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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:

Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling
Ritesh Ramdhani, Anahita Khojandi, Oleg V. Shylo, et al.
Frontiers in Computational Neuroscience (2018) Vol. 12
Open Access | Times Cited: 58

Showing 1-25 of 58 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
Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson’s disease
Rob Powers, Maryam Etezadi‐Amoli, Edith M. Arnold, et al.
Science Translational Medicine (2021) Vol. 13, Iss. 579
Open Access | Times Cited: 161
Parkinson’s Disease Management via Wearable Sensors: A Systematic Review
Huma Mughal, Abdul Rehman Javed, Muhammad Rizwan, et al.
IEEE Access (2022) Vol. 10, pp. 35219-35237
Open Access | Times Cited: 76
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
A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis
Shriniket Dixit, Khitij Bohre, Yashbir Singh, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 783-783
Open Access | Times Cited: 47
Clinical and methodological challenges for assessing freezing of gait: Future perspectives
Martina Mancini, Bastiaan R. Bloem, Fay B. Horak, et al.
Movement Disorders (2019) Vol. 34, Iss. 6, pp. 783-790
Open Access | Times Cited: 144
Wearable Solutions for Patients with Parkinson’s Disease and Neurocognitive Disorder: A Systematic Review
Asma Channa, Nirvana Popescu, Vlad Ciobanu
Sensors (2020) Vol. 20, Iss. 9, pp. 2713-2713
Open Access | Times Cited: 97
Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity
Arash Atrsaei, Marta Francisca Corrà, Farzin Dadashi, et al.
npj Parkinson s Disease (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 62
Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review
Vasileios Skaramagkas, Anastasia Pentari, Zinovia Kefalopoulou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2399-2423
Open Access | Times Cited: 31
Technology-Enabled Care: Integrating Multidisciplinary Care in Parkinson's Disease Through Digital Technology
Raquel Luis-Martínez, Mariana H.G. Monje, Angelo Antonini, et al.
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 54
A Heterogeneous Sensing Suite for Multisymptom Quantification of Parkinson’s Disease
Weiguang Huo, Paolo Angeles, Yen Tai, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 6, pp. 1397-1406
Open Access | Times Cited: 53
Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN
Majid Nour, Ümit Şentürk, Kemal Polat
Computers in Biology and Medicine (2023) Vol. 161, pp. 107031-107031
Closed Access | Times Cited: 19
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?
Rana Zia Ur Rehman, Christopher Buckley, M. Encarna Micó-Amigo, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2020) Vol. 1, pp. 65-73
Open Access | Times Cited: 49
Classification, Prediction, and Monitoring of Parkinson’s disease using Computer Assisted Technologies: A Comparative Analysis
Jinee Goyal, Padmavati Khandnor, Trilok Chand Aseri
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103955-103955
Closed Access | Times Cited: 42
The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration
Lorna Kenny, Kevin Moore, Clíona O' Riordan, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 1, pp. e27418-e27418
Open Access | Times Cited: 25
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 14
Machine Learning Models for Parkinson Disease: Systematic Review
Thasina Tabashum, R. Snyder, Megan K. O’Brien, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e50117-e50117
Open Access | Times Cited: 5
Testing Machine Learning Algorithms to Evaluate Fluctuating and Cognitive Profiles in Parkinson’s Disease by Motion Sensors and EEG Data
Giovanni Mostile, Salvatore Quattropani, Federico Contrafatto, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 778-784
Open Access
Ensemble deep model for continuous estimation of Unified Parkinson’s Disease Rating Scale III
Murtadha D. Hssayeni, Joohi Jimenez‐Shahed, Michelle A. Burack, et al.
BioMedical Engineering OnLine (2021) Vol. 20, Iss. 1
Open Access | Times Cited: 30
Digital health in neurology: Advancements, applications, and impact
Mohamed Taha, Sachin Kedar
Elsevier eBooks (2025), pp. 217-229
Closed Access
Uncertainty and sensitivity analyses of co-combustion/pyrolysis of textile dyeing sludge and incense sticks: Regression and machine-learning models
Shaoting Wen, Musa Büyükada, Fatih Evrendilek, et al.
Renewable Energy (2019) Vol. 151, pp. 463-474
Closed Access | Times Cited: 34
Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review
Jeremy Watts, Anahita Khojandi, Oleg V. Shylo, et al.
Brain Sciences (2020) Vol. 10, Iss. 11, pp. 809-809
Open Access | Times Cited: 31
Quantification of Daily-Living Gait Quantity and Quality Using a Wrist-Worn Accelerometer in Huntington's Disease
Karin Keren, Monica Busse, Nora E. Fritz, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 24
Video-Based Quantification of Gait Impairments in Parkinson’s Disease Using Skeleton-Silhouette Fusion Convolution Network
Qingyi Zeng, Peipei Liu, Ningbo Yu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2912-2922
Open Access | Times Cited: 10
Robotic technology for Parkinson's disease: Needs, attitudes and concerns of individuals with Parkinson's disease and their family members. A focus group study
Azriel Kaplan, Shirel Barkan-Slater, Yair Zlotnik, et al.
International Journal of Human-Computer Studies (2023) Vol. 181, pp. 103148-103148
Open Access | Times Cited: 10
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