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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:

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease
Domenico Buongiorno, Ilaria Bortone, Giacomo Donato Cascarano, et al.
BMC Medical Informatics and Decision Making (2019) Vol. 19, Iss. S9
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
Jie Mei, Christian Desrosiers, Johannes Frasnelli
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 268
Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
Κωνσταντίνα-Μαρία Γιαννακοπούλου, Ioanna Roussaki, Konstantinos Demestichas
Sensors (2022) Vol. 22, Iss. 5, pp. 1799-1799
Open Access | Times Cited: 69
Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review
Abdul Saboor, Triin Kask, Alar Kuusik, et al.
IEEE Access (2020) Vol. 8, pp. 167830-167864
Open Access | Times Cited: 92
Assessing inertial measurement unit locations for freezing of gait detection and patient preference
Johanna O’Day, Marissa Lee, Kirsten Seagers, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 48
Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters
Marta Isabel A.S.N Ferreira, Fábio Augusto Barbieri, Vinícius Christianini Moreno, et al.
Gait & Posture (2022) Vol. 98, pp. 49-55
Open Access | Times Cited: 45
Vision-Based Finger Tapping Test in Patients With Parkinson’s Disease via Spatial-Temporal 3D Hand Pose Estimation
Zhilin Guo, Weiqi Zeng, Taidong Yu, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3848-3859
Closed Access | Times Cited: 39
Developing System-based Voice Features for Detecting Parkinson’s Disease Using Machine Learning Algorithms
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani, Deepika Koundal
Deleted Journal (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 6
An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters
Tiwana Varrecchia, Stefano Filippo Castiglia, Alberto Ranavolo, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0244396-e0244396
Open Access | Times Cited: 40
Arm-swing kinematics in Parkinson's disease: A systematic review and meta-analysis
Víctor Navarro‐López, Diego Fernández‐Vázquez, Francisco Molina‐Rueda, et al.
Gait & Posture (2022) Vol. 98, pp. 85-95
Open Access | Times Cited: 25
Kinect-Based Assessment of Lower Limbs during Gait in Post-Stroke Hemiplegic Patients: A Narrative Review
Serena Cerfoglio, Claudia Ferraris, Luca Vismara, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4910-4910
Open Access | Times Cited: 24
Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping
Javier Amo-Salas, Alicia Olivares‐Gil, Álvaro García‐Bustillo, et al.
Healthcare (2024) Vol. 12, Iss. 4, pp. 439-439
Open Access | Times Cited: 5
Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review
Lazzaro di Biase, Pasquale Maria Pecoraro, Giovanni Pecoraro, et al.
Journal of Neurology (2024) Vol. 271, Iss. 10, pp. 6452-6470
Closed Access | Times Cited: 5
A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors
Lucia Palazzo, Vladimiro Suglia, Sabrina Grieco, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 260-260
Open Access
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao, et al.
Neurocomputing (2025), pp. 129533-129533
Closed Access
Automated and accurate assessment for postural abnormalities in patients with Parkinson’s disease based on Kinect and machine learning
Zhuoyu Zhang, Ronghua Hong, Ao Lin, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 27
iTex Gloves: Design and In-Home Evaluation of an E-Textile Glove System for Tele-Assessment of Parkinson’s Disease
Vignesh Ravichandran, Shehjar Sadhu, Daniel Convey, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2877-2877
Open Access | Times Cited: 11
AI-Driven Motor and Cognitive Decline Digital Assessment for Parkinson's Disease: A Systematic Review and Meta-Analysis
Sofia B. Dias, Ghada Alhussein, Beatriz da Costa Aguiar Alves, et al.
(2025)
Closed Access
The performance of various machine learning methods for Parkinson’s disease recognition: a systematic review
Nader Salari, Mohsen Kazeminia, Hesam Sagha, et al.
Current Psychology (2022) Vol. 42, Iss. 20, pp. 16637-16660
Closed Access | Times Cited: 17
Diagnostic value of a vision-based intelligent gait analyzer in screening for gait abnormalities
Yanmin Tang, Yanhong Wang, Xinyu Feng, et al.
Gait & Posture (2021) Vol. 91, pp. 205-211
Closed Access | Times Cited: 21
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
Open Access | Times Cited: 15
Evaluation for Parkinsonian Bradykinesia by deep learning modeling of kinematic parameters
Dong Jun Park, Jun Woo Lee, Myung Jun Lee, et al.
Journal of Neural Transmission (2021) Vol. 128, Iss. 2, pp. 181-189
Closed Access | Times Cited: 18
A vision‐based clinical analysis for classification of knee osteoarthritis, Parkinson's disease and normal gait with severity based on k‐nearest neighbour
Navleen Kour, Sunanda Gupta, Sakshi Arora
Expert Systems (2022) Vol. 39, Iss. 6
Closed Access | Times Cited: 13
Vision-Based Gait Analysis for Neurodegenerative Disorders Detection
Vincent Wei Sheng Tan, Wei Xiang Ooi, Yi Fan Chan, et al.
Journal of Informatics and Web Engineering (2024) Vol. 3, Iss. 1, pp. 136-154
Open Access | Times Cited: 2
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Sheerin Zadoo, Yashwant Singh, Pradeep Kumar Singh
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease
Beatriz Muñoz, Daniela Álvarez-García, Hugo Juan Camilo Clavijo-Moran, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 12
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