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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:

eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients
Marialuisa Gandolfi, Ilaria Boscolo Galazzo, R. Pavan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 263-273
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

On the failings of Shapley values for explainability
Xuanxiang Huang, João Marques‐Silva
International Journal of Approximate Reasoning (2024) Vol. 171, pp. 109112-109112
Closed Access | Times Cited: 32
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 30
Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders
Andrea Calderone, Dèsiréè Latella, Mirjam Bonanno, et al.
Biomedicines (2024) Vol. 12, Iss. 10, pp. 2415-2415
Open Access | Times Cited: 20
The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review
David B. Olawade, Sheila Marinze, Nabeel Qureshi, et al.
Current Research in Translational Medicine (2025) Vol. 73, Iss. 2, pp. 103493-103493
Open Access | Times Cited: 3
Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities
T. Bradley Willingham, Julie Stowell, George Collier, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 1, pp. 79-79
Open Access | Times Cited: 10
AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
Isuru Senadheera, Prasad Hettiarachchi, Brendon S. Haslam, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6585-6585
Open Access | Times Cited: 9
Explainable AI-driven decision support system for personalizing rehabilitation routines in stroke recovery
Susana Vázquez Martínez, David Vallejo, Vanesa Herrera, et al.
Progress in Artificial Intelligence (2025)
Closed Access | Times Cited: 1
Explainable AI (XAI): Explained
G. Pradeep Reddy, Y. V. Pavan Kumar
(2023), pp. 1-6
Closed Access | Times Cited: 18
Feature engineering of EEG applied to mental disorders: a systematic mapping study
Sandra García-Ponsoda, Jorge García-Carrasco, Miguel A. Teruel, et al.
Applied Intelligence (2023) Vol. 53, Iss. 20, pp. 23203-23243
Open Access | Times Cited: 13
Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches
Pei-Hua Lin, Ping‐Huan Kuo, Kuan-Lin Chen
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2745-2758
Closed Access | Times Cited: 5
Applicability of artificial intelligence in neuropsychological rehabilitation of patients with brain injury
Veselin Medenica, Lidija Ivanović, Neda Milošević
Applied Neuropsychology Adult (2024), pp. 1-28
Closed Access | Times Cited: 5
XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease
Lorenza Brusini, Federica Cruciani, G Dallaglio, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 12, pp. 569-579
Open Access | Times Cited: 5
Explainable AI in human motion: A comprehensive approach to analysis, modeling, and generation
Brenda Elizabeth Olivas-Padilla, Sotiris Manitsaris, Alina Glushkova
Pattern Recognition (2024) Vol. 151, pp. 110418-110418
Open Access | Times Cited: 4
Gamified devices for stroke rehabilitation: A systematic review
Juan J. Sánchez-Gil, Aurora Sáez-Manzano, Rafael López-Luque, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 258, pp. 108476-108476
Closed Access | Times Cited: 4
Exploring Stroke Factors Using Approximate Inverse Model Explanations (AIME): A Method for Extracting Relevant Factors from a Stroke Dataset
Takafumi Nakanishi
Smart innovation, systems and technologies (2025), pp. 157-167
Closed Access
An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients
Utpal Chandra Das, Ngoc Thien Le, Timporn Vitoonpong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine learning in predicting outcomes for stroke patients following rehabilitation treatment: A systematic review
Wanting Zu, Xuemiao Huang, Tianxin Xu, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0287308-e0287308
Open Access | Times Cited: 9
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects
Soheyla Amirian, Luke Carlson, Matthew F. Gong, et al.
(2023), pp. 1374-1380
Open Access | Times Cited: 8
Enhancing Schizophrenia Prediction Using Class Balancing and SHAP Explainability Techniques on EEG Data
J. Arias, César A. Astudillo
(2023), pp. 1-5
Closed Access | Times Cited: 4
Machine learning-based risk prediction of hypoxemia for outpatients undergoing sedation colonoscopy: a practical clinical tool
Wei Lu, Yulan Tong, X. Zhao, et al.
Postgraduate Medicine (2024) Vol. 136, Iss. 1, pp. 84-94
Closed Access | Times Cited: 1
An AI-Based Remote Rehabilitation System to Promote Access to Physical Rehabilitation
Cristian Gmez-Portes, Susana Vázquez Martínez, Santiago Schez-Sobrino, et al.
(2024), pp. 11-25
Closed Access | Times Cited: 1
Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study
Xiaolei Lu, Chenye Qiao, Hujun Wang, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7258-7258
Open Access | Times Cited: 1
Stroke Classification With Microwave Signals Using Explainable Wavelet Convolutional Neural Network
Sazid Hasan, Ali Zamani, Aida Brankovic, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 10, pp. 5667-5675
Closed Access | Times Cited: 3
A comprehensive evaluation of explainable Artificial Intelligence techniques in stroke diagnosis: A systematic review
Daraje Kaba Gurmessa, Worku Jimma
Cogent Engineering (2023) Vol. 10, Iss. 2
Open Access | Times Cited: 3
A Decision Support System to Provide an Ongoing Prediction of Robot-Assisted Rehabilitation Outcome in Stroke Survivors
Cristian Camardella, Marco Germanotta, Irene Aprile, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
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