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:

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

Showing 18 citing articles:

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
M. Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 52

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
Cameron Kirk, Arne Küderle, M. Encarna Micó-Amigo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15

A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao, et al.
Neurocomputing (2025), pp. 129533-129533
Closed Access

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: 11

Laboratory and free-living gait performance in adults with COPD and healthy controls
Joren Buekers, Dimitrios Megaritis, Sarah Koch, et al.
ERJ Open Research (2023) Vol. 9, Iss. 5, pp. 00159-2023
Open Access | Times Cited: 9

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
M. Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 11

Gait and turning characteristics from daily life increase ability to predict future falls in people with Parkinson's disease
Vrutangkumar V. Shah, Adam E. Jagodinsky, James McNames, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 6

Cognition and Activity of Daily Living Function in people with Parkinson’s disease
Merle Bode, Elke Kalbe, Inga Liepelt‐Scarfone
Journal of Neural Transmission (2024) Vol. 131, Iss. 10, pp. 1159-1186
Open Access | Times Cited: 1

Complexities and challenges of translating intervention success to real world gait in people with Parkinson’s disease
Charlotte Lang, Jaap H. van Dieën, Matthew A. Brodie, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1

Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review
Daniele Bibbo, Cristiano De Marchis, Maurizio Schmid, et al.
Physiological Measurement (2023) Vol. 44, Iss. 12, pp. 12TR01-12TR01
Open Access | Times Cited: 3

Detecting Parkinson's Disease with Prediction: A Novel SVM Approach
Krutthika Hirebasur Krishnappa, R Shashidhar, M P Shashank, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 3

Real-world gait and turning in individuals scheduled for total knee arthroplasty
R.J. Boekesteijn, Noël Keijsers, Koen C. Defoort, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

Novel analytics in the management of movement disorders
Rana Zia Ur Rehman, Silvia Del Din
Elsevier eBooks (2024), pp. 67-88
Closed Access

Real-world gait and turning in individuals scheduled for total knee arthroplasty
R.J. Boekesteijn, Noël Keijsers, Koen C. Defoort, et al.
Clinical Biomechanics (2024) Vol. 119, pp. 106332-106332
Open Access

Complexities and Challenges of Translating Intervention Success to Real World Gait in People with Parkinson's Disease
Charlotte Lang, Jaap H. van Dieën, Matthew A. Brodie, et al.
(2024)
Closed Access

Personalised Gait Recognition for People with Neurological Conditions
Leon Ingelse, Diogo Branco, Hristijan Gjoreski, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 3980-3980
Open Access | Times Cited: 2

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