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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:

Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: Implications for science, sport and wearable tech
Emily S. Matijevich, Lauren M. Branscombe, Leon R. Scott, et al.
PLoS ONE (2019) Vol. 14, Iss. 1, pp. e0210000-e0210000
Open Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

Training Load and Injury: Causal Pathways and Future Directions
Judd T. Kalkhoven, Mark L. Watsford, Aaron J. Coutts, et al.
Sports Medicine (2021) Vol. 51, Iss. 6, pp. 1137-1150
Closed Access | Times Cited: 106
E-Textiles for Sports and Fitness Sensing: Current State, Challenges, and Future Opportunities
Kai Yang, Stuart A. McErlain‐Naylor, Beckie Isaia, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1058-1058
Open Access | Times Cited: 18
Estimation of Knee Joint Forces in Sport Movements Using Wearable Sensors and Machine Learning
Bernd J. Stetter, Steffen Ringhof, Frieder C. Krafft, et al.
Sensors (2019) Vol. 19, Iss. 17, pp. 3690-3690
Open Access | Times Cited: 109
Real-time feedback by wearables in running: Current approaches, challenges and suggestions for improvements
Bas Van Hooren, Jos Goudsmit, Juan Restrepo, et al.
Journal of Sports Sciences (2019) Vol. 38, Iss. 2, pp. 214-230
Open Access | Times Cited: 102
A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks
Bernd J. Stetter, Frieder C. Krafft, Steffen Ringhof, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 96
Multidimensional Ground Reaction Forces and Moments From Wearable Sensor Accelerations via Deep Learning
William R. Johnson, Ajmal Mian, Mark A. Robinson, et al.
IEEE Transactions on Biomedical Engineering (2020) Vol. 68, Iss. 1, pp. 289-297
Open Access | Times Cited: 92
Measuring biomechanical loads in team sports – from lab to field
Jasper Verheul, Niels Jensby Nedergaard, Jos Vanrenterghem, et al.
Science and Medicine in Football (2020) Vol. 4, Iss. 3, pp. 246-252
Open Access | Times Cited: 86
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: 68
The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review
Ezio Preatoni, Elena Bergamini, Silvia Fantozzi, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3225-3225
Open Access | Times Cited: 39
The Effect of Plyometric Training on the Speed, Agility, and Explosive Strength Performance in Elite Athletes
Hsuan Huang, Wei-Yang Huang, Cheng‐En Wu
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3605-3605
Open Access | Times Cited: 30
Engraving Polyamide Layers by In Situ Self-Etchable CaCO3 Nanoparticles Enhances Separation Properties and Antifouling Performance of Reverse Osmosis Membranes
Li Long, Hao Guo, Lingyue Zhang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 14, pp. 6435-6443
Closed Access | Times Cited: 10
A Review on Wearable Product Design and Applications
Prodromos Minaoglou, Nikolaos Efkolidis, Athanasios Manavis, et al.
Machines (2024) Vol. 12, Iss. 1, pp. 62-62
Open Access | Times Cited: 9
Evaluating the Biomechanical Effects and Real-World Usability of a Novel Ankle Exo for Runners
Cameron A. Nurse, Derek N. Wolf, Katherine M Rodzak, et al.
Journal of Biomechanical Engineering (2025), pp. 1-60
Closed Access | Times Cited: 1
Repeatability of Vertical Ground Reaction Force Estimation During Running on the Athletics Track on 3 Different Days
Bouke L. Scheltinga, Jaap H. Buurke, Joost N. Kok, et al.
Journal of Applied Biomechanics (2025), pp. 1-12
Closed Access | Times Cited: 1
Moving Beyond Weekly “Distance”: Optimizing Quantification of Training Load in Runners
Max R. Paquette, Christopher Napier, Richard W. Willy, et al.
Journal of Orthopaedic and Sports Physical Therapy (2020) Vol. 50, Iss. 10, pp. 564-569
Open Access | Times Cited: 65
Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running
Emily S. Matijevich, Leon R. Scott, Péter Völgyesi, et al.
Human Movement Science (2020) Vol. 74, pp. 102690-102690
Open Access | Times Cited: 61
Preventing Bone Stress Injuries in Runners with Optimal Workload
Stuart J. Warden, W. Brent Edwards, Richard W. Willy
Current Osteoporosis Reports (2021) Vol. 19, Iss. 3, pp. 298-307
Open Access | Times Cited: 51
Peak tibial acceleration should not be used as indicator of tibial bone loading during running
Marit A. Zandbergen, Xanthe J. Ter Wengel, Robbert P. van Middelaar, et al.
Sports Biomechanics (2023), pp. 1-18
Open Access | Times Cited: 19
Mechanical misconceptions: Have we lost the “mechanics” in “sports biomechanics”?
Andrew D. Vigotsky, Karl E. Zelik, Jason P. Lake, et al.
Journal of Biomechanics (2019) Vol. 93, pp. 1-5
Open Access | Times Cited: 49
Exercise Progression to Incrementally Load the Achilles Tendon
Josh R. Baxter, Patrick Corrigan, Todd J. Hullfish, et al.
Medicine & Science in Sports & Exercise (2020) Vol. 53, Iss. 1, pp. 124-130
Open Access | Times Cited: 46
Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning
Georgios Giarmatzis, Evangelia I. Zacharaki, Κωνσταντίνος Μουστάκας
Sensors (2020) Vol. 20, Iss. 23, pp. 6933-6933
Open Access | Times Cited: 41
A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling
Emily S. Matijevich, Péter Völgyesi, Karl E. Zelik
Sensors (2021) Vol. 21, Iss. 2, pp. 340-340
Open Access | Times Cited: 40
Vertical Loading Rate Is Not Associated with Running Injury, Regardless of Calculation Method
Elizabeth A. Schmida, Christa M. Wille, Mikel R. Stiffler-Joachim, et al.
Medicine & Science in Sports & Exercise (2022) Vol. 54, Iss. 8, pp. 1382-1388
Open Access | Times Cited: 26
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
Tibial bone forces can be monitored using shoe-worn wearable sensors during running
Laura J. Judson, Cameron A. Nurse, L.M. Grohowski, et al.
Journal of Sports Sciences (2022) Vol. 40, Iss. 15, pp. 1741-1749
Open Access | Times Cited: 25
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