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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:

Muscle contributions to fore-aft and vertical body mass center accelerations over a range of running speeds
Samuel R. Hamner, Scott L. Delp
Journal of Biomechanics (2012) Vol. 46, Iss. 4, pp. 780-787
Open Access | Times Cited: 268

Showing 1-25 of 268 citing articles:

OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
Ajay Seth, Jennifer L. Hicks, Thomas K. Uchida, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 7, pp. e1006223-e1006223
Open Access | Times Cited: 1015
Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait
Apoorva Rajagopal, Christopher L. Dembia, Matthew S. DeMers, et al.
IEEE Transactions on Biomedical Engineering (2016) Vol. 63, Iss. 10, pp. 2068-2079
Open Access | Times Cited: 788
Is My Model Good Enough? Best Practices for Verification and Validation of Musculoskeletal Models and Simulations of Movement
Jennifer L. Hicks, Thomas K. Uchida, Ajay Seth, et al.
Journal of Biomechanical Engineering (2014) Vol. 137, Iss. 2
Open Access | Times Cited: 626
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities
Eni Halilaj, Apoorva Rajagopal, Madalina Fiterau, et al.
Journal of Biomechanics (2018) Vol. 81, pp. 1-11
Open Access | Times Cited: 333
Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization
Massimo Sartori, Dario Farina, David G. Lloyd
Journal of Biomechanics (2014) Vol. 47, Iss. 15, pp. 3613-3621
Closed Access | Times Cited: 195
In vivo behavior of the human soleus muscle with increasing walking and running speeds
Adrian Lai, Glen A. Lichtwark, Anthony G. Schache, et al.
Journal of Applied Physiology (2015) Vol. 118, Iss. 10, pp. 1266-1275
Closed Access | Times Cited: 185
Why are Antagonist Muscles Co-activated in My Simulation? A Musculoskeletal Model for Analysing Human Locomotor Tasks
Adrian Lai, Allison S. Arnold, James M. Wakeling
Annals of Biomedical Engineering (2017) Vol. 45, Iss. 12, pp. 2762-2774
Open Access | Times Cited: 182
Simulating Ideal Assistive Devices to Reduce the Metabolic Cost of Running
Thomas K. Uchida, Ajay Seth, Soha Pouya, et al.
PLoS ONE (2016) Vol. 11, Iss. 9, pp. e0163417-e0163417
Open Access | Times Cited: 158
Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies
Massimo Sartori, David G. Llyod, Dario Farina
IEEE Transactions on Biomedical Engineering (2016) Vol. 63, Iss. 5, pp. 879-893
Open Access | Times Cited: 146
The gearing function of running shoe longitudinal bending stiffness
Steffen Willwacher, Manuel König, Bjoern Braunstein, et al.
Gait & Posture (2014) Vol. 40, Iss. 3, pp. 386-390
Closed Access | Times Cited: 131
A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics
Reginaldo Fukuchi, Claudiane A. Fukuchi, Marcos Duarte
PeerJ (2017) Vol. 5, pp. e3298-e3298
Open Access | Times Cited: 126
Tendon elastic strain energy in the human ankle plantar-flexors and its role with increased running speed
Adrian Lai, Anthony G. Schache, Yi‐Chung Lin, et al.
Journal of Experimental Biology (2014)
Open Access | Times Cited: 125
Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion
Massimo Sartori, Marco Maculan, Claudio Pizzolato, et al.
Journal of Neurophysiology (2015) Vol. 114, Iss. 4, pp. 2509-2527
Open Access | Times Cited: 125
Lower-Limb Muscular Strategies for Increasing Running Speed
Anthony G. Schache, Tim W. Dorn, Gavin Williams, et al.
Journal of Orthopaedic and Sports Physical Therapy (2014) Vol. 44, Iss. 10, pp. 813-824
Closed Access | Times Cited: 122
A musculoskeletal model of human locomotion driven by a low dimensional set of impulsive excitation primitives
Massimo Sartori, Leonardo Gizzi, David G. Lloyd, et al.
Frontiers in Computational Neuroscience (2013) Vol. 7
Open Access | Times Cited: 120
Stretching Your Energetic Budget: How Tendon Compliance Affects the Metabolic Cost of Running
Thomas K. Uchida, Jennifer L. Hicks, Christopher L. Dembia, et al.
PLoS ONE (2016) Vol. 11, Iss. 3, pp. e0150378-e0150378
Open Access | Times Cited: 111
Plasticity of muscle synergies through fractionation and merging during development and training of human runners
Vincent C. K. Cheung, Ben Man Fei Cheung, Janet H. Zhang, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 108
Predictive Simulation Generates Human Adaptations during Loaded and Inclined Walking
Tim W. Dorn, Jack M. Wang, Jennifer L. Hicks, et al.
PLoS ONE (2015) Vol. 10, Iss. 4, pp. e0121407-e0121407
Open Access | Times Cited: 104
The force–length–velocity potential of the human soleus muscle is related to the energetic cost of running
Sebastian Böhm, Falk Mersmann, Alessandro Santuz, et al.
Proceedings of the Royal Society B Biological Sciences (2019) Vol. 286, Iss. 1917, pp. 20192560-20192560
Open Access | Times Cited: 92
Operating length and velocity of human vastus lateralis muscle during walking and running
Sebastian Böhm, Robert Marzilger, Falk Mersmann, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 90
The biomechanics of running and running styles: a synthesis
Ben van Oeveren, Cornelis J. de Ruiter, Peter J. Beek, et al.
Sports Biomechanics (2021) Vol. 23, Iss. 4, pp. 516-554
Open Access | Times Cited: 88
Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
Seungmoon Song, Łukasz Kidziński, Xue Bin Peng, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 66
Muscle Force Contributions to Anterior Cruciate Ligament Loading
Nirav Maniar, Michael H. Cole, Adam L. Bryant, et al.
Sports Medicine (2022) Vol. 52, Iss. 8, pp. 1737-1750
Open Access | Times Cited: 60
How muscles maximize performance in accelerated sprinting
Marcus G. Pandy, Adrian Lai, Anthony G. Schache, et al.
Scandinavian Journal of Medicine and Science in Sports (2021) Vol. 31, Iss. 10, pp. 1882-1896
Open Access | Times Cited: 59
Which muscles compromise human locomotor performance with age?
Juha‐Pekka Kulmala, Marko T. Korhonen, Sami Kuitunen, et al.
Journal of The Royal Society Interface (2014) Vol. 11, Iss. 100, pp. 20140858-20140858
Open Access | Times Cited: 83
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