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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:

Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury
Christos Kokkotis, Serafeim Moustakidis, Themistoklis Tsatalas, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities
T. Bradley Willingham, Julie Stowell, George Collier, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 1, pp. 79-79
Open Access | Times Cited: 10
Intelligent Robotics in Pediatric Cooperative Neurorehabilitation: A Review
Elishai Ezra Tsur, Odelia Elkana
Robotics (2024) Vol. 13, Iss. 3, pp. 49-49
Open Access | Times Cited: 5
Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review
Yun Xin Teoh, Alice Othmani, Siew Li Goh, et al.
IEEE Access (2024) Vol. 12, pp. 109080-109108
Open Access | Times Cited: 3
Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy
Djordje Slijepčević, Matthias Zeppelzauer, Fabian Unglaube, et al.
IEEE Access (2023) Vol. 11, pp. 65906-65923
Open Access | Times Cited: 7
Identifying Key Factors for Predicting the Age at Peak Height Velocity in Preadolescent Team Sports Athletes Using Explainable Machine Learning
Nikolaos-Orestis Retzepis, Alexandra Avloniti, Christos Kokkotis, et al.
Sports (2024) Vol. 12, Iss. 11, pp. 287-287
Open Access | Times Cited: 2
Exploration and demonstration of explainable machine learning models in prosthetic rehabilitation-based gait analysis
Mohammad Pourmahmood Aghababa, Jan Andrysek
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300447-e0300447
Open Access | Times Cited: 1
Leveraging Multivariable Linear Regression Analysis to Identify Patients with Anterior Cruciate Ligament Deficiency Using a Composite Index of the Knee Flexion and Muscle Force
Haoran Li, Hongshi Huang, Shuang Ren, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 284-284
Open Access | Times Cited: 2
Diagnosis of generalized joint hypermobility with gait patterns using a deep neural network
Guoqing Zhong, Shuai Huang, Ziyue Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107360-107360
Closed Access | Times Cited: 2
Artificial Intelligence in Surgery, Surgical Subspecialties, and Related Disciplines
Ryan Lee, Alyssa Imperatore Ziehm, Lauryn Ullrich, et al.
Artificial intelligence (2023)
Open Access | Times Cited: 2
Association between Self-Reported Prior Night’s Sleep and Single-Task Gait in Healthy, Young Adults: A Study Using Machine Learning
Ali Boolani, Joel Martin, Haikun Huang, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7406-7406
Open Access | Times Cited: 3
Identifying Gait-Related Functional Outcomes in Post-Knee Surgery Patients Using Machine Learning: A Systematic Review
Christos Kokkotis, Georgios Chalatsis, Serafeim Moustakidis, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 20, Iss. 1, pp. 448-448
Open Access | Times Cited: 3
Exploring Upper Limb Kinematics in Limited Vision Conditions: Preliminary Insights from 3D Motion Analysis and IMU Data
Artemis Zarkadoula, Tsatalas Themistoklis, Bellis George, et al.
IgMin Research (2024) Vol. 2, Iss. 1, pp. 018-022
Open Access
Effectiveness of a rehabilitation protocol after anterior cruciate ligament reconstruction in returning to match rhythm: a case study of a professional soccer player
Bartłomiej Kacprzak, Natalia Siuba-Jarosz, Adrian Miler, et al.
Journal of Education Health and Sport (2024) Vol. 60, pp. 51809-51809
Open Access
An Effective Satin Bowerbird Optimization Based Modified Elman Recurrent Neural Network for Thigh Muscle Segmentation and Quantification in Patients Undergoing Total Knee Replacement (TKR)
V. Arunachalam, N. Kumareshan
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2024)
Closed Access
A machine learning approach to identify stride characteristics predictive of musculoskeletal injury, enforced rest and retirement in Thoroughbred racehorses
P. M. Bogossian, Usha Nattala, Adelene S. M. Wong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements
Carlo Dindorf, Fabian Horst, Djordje Slijepčević, et al.
Springer optimization and its applications (2024), pp. 91-148
Closed Access
The Effects of a Single Session of a Rhythmic Movement Program on Selected Biopsychological Parameters in PD Patients: A Methodological Approach
Claire Chrysanthi Karpodini, Themistoklis Tsatalas, Ioannis Giannakopoulos, et al.
Medicina (2023) Vol. 59, Iss. 8, pp. 1408-1408
Open Access
To Explore the Clinical Application of Gait Analysis in Knee Biomechanical Imbalance
家涛 文
Advances in Clinical Medicine (2023) Vol. 13, Iss. 08, pp. 12770-12776
Closed Access
Explainable Machine Learning Models for Identification of Food-Related Lifestyle Factors in Chicken Meat Consumption Case in Northern Greece
Dimitrios Chiras, Marina Stamatopoulou, Nikolaos Paraskevis, et al.
BioMedInformatics (2023) Vol. 3, Iss. 3, pp. 817-828
Open Access
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