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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:

Stochastic modelling of muscle recruitment during activity
Saulo Martelli, Daniela Calvetti, Erkki Somersalo, et al.
Interface Focus (2015) Vol. 5, Iss. 2, pp. 20140094-20140094
Open Access | Times Cited: 56

Showing 26-50 of 56 citing articles:

Benchmark and validation of state-of-the-art muscle recruitment strategies in shoulder modelling
Maxence Lavaill, Claudio Pizzolato, Bart Bolsterlee, et al.
Multibody System Dynamics (2024)
Open Access | Times Cited: 1
Exploring muscle recruitment by Bayesian methods during motion
Mercy G. Amankwah, Alex Bersani, Daniela Calvetti, et al.
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115082-115082
Open Access | Times Cited: 1
Efficacy and efficiency of multivariate linear regression for rapid prediction of femoral strain fields during activity
Hamed Ziaeipoor, Saulo Martelli, Marcus G. Pandy, et al.
Medical Engineering & Physics (2018) Vol. 63, pp. 88-92
Closed Access | Times Cited: 13
Latarjet’s muscular alterations increase glenohumeral joint stability: A theoretical study
Maxence Lavaill, Saulo Martelli, Kenneth Cutbush, et al.
Journal of Biomechanics (2023) Vol. 155, pp. 111639-111639
Open Access | Times Cited: 4
The Uncontrolled Manifold Theory Could Explain Part of the Inter-Trial Variability of Knee Contact Force During Level Walking
Bart van Veen, Claudia Mazzà, Marco Viceconti
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 8, pp. 1800-1807
Open Access | Times Cited: 11
Comparative evaluation of different spinal stability metrics
Amir Hossein Eskandari, Farshid Ghezelbash, A. Shirazi‐Adl, et al.
Journal of Biomechanics (2023) Vol. 162, pp. 111901-111901
Closed Access | Times Cited: 3
Do bone geometric properties of the proximal femoral diaphysis reflect loading history, muscle properties, or body dimensions?
Sirpa Niinimäki, Nathaniel Narra, Laura Härkönen, et al.
American Journal of Human Biology (2019) Vol. 31, Iss. 4
Open Access | Times Cited: 9
Electroplating of HAp-brushite coating on metallic bioimplants with advanced hemocompatibility and osteocompatibility properties
Yanhong Wang, Bing Wu, Songtao Ai, et al.
Journal of Applied Biomaterials & Functional Materials (2022) Vol. 20
Open Access | Times Cited: 5
Representing fine-wire EMG with surface EMG in three thigh muscles during high knee flexion movements
David C. Kingston, Stacey M. Acker
Journal of Electromyography and Kinesiology (2018) Vol. 43, pp. 55-61
Open Access | Times Cited: 7
Population-Based Bone Strain During Physical Activity: A Novel Method Demonstrated for the Human Femur
Hamed Ziaeipoor, Mark Taylor, Saulo Martelli
Annals of Biomedical Engineering (2020) Vol. 48, Iss. 6, pp. 1694-1701
Closed Access | Times Cited: 7
Hammering Does Not Fit Fitts' Law
Tadej Petrič, Cole S. Simpson, Aleš Ude, et al.
Frontiers in Computational Neuroscience (2017) Vol. 11
Open Access | Times Cited: 6
Multiscale modelling in biomechanics
Marco Viceconti, Jay D. Humphrey, Ali Erdemir, et al.
Interface Focus (2015) Vol. 5, Iss. 2, pp. 20150003-20150003
Open Access | Times Cited: 5
Human motor control: Is a subject-specific quantitative assessment of its multiple characteristics possible? A demonstrative application on children motor development
Maria Cristina Bisi, Rita Stagni
Medical Engineering & Physics (2020) Vol. 85, pp. 27-34
Closed Access | Times Cited: 5
EMG-informed neuromusculoskeletal models accurately predict knee loading measured using instrumented implants
Kieran Bennett, Claudio Pizzolato, Saulo Martelli, et al.
(2021)
Open Access | Times Cited: 5
The cost of being stable: Trade-offs between effort and stability across a landscape of redundant motor solutions
M. Hongchul Sohn, Lena H. Ting
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 4
Using Bayesian inference to estimate plausible muscle forces in musculoskeletal models
Russell T. Johnson, Daniel L. Lakeland, James M. Finley
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 3
Myobolica: a stochastic approach to estimate physiological muscle control variability
Alex Bersani, Mercy G. Amankwah, Daniela Calvetti, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 3270-3277
Open Access
Benchmark and Validation of State-of-the-art Muscle Recruitment Strategies in Shoulder Modelling
Maxence Lavaill, Claudio Pizzolato, Bart Bolsterlee, et al.
Research Square (Research Square) (2024)
Open Access
Exploring muscle recruitment by Bayesian methods during motion
Mercy G. Amankwah, Alex Bersani, Daniela Calvetti, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Assessment of musculoskeletal modelling procedures in healthy shoulders towards use for clinical applications
Maxence Lavaill
(2023)
Open Access | Times Cited: 1
Real-time replication of three-dimensional and time-varying physiological loading cycles for bone and implant testing: A novel protocol demonstrated for the proximal human femur while walking
Saulo Martelli, John J. Costi
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2021) Vol. 124, pp. 104817-104817
Open Access | Times Cited: 3
Medicine and the Virtual Physiological Human
Saulo Martelli, Rami Al‐Dirini, Serge Van Sint Jan
Elsevier eBooks (2019), pp. 577-589
Closed Access | Times Cited: 2
Predicting walking response to ankle exoskeletons using data-driven models
Michael C. Rosenberg, Bora S. Banjanin, Samuel A. Burden, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
Identification of activating and deactivating times of the triceps muscle during weigth lifting using recurrent neural networks
Shirin Madarshahian, Hamid Reza Kobravi
(2015), pp. 420-423
Closed Access
A computational framework to quantify neuromechanical constraints in selecting functional muscle activation patterns
M. Hongchul Sohn
(2015)
Closed Access

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