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:

Bilateral upper limb robot-assisted rehabilitation improves upper limb motor function in stroke patients: a study based on quantitative EEG
Congzhi Tang, Ting Zhou, Yun Zhang, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

Effectiveness of technology-based stroke interventions to improve upper limb functioning in low- and middle-income countries: a systematic review and meta-analysis
Meiling Carbajal Galarza, Nathaly Olga Chinchihualpa Paredes, Sergio Alejandro Abanto-Perez, et al.
Topics in Stroke Rehabilitation (2025), pp. 1-21
Closed Access

Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges
Soumya Ghosh, Rohit Yadav, Sunaina Soni, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access

A bilateral wrist robotic system with compliant actuation for rehabilitation training
Zhimin Hou, Yao Tong, Ke Shi, et al.
Mechanism and Machine Theory (2025) Vol. 207, pp. 105937-105937
Closed Access

Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding
Yelan Wu, Pu Gang Cao, Meng Xu, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1147-1147
Open Access

Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study
Huan Yan, Juan Li, Yujie Li, et al.
Aging Clinical and Experimental Research (2025) Vol. 37, Iss. 1
Open Access

An Efficient Deep Transfer Learning Network for Characterization of Stroke Patients’ Motor Execution from Multi-Channel EEG-Recordings
Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Frank Kulwa, et al.
(2024), pp. 1-4
Closed Access

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