Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study
Luc J. W. Evers, Yordan P. Raykov, Jesse H. Krijthe, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 10, pp. e19068-e19068
Open Access | Times Cited: 53

Showing 26-50 of 53 citing articles:

Probabilistic Modelling of Gait for Robust Passive Monitoring in Daily Life
Yordan P. Raykov, Luc J. W. Evers, Reham Badawy, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 6, pp. 2293-2304
Open Access | Times Cited: 16
Effect of Fear of Falling on Mobility Measured During Lab and Daily Activity Assessments in Parkinson’s Disease
Arash Atrsaei, Clint Hansen, Morad Elshehabi, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 15
Deep Clinical Phenotyping of Parkinson’s Disease: Towards a New Era of Research and Clinical Care
Zhiheng Xu, Bo Shen, Yilin Tang, et al.
Phenomics (2022) Vol. 2, Iss. 5, pp. 349-361
Open Access | Times Cited: 8
Gait Alterations and Association With Worsening Knee Pain and Physical Function: A Machine Learning Approach With Wearable Sensors in the Multicenter Osteoarthritis Study
Kathryn L. Bacon, David T. Felson, S. Reza Jafarzadeh, et al.
Arthritis Care & Research (2024) Vol. 76, Iss. 7, pp. 984-992
Closed Access | Times Cited: 1
Assessing the clinical utility of inertial sensors for home monitoring in Parkinson’s disease: a comprehensive review
Stefano Sapienza, Olena Tsurkalenko, Marijus Giraitis, et al.
npj Parkinson s Disease (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Convolutional neural network based detection of early stage Parkinson’s disease using the six minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge
Solveig K. Sieberts, Henryk Borzymowski, Yuanfang Guan, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 3, pp. e0000208-e0000208
Open Access | Times Cited: 4
Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
Tuhin Virmani, Lakshmi Pillai, Veronica Smith, et al.
Journal of Clinical and Translational Science (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Detection of Parkinson’s Disease Using Wrist Accelerometer Data and Passive Monitoring
Elham Rastegari, Hesham Ali, Vivien Marmelat
Sensors (2022) Vol. 22, Iss. 23, pp. 9122-9122
Open Access | Times Cited: 7
Wearable systems in movement disorders
Edoardo Bianchini, Walter Maetzler
International review of movement disorders (2023), pp. 93-113
Closed Access | Times Cited: 3
A multimodal dataset of real world mobility activities in Parkinson’s disease
Catherine Morgan, Emma Tonkin, Alessandro Masullo, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Rapid dynamic naturalistic monitoring of bradykinesia in Parkinson’s disease using a wrist-worn accelerometer
Jeroen Habets, Christian Herff, Pieter Kubben, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 8
Hands–feet wireless devices: Test–retest reliability and discriminant validity of motor measures in Parkinson's disease telemonitoring
Carlo Maremmani, Erika Rovini, Stefano Salvadori, et al.
Acta Neurologica Scandinavica (2022) Vol. 146, Iss. 3, pp. 304-317
Open Access | Times Cited: 5
Understanding how people with Parkinson's disease turn in gait from a real-world in-home dataset
Catherine Morgan, J. E. Jameson, Ian Craddock, et al.
Parkinsonism & Related Disorders (2022) Vol. 105, pp. 114-122
Open Access | Times Cited: 5
Evaluación de un sistema de sensores inerciales externos tipo Holter en pacientes con enfermedad de Parkinson en Argentina
Federico Perrote, Guillermo Zeppa, Hugo A. Coca, et al.
Neurología Argentina (2021) Vol. 13, Iss. 3, pp. 153-158
Closed Access | Times Cited: 5
Unsupervised mobility and motion assessment in neuromuscular and musculoskeletal disorders using mobile health technology
Muhammad Osama, Bruno Bonnechère, Sabah Afridi
Journal of the Pakistan Medical Association (2024) Vol. 74, Iss. 4, pp. 603-604
Open Access
A Novel Machine Learning Based Framework for Developing Composite Digital Biomarkers of Disease Progression
Song Zhai, Andy Liaw, Judong Shen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers
Carlos Polvorinos-Fernández, Luis Sigcha, Luigi Borzì, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10189-10189
Open Access
Convolutional neural network-based detection of early-stage Parkinson’s disease using the six-minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Research Square (Research Square) (2024)
Open Access
Towards Sustainable Management of Parkinson’s Disease Healthcare: Evaluating the Role and Impact of Mobile Health Devices (Preprint)
Mevludin Memedi, Blerim Emruli, Yang Cao, et al.
(2024)
Closed Access
Spatial-Temporal Analysis of Gait in Amyotrophic Lateral Sclerosis Using Foot-Worn Inertial Sensors: An Observational Study
Meghan Lukac, Hannah Luben, Anne E. Martin, et al.
Digital Biomarkers (2023) Vol. 8, Iss. 1, pp. 22-29
Open Access | Times Cited: 1
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders
Guy Bogaarts, Mattia Zanon, Frank Dondelinger, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021)
Open Access | Times Cited: 3
Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge
Solveig K. Sieberts, Henryk Borzymowski, Yuanfang Guan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2
The challenges and opportunities for remotely evaluating movement disorders
Lynn Rochester, Silvia Del Din, Joshua Shulman, et al.
International review of movement disorders (2023), pp. 153-179
Closed Access
Basic concept of sensors for movement disorders specialists
Raquel Bouça‐Machado, Linda Azevedo Kauppila, Tiago Guerreiro, et al.
International review of movement disorders (2023), pp. 71-92
Closed Access

Scroll to top