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 26-50 of 161 citing articles:

Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
Christina Salchow-Hömmen, Matej Skrobot, Magdalena C. E. Jochner, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 26

Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data
Vassilios Tsakanikas, Adamantios Ntanis, George Rigas, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3902-3902
Open Access | Times Cited: 16

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 15

A comparison of three-dimensional kinematics between markerless and marker-based motion capture in overground gait
Zachary Ripic, M. B. Nienhuis, Joseph F. Signorile, et al.
Journal of Biomechanics (2023) Vol. 159, pp. 111793-111793
Closed Access | Times Cited: 15

Video Based Mobility Monitoring of Elderly People Using Deep Learning Models
Laura Romeo, Roberto Marani, Tiziana D’Orazio, et al.
IEEE Access (2023) Vol. 11, pp. 2804-2819
Open Access | Times Cited: 14

4-Aminopyridine improves real-life gait performance in SCA27B on a single-subject level: a prospective n-of-1 treatment experience
Jens Seemann, Andreas Traschütz, Winfried Ilg, et al.
Journal of Neurology (2023) Vol. 270, Iss. 11, pp. 5629-5634
Open Access | Times Cited: 13

AI‐Based Metamaterial Design for Wearables
Defne Yigci, Abdollah Ahmadpour, Savas Tasoglu
Advanced Sensor Research (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 13

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson’s Disease
Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, et al.
Sensors (2019) Vol. 19, Iss. 24, pp. 5363-5363
Open Access | Times Cited: 41

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

Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring
Aleš Procházka, Ondřej Dostál, Pavel Cejnar, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 360-367
Open Access | Times Cited: 32

Automated Recognition of Alzheimer’s Dementia Using Bag-of-Deep-Features and Model Ensembling
Zafi Sherhan Syed, Muhammad Shehram Shah Syed, Margaret Lech, et al.
IEEE Access (2021) Vol. 9, pp. 88377-88390
Open Access | Times Cited: 29

Continuous gait monitoring discriminates community‐dwelling mild Alzheimer's disease from cognitively normal controls
Vijay R. Varma, Rahul Ghosal, Inbar Hillel, et al.
Alzheimer s & Dementia Translational Research & Clinical Interventions (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 28

The attitude of patients with progressive ataxias towards clinical trials
Gilbert Thomas‐Black, Andrada Dumitrascu, Héctor García‐Moreno, et al.
Orphanet Journal of Rare Diseases (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 22

The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking
Arne Küderle, Nils Roth, Jovana Zlatanovic, et al.
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0269567-e0269567
Open Access | Times Cited: 21

STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning
Fulin Cai, Abhidnya Patharkar, Teresa Wu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10998-11006
Closed Access | Times Cited: 12

Daily-life walking speed, running duration and bedtime from wrist-worn sensors predict incident dementia: A watch walk – UK biobank study
Lloyd L. Y. Chan, María Teresa Espinoza Cerda, Matthew A. Brodie, et al.
International Psychogeriatrics (2025), pp. 100031-100031
Closed Access

Predictive potential of circular walking in prodromal Parkinson's disease
M. Encarna Micó-Amigo, Idsart Kingma, Sebastian Heinzel, et al.
Journal of Parkinson s Disease (2025)
Open Access

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

Underlying control of gait and mobility
Lisa Alcock, Hilmar P. Sigurdsson, Nicola Ray, et al.
Elsevier eBooks (2025), pp. 3-38
Closed Access

Integrated Janus Meta-Fabric via an Interlock Stitch Knitted Structure for Marginal Physiological Signal Monitoring
Bowen Yin, Lihong Wang, Jiaxu Liu, et al.
ACS Applied Electronic Materials (2025)
Closed Access

Reliability and Validity of a Video-Based Markerless Motion Capture System in Young Healthy Subjects
Ziqi Wang, Hao Chen, Lei Yue, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42597-e42597
Open Access

Gender-Based Differences in Biomechanical Walking Patterns of Athletes Using Inertial Sensors
Elina Gianzina, Christos K. Yiannakopoulos, Georgios Kalinterakis, et al.
Journal of Functional Morphology and Kinesiology (2025) Vol. 10, Iss. 1, pp. 82-82
Open Access

Reducing soft tissue artefacts through projection of markers and microwave imaging: An exploratory study
R. Vignesh, Martin P. Robinson, Niccolo M. Fiorentino, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

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