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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 gait muscle activation patterns according to knee injury history using a support vector machine approach
M. Mohr, Vinzenz von Tscharner, Carolyn A. Emery, et al.
Human Movement Science (2019) Vol. 66, pp. 335-346
Closed Access | Times Cited: 15

Showing 15 citing articles:

An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data
Christos Kokkotis, Georgios Giarmatzis, Ερασμία Γιαννακού, et al.
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2392-2392
Open Access | Times Cited: 49
Gait Phase Classification for a Lower Limb Exoskeleton System Based on a Graph Convolutional Network Model
Xinyu Wu, Ye Yuan, Xikun Zhang, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 5, pp. 4999-5008
Closed Access | Times Cited: 43
Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders
Christopher Fricke, Jalal Alizadeh, Nahrin Zakhary, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 41
Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation
Lianhua Liu, Bo Bi, Li Juan Cao, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 6
A warning machine learning algorithm for early knee osteoarthritis structural progressor patient screening
Hossein Bonakdari, Afshin Jamshidi, Jean‐Pierre Pelletier, et al.
Therapeutic Advances in Musculoskeletal Disease (2021) Vol. 13
Open Access | Times Cited: 38
Metric Learning for Robust Gait Phase Recognition for a Lower Limb Exoskeleton Robot Based on sEMG
Jiaqing Liu, Can Wang, Bailin He, et al.
IEEE Transactions on Medical Robotics and Bionics (2022) Vol. 4, Iss. 2, pp. 472-479
Closed Access | Times Cited: 26
Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors’ Functional Outcome upon Discharge Utilizing Explainable Machine Learning
Aimilios Gkantzios, Christos Kokkotis, Dimitrios Tsiptsios, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 532-532
Open Access | Times Cited: 13
From Admission to Discharge: Predicting National Institutes of Health Stroke Scale Progression in Stroke Patients Using Biomarkers and Explainable Machine Learning
Aimilios Gkantzios, Christos Kokkotis, Dimitrios Tsiptsios, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 9, pp. 1375-1375
Open Access | Times Cited: 10
Muscle Co-Contraction Detection in the Time–Frequency Domain
Francesco Di Nardo, Martina Morano, Annachiara Strazza, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4886-4886
Open Access | Times Cited: 14
Artificial Intelligence in the Management of Anterior Cruciate Ligament Injuries
Jason Corban, Justin-Pierre Lorange, Carl Laverdière, et al.
Orthopaedic Journal of Sports Medicine (2021) Vol. 9, Iss. 7
Open Access | Times Cited: 18
Wavelet analysis reveals differential lower limb muscle activity patterns long after anterior cruciate ligament reconstruction
Payam Zandiyeh, Lauren R. Parola, Braden C. Fleming, et al.
Journal of Biomechanics (2022) Vol. 133, pp. 110957-110957
Open Access | Times Cited: 9
Time-frequency analysis of muscle activation patterns in people with chronic ankle instability during Landing and cutting tasks
Hoon Kim, Riann M. Palmieri‐Smith, Kristof Kipp
Gait & Posture (2020) Vol. 82, pp. 203-208
Closed Access | Times Cited: 14
Changes in gastrocnemii activation at mid-to-late stance markedly affects the intact and anterior cruciate ligament deficient knee biomechanics and stability in gait
Masoud Sharifi, A. Shirazi‐Adl
The Knee (2021) Vol. 29, pp. 530-540
Closed Access | Times Cited: 8
Machine Learning in Biomechanics: Enhancing Human Movement Analysis
Bernd J. Stetter, Thorsten Stein
(2024), pp. 139-160
Closed Access
iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons
Hui Chen, Xiangyang Wang, Yang Xiao, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
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