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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:

The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control
Christopher Buckley, Lisa Alcock, Ríona Mc Ardle, et al.
Brain Sciences (2019) Vol. 9, Iss. 2, pp. 34-34
Open Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

Applications and limitations of current markerless motion capture methods for clinical gait biomechanics
Logan Wade, Laurie Needham, Polly McGuigan, et al.
PeerJ (2022) Vol. 10, pp. e12995-e12995
Open Access | Times Cited: 172
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
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions
Renjie Li, Xinyi Wang, Katherine Lawler, et al.
Journal of Biomedical Informatics (2022) Vol. 127, pp. 104030-104030
Open Access | Times Cited: 80
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach
Rana Zia Ur Rehman, Silvia Del Din, Yu Guan, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 117
A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach
Lynn Rochester, Claudia Mazzà, Arne Mueller, et al.
Digital Biomarkers (2020) Vol. 4, Iss. Suppl. 1, pp. 13-27
Open Access | Times Cited: 104
Differentiating dementia disease subtypes with gait analysis: feasibility of wearable sensors?
Ríona Mc Ardle, Silvia Del Din, Brook Galna, et al.
Gait & Posture (2019) Vol. 76, pp. 372-376
Closed Access | Times Cited: 92
Real-life gait assessment in degenerative cerebellar ataxia
Winfried Ilg, Jens Seemann, Martin A. Giese, et al.
Neurology (2020) Vol. 95, Iss. 9
Closed Access | Times Cited: 82
Detection of mild cognitive impairment and Alzheimer’s disease using dual-task gait assessments and machine learning
Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, et al.
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102249-102249
Open Access | Times Cited: 75
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 62
Clothing condition does not affect meaningful clinical interpretation in markerless motion capture
Vajra T. Keller, Jereme Outerleys, Robert M. Kanko, et al.
Journal of Biomechanics (2022) Vol. 141, pp. 111182-111182
Closed Access | Times Cited: 38
Accuracy and repeatability of the Microsoft Azure Kinect for clinical measurement of motor function
Johannes Bertram, Theresa Krüger, Hanna Marie Röhling, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0279697-e0279697
Open Access | Times Cited: 30
Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers
Winfried Ilg, Sarah Milne, Tanja Schmitz‐Hübsch, et al.
The Cerebellum (2023) Vol. 23, Iss. 4, pp. 1566-1592
Open Access | Times Cited: 28
A Double‐Blind, Randomized, Placebo‐Controlled Trial of Ursodeoxycholic Acid (UDCA) in Parkinson's Disease
Thomas Payne, Matthew Appleby, Ellen Buckley, et al.
Movement Disorders (2023) Vol. 38, Iss. 8, pp. 1493-1502
Open Access | Times Cited: 27
The evolution of Big Data in neuroscience and neurology
Laura Dipietro, Paola Gonzalez‐Mego, Ciro Ramos‐Estebanez, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 24
Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia
Dante Trabassi, Stefano Filippo Castiglia, Fabiano Bini, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3613-3613
Open Access | Times Cited: 11
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases
Robbin Romijnders, Arash Atrsaei, Rana Zia Ur Rehman, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Do Alzheimer's and Lewy body disease have discrete pathological signatures of gait?
Ríona Mc Ardle, Brook Galna, Paul C. Donaghy, et al.
Alzheimer s & Dementia (2019) Vol. 15, Iss. 10, pp. 1367-1377
Open Access | Times Cited: 68
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Information Fusion (2021) Vol. 78, pp. 57-70
Open Access | Times Cited: 55
The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes
Ríona Mc Ardle, Silvia Del Din, Paul C. Donaghy, et al.
Sensors (2021) Vol. 21, Iss. 3, pp. 813-813
Open Access | Times Cited: 51
Kinematic and plantar pressure analysis in Strumpell-Lorrain disease: A case report
Roberto Tedeschi
Brain Disorders (2023) Vol. 11, pp. 100097-100097
Open Access | Times Cited: 22
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
Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk
Christopher Buckley, M. Encarna Micó-Amigo, Michael Dunne-Willows, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 37-37
Open Access | Times Cited: 43
A machine learning-based diagnostic model associated with knee osteoarthritis severity
Soon Bin Kwon, Yunseo Ku, Hyuk-Soo Han, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 42
An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters
Tiwana Varrecchia, Stefano Filippo Castiglia, Alberto Ranavolo, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0244396-e0244396
Open Access | Times Cited: 40
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