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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:

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

Showing 1-25 of 49 citing articles:

Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population
Grazia Cicirelli, Roberto Marani, Antonio Petitti, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3549-3549
Open Access | Times Cited: 144
Human Gait Analysis in Neurodegenerative Diseases: A Review
Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 229-242
Open Access | Times Cited: 134
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Dimple Sethi, Sourabh Bharti, Chandra Prakash
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102314-102314
Closed Access | Times Cited: 93
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms
Anirudha S. Chandrabhatla, I. Jonathan Pomeraniec, Alexander Ksendzovsky
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 78
Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease
Holger Fröhlich, Noémi Bontridder, Dijana Petrovska-Delacréta, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 43
Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease
Andrea Marcante, Roberto Di Marco, Giovanni Gentile, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 128-128
Open Access | Times Cited: 53
Gait Analysis in Neurorehabilitation: From Research to Clinical Practice
Mirjam Bonanno, Alessandro Marco De Nunzio, Angelo Quartarone, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 785-785
Open Access | Times Cited: 19
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease
Cyril Brzenczek, Quentin Klopfenstein, Tom Hähnel, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders
Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6992-6992
Open Access | Times Cited: 43
Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson’s Disease
Rana Zia Ur Rehman, Philipp Klocke, Sofia Hryniv, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5377-5377
Open Access | Times Cited: 33
Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions
Wei Huang, Wenqiang Xu, Renjie Wan, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2547-2557
Closed Access | Times Cited: 12
Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
Ieuan Clay, Nele Peerenboom, Dana E. Connors, et al.
Digital Biomarkers (2023), pp. 28-44
Open Access | Times Cited: 12
Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson’s Disease
Rana M. Khalil, Lisa Shulman, Ann L. Gruber‐Baldini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4983-4983
Open Access | Times Cited: 4
Algorithms for gait: technical and clinical validity
Lisa Alcock, M. Encarna Micó-Amigo, Tecla Bonci, et al.
Elsevier eBooks (2025), pp. 277-321
Closed Access
Modernizing the Staging of Parkinson’s Disease using Digital Health Technology (Preprint)
John Michael Templeton, Christian Poellabauer, Sandra Schneider, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63105-e63105
Open Access
Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data
Hwayoung Park, Changhong Youm, Sang‐Myung Cheon, et al.
Research Square (Research Square) (2025)
Closed Access
Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning
Rana Zia Ur Rehman, Yu Guan, Jian Qing Shi, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 18
Ursodeoxycholic acid as a novel disease-modifying treatment for Parkinson’s disease: protocol for a two-centre, randomised, double-blind, placebo-controlled trial, The 'UP' study
Thomas Payne, Matilde Sassani, Ellen Buckley, et al.
BMJ Open (2020) Vol. 10, Iss. 8, pp. e038911-e038911
Open Access | Times Cited: 27
A pathophysiological model of gait captures the details of the impairment of pace/rhythm, variability and asymmetry in Parkinsonian patients at distinct stages of the disease
Marco Godi, Ilaria Arcolin, Marica Giardini, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 22
Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson’s
Emma Packer, Héloïse Debelle, Harry G. B. Bailey, et al.
BMJ Open (2023) Vol. 13, Iss. 9, pp. e073388-e073388
Open Access | Times Cited: 8
SAGA: Stability-Aware Gait Analysis in constraint-free environments
Dimple Sethi, Deepak Kumar Sharma, Koyel Datta Gupta, et al.
Gait & Posture (2024) Vol. 113, pp. 215-223
Open Access | Times Cited: 2
Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review
Cristiana Lopes Gabriel, Ivan Miguel Pires, Paulo Jorge Coelho, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16599-e16599
Open Access | Times Cited: 6
An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review
William Tam, Mohannad Alajlani, Alaa Abd‐Alrazaq
Journal of Medical Internet Research (2023) Vol. 25, pp. e42950-e42950
Open Access | Times Cited: 6
Predicting the Progression of Parkinson’s Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning
Rana Zia Ur Rehman, Lynn Rochester, Alison J. Yarnall, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 249-252
Open Access | Times Cited: 12
A Review on Clinical Gait Analysis
Nikita Prajapati, Amandeep Kaur, Dimple Sethi
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2021), pp. 967-974
Closed Access | Times Cited: 11
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