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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:

Kinematic Gait Patterns in Competitive and Recreational Runners
Christian A. Clermont, Sean T. Osis, Angkoon Phinyomark, et al.
Journal of Applied Biomechanics (2017) Vol. 33, Iss. 4, pp. 268-276
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

A new method proposed for realizing human gait pattern recognition: Inspirations for the application of sports and clinical gait analysis
Datao Xu, Huiyu Zhou, Wenjing Quan, et al.
Gait & Posture (2023) Vol. 107, pp. 293-305
Closed Access | Times Cited: 65
Wearables for Running Gait Analysis: A Systematic Review
Rachel Mason, Liam T. Pearson, Gill Barry, et al.
Sports Medicine (2022) Vol. 53, Iss. 1, pp. 241-268
Open Access | Times Cited: 70
Running patterns for male and female competitive and recreational runners based on accelerometer data
Christian A. Clermont, Lauren C. Benson, Sean T. Osis, et al.
Journal of Sports Sciences (2018) Vol. 37, Iss. 2, pp. 204-211
Closed Access | Times Cited: 68
Biomechanical risk factors for running-related injury differ by sample population: A systematic review and meta-analysis
C. Nathan Vannatta, Becky Heinert, Thomas W. Kernozek
Clinical Biomechanics (2020) Vol. 75, pp. 104991-104991
Closed Access | Times Cited: 55
A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns
Susanne Jauhiainen, Andrew J. Pohl, Sami Äyrämö, et al.
Scandinavian Journal of Medicine and Science in Sports (2020) Vol. 30, Iss. 4, pp. 732-740
Closed Access | Times Cited: 54
Recommendations for Movement Re-training After ACL Reconstruction
Matthew Buckthorpe
Sports Medicine (2021) Vol. 51, Iss. 8, pp. 1601-1618
Closed Access | Times Cited: 51
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions
Nizam Uddin Ahamed, Dylan Kobsar, Lauren C. Benson, et al.
PLoS ONE (2018) Vol. 13, Iss. 9, pp. e0203839-e0203839
Open Access | Times Cited: 55
A development framework for decision support systems in high-performance sport
Xavier Schelling, Sam Robertson
International Journal of Computer Science in Sport (2020) Vol. 19, Iss. 1, pp. 1-23
Open Access | Times Cited: 42
Recent Machine Learning Progress in Lower Limb Running Biomechanics With Wearable Technology: A Systematic Review
Liangliang Xiang, Alan Wang, Yaodong Gu, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 26
Population and Age-Based Cardiorespiratory Fitness Level Investigation and Automatic Prediction
Liangliang Xiang, Kaili Deng, Qichang Mei, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 23
Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Chi Wu, Yanan Xu, Jianguang Fang, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 6
Classification of higher- and lower-mileage runners based on running kinematics
Christian A. Clermont, Angkoon Phinyomark, Sean T. Osis, et al.
Journal of sport and health science/Journal of Sport and Health Science (2017) Vol. 8, Iss. 3, pp. 249-257
Open Access | Times Cited: 43
New Considerations for Wearable Technology Data: Changes in Running Biomechanics During a Marathon
Christian A. Clermont, Lauren C. Benson, W. Brent Edwards, et al.
Journal of Applied Biomechanics (2019) Vol. 35, Iss. 6, pp. 401-409
Closed Access | Times Cited: 43
The biomechanical characteristics of high‐performance endurance running
Stephen Preece, Christopher Bramah, Duncan Mason
European Journal of Sport Science (2018) Vol. 19, Iss. 6, pp. 784-792
Open Access | Times Cited: 41
The assessment of movement health in clinical practice: A multidimensional perspective
Bart Dingenen, Lincoln Blandford, Mark Comerford, et al.
Physical Therapy in Sport (2018) Vol. 32, pp. 282-292
Open Access | Times Cited: 34
Analysis of running stability during 5000 m running*
Tim Hoenig, Daniel Hamacher, Klaus‐Michael Braumann, et al.
European Journal of Sport Science (2018) Vol. 19, Iss. 4, pp. 413-421
Closed Access | Times Cited: 33
The influence of high-intensity interval running bouts on distal anterior femoral cartilage in competitive distance and middle-distance runners
Ryan J. Evans, Harry S. Battersby, Leah E. Williams, et al.
Journal of Sports Sciences (2025), pp. 1-13
Closed Access
Neural networks can accurately identify individual runners from their foot kinematics, but fail to predict their running performance
Patrick Mayerhofer, Christopher Napier, David C. Clarke, et al.
Journal of Biomechanics (2025), pp. 112663-112663
Open Access
Arterial spin labeling MRI based perfusion pattern related to motor dysfunction and L-DOPA reactivity in Parkinson’s disease
Qianshi Zheng, Weijin Yuan, Jiaqi Wen, et al.
NeuroImage Clinical (2025), pp. 103776-103776
Open Access
Running shoes for preventing lower limb running injuries in adults
Nicola Relph, Henrike Greaves, Ross Armstrong, et al.
Cochrane library (2022) Vol. 2022, Iss. 8
Open Access | Times Cited: 15
Classification of runners’ performance levels with concurrent prediction of biomechanical parameters using data from inertial measurement units
Qi Liu, Shiwei Mo, Vincent C. K. Cheung, et al.
Journal of Biomechanics (2020) Vol. 112, pp. 110072-110072
Closed Access | Times Cited: 23
Automatic Classification of Barefoot and Shod Populations Based on the Foot Metrics and Plantar Pressure Patterns
Liangliang Xiang, Yaodong Gu, Qichang Mei, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 12
Is markerless, smart phone recorded two-dimensional video a clinically useful measure of relevant lower limb kinematics in runners with patellofemoral pain? A validity and reliability study
Bradley Stephen Neal, Simon Lack, Christian J. Barton, et al.
Physical Therapy in Sport (2020) Vol. 43, pp. 36-42
Open Access | Times Cited: 18
Impact of biomechanics on therapeutic interventions and rehabilitation for major chronic musculoskeletal conditions: A 50-year perspective
Isabel de Camargo Neves Sacco, Francis Trombini-Souza, Eneida Yuri Suda
Journal of Biomechanics (2023) Vol. 154, pp. 111604-111604
Closed Access | Times Cited: 6
Recognition of Foot-Ankle Movement Patterns in Long-Distance Runners With Different Experience Levels Using Support Vector Machines
Eneida Yuri Suda, Ricky Watari, Alessandra B. Matias, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 15
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