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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:

Wearable sensors objectively measure gait parameters in Parkinson’s disease
Johannes C. M. Schlachetzki, Jens Barth, Franz Marxreiter, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0183989-e0183989
Open Access | Times Cited: 290

Showing 1-25 of 290 citing articles:

Wearables and the Medical Revolution
Jessilyn Dunn, Ryan Runge, M Snyder
Personalized Medicine (2018) Vol. 15, Iss. 5, pp. 429-448
Open Access | Times Cited: 502
Teleneurology and mobile technologies: the future of neurological care
E. Ray Dorsey, Alistair M. Glidden, Melissa R. Holloway, et al.
Nature Reviews Neurology (2018) Vol. 14, Iss. 5, pp. 285-297
Closed Access | Times Cited: 223
Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances
Franchino Porciuncula, Anna V. Roto Cataldo, Deepak Kumar, et al.
PM&R (2018) Vol. 10, Iss. 9S2
Open Access | Times Cited: 212
Gait Analysis in Parkinson’s Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring
Lazzaro di Biase, Alessandro Di Santo, Maria Letizia Caminiti, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3529-3529
Open Access | Times Cited: 163
Assessing Gait in Parkinson’s Disease Using Wearable Motion Sensors: A Systematic Review
Lorenzo Brognara, Pierpaolo Palumbo, Bernd Grimm, et al.
Diseases (2019) Vol. 7, Iss. 1, pp. 18-18
Open Access | Times Cited: 148
Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis
Ann‐Kathrin Schalkamp, Kathryn J. Peall, Neil A. Harrison, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 2048-2056
Open Access | Times Cited: 77
Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case–Control Study
Lianne Koinis, Vinuja Fernando, R. Dineth Fonseka, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 581-581
Open Access | Times Cited: 1
Probiotics for Parkinson’s Disease
Parisa Gazerani
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 17, pp. 4121-4121
Open Access | Times Cited: 127
Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124
Self-healable sticky porous elastomer for gas-solid interacted power generation
Jiaqing Xiong, Gurunathan Thangavel, Jiangxin Wang, et al.
Science Advances (2020) Vol. 6, Iss. 29
Open Access | Times Cited: 116
Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis
Steven Díaz, J. Stephenson, Miguel A. Labrador
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 234-234
Open Access | Times Cited: 103
α-Synuclein in Parkinson’s disease: causal or bystander?
Peter Riederer, Daniela Berg, Nicolas Casadei, et al.
Journal of Neural Transmission (2019) Vol. 126, Iss. 7, pp. 815-840
Closed Access | Times Cited: 97
Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment
Catherine Morgan, Michal Rolinski, Róisín McNaney, et al.
Journal of Parkinson s Disease (2020) Vol. 10, Iss. 2, pp. 429-454
Open Access | Times Cited: 86
Wearable Sensing Devices for Point of Care Diagnostics
Subrata Mondal, Nehal Zehra, Anwesha Choudhury, et al.
ACS Applied Bio Materials (2020) Vol. 4, Iss. 1, pp. 47-70
Closed Access | Times Cited: 78
Biofeedback for Post-stroke Gait Retraining: A Review of Current Evidence and Future Research Directions in the Context of Emerging Technologies
Jacob Spencer, Steven L. Wolf, Trisha M. Kesar
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 58
Wearable Devices for Gait Analysis in Intelligent Healthcare
Xin Liu, Chen Zhao, Bin Zheng, et al.
Frontiers in Computer Science (2021) Vol. 3
Open Access | Times Cited: 58
Contactless tracking of humans using non-contact triboelectric sensing technology: Enabling new assistive applications for the elderly and the visually impaired
David Vera Anaya, Ke Zhan, Li Tao, et al.
Nano Energy (2021) Vol. 90, pp. 106486-106486
Closed Access | Times Cited: 58
Recent Advances in Wearable Optical Sensor Automation Powered by Battery versus Skin-like Battery-Free Devices for Personal Healthcare—A Review
Nikolay L. Kazanskiy, Muhammad Ali Butt, Svetlana N. Khonina
Nanomaterials (2022) Vol. 12, Iss. 3, pp. 334-334
Open Access | Times Cited: 49
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: 42
Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems
Verônica Cimolin, Luca Vismara, Claudia Ferraris, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 824-824
Open Access | Times Cited: 37
Transfer Learning for Human Activity Recognition Using Representational Analysis of Neural Networks
Sizhe An, Ganapati Bhat, Suat Gümüşsoy, et al.
ACM Transactions on Computing for Healthcare (2023) Vol. 4, Iss. 1, pp. 1-21
Open Access | Times Cited: 36
Levodopa-Induced Dyskinesias in Parkinson’s Disease: An Overview on Pathophysiology, Clinical Manifestations, Therapy Management Strategies and Future Directions
Lazzaro di Biase, Pasquale Maria Pecoraro, Simona Paola Carbone, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 13, pp. 4427-4427
Open Access | Times Cited: 24
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
Felix Kluge, Yonatan E Brand, M. Encarna Micó-Amigo, et al.
JMIR Formative Research (2024) Vol. 8, pp. e50035-e50035
Open Access | Times Cited: 12
Characterization of Walking in Mild Parkinson’s Disease: Reliability, Validity and Discriminant Ability of the Six-Minute Walk Test Instrumented with a Single Inertial Sensor
Gaia Bailo, Francesca Lea Saibene, Virginia Bandini, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 662-662
Open Access | Times Cited: 11
The Luxembourg Parkinson’s Study: A Comprehensive Approach for Stratification and Early Diagnosis
Géraldine Hipp, Michel Vaillant, Nico J. Diederich, et al.
Frontiers in Aging Neuroscience (2018) Vol. 10
Open Access | Times Cited: 81
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