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.

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Showing 9 citing articles:

Concurrent validity of smartphone-based markerless motion capturing to quantify lower-limb joint kinematics in healthy and pathological gait
Brian Horsak, Anna Eichmann, Kerstin Lauer, et al.
Journal of Biomechanics (2023) Vol. 159, pp. 111801-111801
Open Access | Times Cited: 33

On the prediction of tibiofemoral contact forces for healthy individuals and osteoarthritis patients during gait: a comparative study of regression methods
Felipe Arruda Moura, Alexandre Roberto Marcondes Pelegrinelli, Danilo S. Catelli, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Osteoarthritis year in review 2024: biomechanics
Annegret Mündermann, Corina Nüesch, Hannah Ewald, et al.
Osteoarthritis and Cartilage (2024) Vol. 32, Iss. 12, pp. 1530-1541
Open Access | Times Cited: 2

Population‐based in silico modeling of anatomical shape variation of the knee and its impact on joint loading in knee osteoarthritis
Miel Willems, Bryce A. Killen, Giacomo Di Raimondo, et al.
Journal of Orthopaedic Research® (2024) Vol. 42, Iss. 11, pp. 2473-2484
Closed Access | Times Cited: 1

Predicting Knee Joint Contact Force Peaks During Gait Using a Video Camera or Wearable Sensors
Jere Lavikainen, Lauri Stenroth, Paavo Vartiainen, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 12, pp. 3280-3294
Open Access

Digital human and embodied intelligence for sports science: advancements, opportunities and prospects
Xiang Suo, W. Tang, Lijuan Mao, et al.
The Visual Computer (2024)
Closed Access

Machine Learning Model Trained with Finite Element Modeling Can Predict the Risk of Osteoarthritis: Data from the Osteoarthritis Initiative
Mika E. Mononen, Mimmi K. Liukkonen, Mikael J. Turunen
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9538-9538
Open Access

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