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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:

Assessment of response to medication in individuals with Parkinson’s disease
Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez‐Shahed, et al.
Medical Engineering & Physics (2019) Vol. 67, pp. 33-43
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Sezen Vatansever, Avner Schlessinger, Daniel Wacker, et al.
Medicinal Research Reviews (2020) Vol. 41, Iss. 3, pp. 1427-1473
Open Access | Times Cited: 260
Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements
Murtadha D. Hssayeni, Joohi Jimenez‐Shahed, Michelle A. Burack, et al.
Sensors (2019) Vol. 19, Iss. 19, pp. 4215-4215
Open Access | Times Cited: 95
Artificial intelligence in Parkinson's disease: Early detection and diagnostic advancements
Aananya Reddy, Ruhananhad P. Reddy, Aryan Kia Roghani, et al.
Ageing Research Reviews (2024) Vol. 99, pp. 102410-102410
Closed Access | Times Cited: 10
Drug repositioning for Parkinson’s disease: an emphasis on artificial intelligence approaches
Iman Karimi-Sani, Mehrdad Sharifi, Nahid Abolpour, et al.
Ageing Research Reviews (2025) Vol. 104, pp. 102651-102651
Closed Access | Times Cited: 1
A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals
Satyabrata Aich, Jinyoung Youn, Sabyasachi Chakraborty, et al.
Diagnostics (2020) Vol. 10, Iss. 6, pp. 421-421
Open Access | Times Cited: 52
Digital Technology in Movement Disorders: Updates, Applications, and Challenges
Jamie Adams, Karlo J. Lizárraga, Emma Waddell, et al.
Current Neurology and Neuroscience Reports (2021) Vol. 21, Iss. 4
Open Access | Times Cited: 45
Veterinary informatics: forging the future between veterinary medicine, human medicine, and One Health initiatives—a joint paper by the Association for Veterinary Informatics (AVI) and the CTSA One Health Alliance (COHA)
Jonathan Lyle Lustgarten, Ashley Zehnder, L. Wayde Shipman, et al.
JAMIA Open (2020) Vol. 3, Iss. 2, pp. 306-317
Open Access | Times Cited: 39
Systematic Review on Machine-Learning Algorithms Used in Wearable-Based eHealth Data Analysis
Aditi Site, Jari Nurmi, Elena Simona Lohan
IEEE Access (2021) Vol. 9, pp. 112221-112235
Open Access | Times Cited: 36
Cloud-Connected Bracelet for Continuous Monitoring of Parkinson’s Disease Patients: Integrating Advanced Wearable Technologies and Machine Learning
Asma Channa, Giuseppe Ruggeri, Rareș-Cristian Ifrim, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1002-1002
Open Access | Times Cited: 5
Wearable Technology to Detect Motor Fluctuations in Parkinson’s Disease Patients: Current State and Challenges
Mercedes Barrachina, Ana M. Maitín, Carmen Sánchez Ávila, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4188-4188
Open Access | Times Cited: 32
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
Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson’s Disease
Francesco Castelli Gattinara Di Zubiena, Greta Menna, Ilaria Mileti, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9903-9903
Open Access | Times Cited: 19
Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review
Christine C. Guo, Patrizia A. Chiesa, Carl de Moor, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 11, pp. e37683-e37683
Open Access | Times Cited: 16
The role of wrist-worn technology in the management of Parkinson’s disease in daily life: A narrative review
Peng Li, Richard van Wezel, Fei He, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 8
Enhanced Parkinson’s Disease Tremor Severity Classification by Combining Signal Processing with Resampling Techniques
Ghayth AlMahadin, Ahmad Lotfi, Marie Mc Carthy, et al.
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 18
Body-Worn Sensors for Parkinson’s disease: A qualitative approach with patients and healthcare professionals
Clara Virbel-Fleischman, Yann Rétory, Sébastien Hardy, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0265438-e0265438
Open Access | Times Cited: 13
Identifying Pertinent Digital Health Topics to Incorporate into Self-Care Pharmacy Education
Jason C. Wong, Luiza Hekimyan, Francheska Anne Cruz, et al.
Pharmacy (2024) Vol. 12, Iss. 3, pp. 96-96
Open Access | Times Cited: 2
Wearable-Based Parkinson’s Disease Severity Monitoring Using Deep Learning
Jann Goschenhofer, Franz Pfister, Kamer Ali Yüksel, et al.
Lecture notes in computer science (2020), pp. 400-415
Closed Access | Times Cited: 19
Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson’s Disease
Marta Francisca Corrà, Arash Atrsaei, Ana Sardoreira, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 3974-3974
Open Access | Times Cited: 16
Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects
Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle M. Bruack, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 5, pp. 1284-1295
Open Access | Times Cited: 19
An SBM-based machine learning model for identifying mild cognitive impairment in patients with Parkinson's disease
Jiahui Zhang, You Li, Yuyuan Gao, et al.
Journal of the Neurological Sciences (2020) Vol. 418, pp. 117077-117077
Closed Access | Times Cited: 16
Predicting Wearing-Off of Parkinson’s Disease Patients Using a Wrist-Worn Fitness Tracker and a Smartphone: A Case Study
John Noel Victorino, Yuko Shibata, Sozo Inoue, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7354-7354
Open Access | Times Cited: 11
Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease
Mustafa Shuqair, Joohi Jimenez‐Shahed, Behnaz Ghoraani
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6168-6179
Closed Access | Times Cited: 1
Identification and Characterization of Short-Term Motor Patterns in Rest Tremor of Individuals with Parkinson’s Disease
Amanda Gomes Rabelo, João Paulo Folador, Ariana Moura Cabral, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2536-2536
Open Access | Times Cited: 6
Artificial intelligence in Parkinson’s disease—symptoms identification and monitoring
Lazzaro di Biase, Luigi Raiano, Maria Letizia Caminiti, et al.
Elsevier eBooks (2022), pp. 35-52
Closed Access | Times Cited: 4
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