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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:

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

Showing 1-25 of 43 citing articles:

Explaining the differences of gait patterns between high and low-mileage runners with machine learning
Datao Xu, Wenjing Quan, Huiyu Zhou, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 103
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
Systematic Review of the Role of Footwear Constructions in Running Biomechanics: Implications for Running-Related Injury and Performance.
Xiaole Sun, Wing‐Kai Lam, Xini Zhang, et al.
PubMed (2020) Vol. 19, Iss. 1, pp. 20-37
Closed Access | Times Cited: 84
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
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
Differences in running technique between runners with better and poorer running economy and lower and higher milage: An artificial neural network approach
Bas Van Hooren, Rebecca Lennartz, Maartje Cox, et al.
Scandinavian Journal of Medicine and Science in Sports (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 5
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
Which Factors Influence Running Gait in Children and Adolescents? A Narrative Review
Anthony Sudlow, Paul Galantine, Fabrice Vercruyssen, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4621-4621
Open Access | Times Cited: 10
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics
Xianghao Zhan, Yiheng Li, Yuzhe Liu, et al.
Journal of sport and health science/Journal of Sport and Health Science (2023) Vol. 12, Iss. 5, pp. 619-629
Open Access | Times Cited: 10
The Relationship Between Stiff Knee Gait Runner’s Dystonia and Musculoskeletal Knee Pathology: A Case Series
Jared Alexander Stowers, Derek S. Day, Steven Jow, et al.
Toxins (2025) Vol. 17, Iss. 3, pp. 121-121
Open 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
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
Effects of 12-week cadence retraining on impact peak, load rates and lower extremity biomechanics in running
Junqing Wang, Zhen Luo, Boyi Dai, et al.
PeerJ (2020) Vol. 8, pp. e9813-e9813
Open Access | Times Cited: 23
A foot joint and muscle force assessment of the running stance phase whilst wearing normal shoes and bionic shoes
Huiyu Zhou, Datao Xu, Wenjing Quan, et al.
Acta of Bioengineering and Biomechanics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 11
Running-Related Injury Incidence: Does It Correlate with Kinematic Sub-groups of Runners? A Scoping Review
L. Adamson, Liam Vandamme, Trevor Prior, et al.
Sports Medicine (2024) Vol. 54, Iss. 5, pp. 1163-1178
Open Access | Times Cited: 2
Relationships between Foot Morphology and Foot Muscle Strength in Healthy Adults
Songlin Xiao, Xini Zhang, Liqin Deng, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 4, pp. 1274-1274
Open Access | Times Cited: 14
New Insights for the Design of Bionic Robots: Adaptive Motion Adjustment Strategies During Feline Landings
Datao Xu, Huiyu Zhou, Xinyan Jiang, et al.
Frontiers in Veterinary Science (2022) Vol. 9
Open Access | Times Cited: 9
Dataset of lower extremity joint angles, moments and forces in distance running
Qichang Mei, Justin Fernandez, Liangliang Xiang, et al.
Heliyon (2022) Vol. 8, Iss. 11, pp. e11517-e11517
Open Access | Times Cited: 9
A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology
Joshua Autton Carter, Adrian Rodriguez Rivadulla, Ezio Preatoni
Sports Biomechanics (2022), pp. 1-18
Open Access | Times Cited: 7
Modelling 5-km Running Performance on Level and Hilly Terrains in Recreational Runners
Onécimo Ubiratã Medina Melo, Marcus Peikriszwili Tartaruga, Edilson Fernando de Borba, et al.
Biology (2022) Vol. 11, Iss. 5, pp. 789-789
Open Access | Times Cited: 7
Augmented Cooper test: Biomechanical contributions to endurance performance
Salil Apte, Simone Troxler, Cyril Besson, et al.
Frontiers in Sports and Active Living (2022) Vol. 4
Open Access | Times Cited: 7
Twelve-Week Gait Retraining Reduced Patellofemoral Joint Stress during Running in Male Recreational Runners
Baofeng Wang, Yang Yang, Xini Zhang, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 10
Accuracy of training recommendations based on a treadmill multistage incremental exercise test
Hendrik Mugele, Ashley Plummer, Omar Baritello, et al.
PLoS ONE (2018) Vol. 13, Iss. 10, pp. e0204696-e0204696
Open Access | Times Cited: 9
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