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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:

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

Showing 1-25 of 109 citing articles:

The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9498-9498
Open Access | Times Cited: 128
Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning
Hyerim Lim, Bumjoon J. Kim, Sukyung Park
Sensors (2019) Vol. 20, Iss. 1, pp. 130-130
Open Access | Times Cited: 127
CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data
Eva Dorschky, Marlies Nitschke, Christine F. Martindale, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 101
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
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: 70
Artificial Intelligence‐Based Medical Sensors for Healthcare System
Mingrui Chen, Daxiang Cui, Hossam Haick, et al.
Advanced Sensor Research (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 28
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
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques
Reed D. Gurchiek, Nick Cheney, Ryan S. McGinnis
Sensors (2019) Vol. 19, Iss. 23, pp. 5227-5227
Open Access | Times Cited: 62
The Use of Synthetic IMU Signals in the Training of Deep Learning Models Significantly Improves the Accuracy of Joint Kinematic Predictions
Mohsen Sharifi Renani, Abigail Eustace, Casey A. Myers, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5876-5876
Open Access | Times Cited: 45
Machine learning for rapid estimation of lower extremity muscle and joint loading during activities of daily living
William S. Burton, Casey A. Myers, Paul J. Rullkoetter
Journal of Biomechanics (2021) Vol. 123, pp. 110439-110439
Closed Access | Times Cited: 42
Predicting Knee Joint Kinematics from Wearable Sensor Data in People with Knee Osteoarthritis and Clinical Considerations for Future Machine Learning Models
Jay-Shian Tan, Sawitchaya Tippaya, Tara Binnie, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 446-446
Open Access | Times Cited: 38
Multi-functional STF-based yarn for human protection and wearable systems
Junshuo Zhang, Yu Wang, Jianyu Zhou, et al.
Chemical Engineering Journal (2022) Vol. 453, pp. 139869-139869
Closed Access | Times Cited: 32
Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review
Chang June Lee, Jung Keun Lee
Sensors (2022) Vol. 22, Iss. 7, pp. 2507-2507
Open Access | Times Cited: 31
Extended Application of Inertial Measurement Units in Biomechanics: From Activity Recognition to Force Estimation
Wenqi Liang, Fanjie Wang, Ao Fan, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4229-4229
Open Access | Times Cited: 18
Integrating an LSTM framework for predicting ankle joint biomechanics during gait using inertial sensors
Liangliang Xiang, Yaodong Gu, Zixiang Gao, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108016-108016
Closed Access | Times Cited: 8
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
Titanium surface treatment by calcium modification with acid-etching promotes osteogenic activity and stability of dental implants
Yujiro Doe, Hiroto Ida, Masahiro Seiryu, et al.
Materialia (2020) Vol. 12, pp. 100801-100801
Open Access | Times Cited: 40
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
Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Chi Wu, Yanan Xu, Jianguang Fang, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 6
A Machine Learning Approach to Estimate Hip and Knee Joint Loading Using a Mobile Phone-Embedded IMU
Arne De Brabandere, Jill Emmerzaal, Annick Timmermans, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 36
Inertial Sensors—Applications and Challenges in a Nutshell
Thomas Seel, Manon Kok, Ryan S. McGinnis
Sensors (2020) Vol. 20, Iss. 21, pp. 6221-6221
Open Access | Times Cited: 33
Design of a sensor technology-based hand-eye coordination measuring tool: Validity and reliability
Roma Irawan, Ronni Yenes, Deby Tri Mario, et al.
Retos (2024) Vol. 56, pp. 966-973
Open Access | Times Cited: 4
Human Motion Recognition of Knitted Flexible Sensor in Walking Cycle
Yutian Li, Xuhong Miao, Li Niu, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 35-35
Open Access | Times Cited: 33
Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players
Salvatore Tedesco, Colum Crowe, Andrew M. Ryan, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3029-3029
Open Access | Times Cited: 31
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