020) Vol. 6, Iss. 2, pp. 566-571
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Human–robot collaboration and machine learning: A systematic review of recent research
Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
Robotics and Computer-Integrated Manufacturing (2022) Vol. 79, pp. 102432-102432
Open Access | Times Cited: 158
Vision-based holistic scene understanding towards proactive human–robot collaboration
Junming Fan, Pai Zheng, Shufei Li
Robotics and Computer-Integrated Manufacturing (2022) Vol. 75, pp. 102304-102304
Closed Access | Times Cited: 131
The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works
Alberto Borboni, Karna Vishnu Vardhana Reddy, Irraivan Elamvazuthi, et al.
Machines (2023) Vol. 11, Iss. 1, pp. 111-111
Open Access | Times Cited: 72
Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey
Silvia Proia, Raffaele Carli, Graziana Cavone, et al.
IEEE Transactions on Automation Science and Engineering (2021) Vol. 19, Iss. 3, pp. 1798-1819
Open Access | Times Cited: 94
Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms
Juan Manuel Dávila Delgado, Lukumon O. Oyedele
Advanced Engineering Informatics (2022) Vol. 54, pp. 101787-101787
Open Access | Times Cited: 40
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, et al.
(2022)
Open Access | Times Cited: 39
Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey
Tian Wang, Pai Zheng, Shufei Li, et al.
Advanced Intelligent Systems (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 29
On the Implementation of Behavior Trees in Robotics
Michele Colledanchise, Lorenzo Natale
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 5929-5936
Open Access | Times Cited: 46
Digital Twin-Driven Virtual Control Technology of Home-Use Robot: Human-Cyber-Physical System
Muhammad Usman Shoukat, Lirong Yan, Wenjiang Liu, et al.
(2022), pp. 240-246
Closed Access | Times Cited: 29
Advanced Electronic and Optoelectronic Sensors, Applications, Modelling and Industry 5.0 Perspectives
Alessandro Massaro
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4582-4582
Open Access | Times Cited: 19
Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network With Temporal Attention
Zhaowei Liu, Xilang Lu, Wenzhe Liu, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 3, pp. 2248-2255
Closed Access | Times Cited: 6
Appositeness of Optimized and Reliable Machine Learning for Healthcare: A Survey
Subhasmita Swain, Bharat Bhushan, Gaurav Dhiman, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3981-4003
Open Access | Times Cited: 26
A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing
Jiachen Yang, Meng Xi, Jiabao Wen, et al.
Digital Communications and Networks (2022) Vol. 10, Iss. 2, pp. 282-291
Open Access | Times Cited: 26
A digital twin-driven flexible scheduling method in a human–machine collaborative workshop based on hierarchical reinforcement learning
Rong Zhang, Jianhao Lv, Jinsong Bao, et al.
Flexible Services and Manufacturing Journal (2023) Vol. 35, Iss. 4, pp. 1116-1138
Open Access | Times Cited: 15
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing
Even Falkenberg Langås, Muhammad Hamza Zafar, Filippo Sanfilippo
Journal of Intelligent Manufacturing (2025)
Open Access
Asymmetric Identification Model for Human-Robot Contacts via Supervised Learning
Qasem Abu Al‐Haija, Jaafer Al Saraireh
Symmetry (2022) Vol. 14, Iss. 3, pp. 591-591
Open Access | Times Cited: 21
Deep reinforcement learning applied to an assembly sequence planning problem with user preferences
Miguel Neves, Pedro Neto
The International Journal of Advanced Manufacturing Technology (2022) Vol. 122, Iss. 11-12, pp. 4235-4245
Open Access | Times Cited: 19
A general skeleton-based action and gesture recognition framework for human–robot collaboration
Matteo Terreran, Leonardo Barcellona, Stefano Ghidoni
Robotics and Autonomous Systems (2023) Vol. 170, pp. 104523-104523
Open Access | Times Cited: 12
Benchmarking Teamwork of Humans and Cobots—An Overview of Metrics, Strategies, and Tasks
Dominik Riedelbauch, Nico Höllerich, Dominik Henrich
IEEE Access (2023) Vol. 11, pp. 43648-43674
Open Access | Times Cited: 11
A Human–Robot Collaboration Framework Based on Human Collaboration Demonstration and Robot Learning
Xiang Peng, Jingang Jiang, Zeyang Xia, et al.
Lecture notes in computer science (2025), pp. 286-299
Closed Access
CNN Training Using 3D Virtual Models for Assisted Assembly with Mixed Reality and Collaborative Robots
Kamil Židek, Ján Piteľ, Michal Balog, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4269-4269
Open Access | Times Cited: 25
AI enabled value-oriented collaborative learning: Centre for innovative education
J. Ramadevi, C. Sushama, K. Balaji, et al.
The Journal of High Technology Management Research (2023) Vol. 34, Iss. 2, pp. 100478-100478
Closed Access | Times Cited: 9
Hierarchical approximate optimal interaction control of human-centered modular robot manipulator systems: A Stackelberg differential game-based approach
Tianjiao An, Xinye Zhu, Bing Ma, et al.
Neurocomputing (2024) Vol. 585, pp. 127573-127573
Closed Access | Times Cited: 3
Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0
Mandeep Dhanda, Benedict A. Rogers, Stephanie Hall, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 93, pp. 102937-102937
Open Access | Times Cited: 3
Affordance-Based Human–Robot Interaction With Reinforcement Learning
Francisco Munguia‐Galeano, S. Veeramani, Juan David Hernández, et al.
IEEE Access (2023) Vol. 11, pp. 31282-31292
Open Access | Times Cited: 7
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