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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.

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Showing 1-25 of 35 citing articles:

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
Relationships between External, Wearable Sensor-Based, and Internal Parameters: A Systematic Review
Janina Helwig, Janik Diels, Mareike Röll, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 827-827
Open Access | Times Cited: 17
IMU and Smartphone Camera Fusion for Knee Adduction and Knee Flexion Moment Estimation During Walking
Tian Tan, Dianxin Wang, Peter B. Shull, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1445-1455
Closed Access | Times Cited: 21
Prediction of human walking vertical load based on markerless human gait capture using multi-view cameras and LSTM network
Huiqi Liang, Wenbo Xie, Yijing Lu, et al.
Engineering Structures (2025) Vol. 334, pp. 120228-120228
Closed Access
Prediction of human-induced structural vibration based on multi-view and markerless human gait capture and BiLSTM network
Huiqi Liang, Wenbo Xie, Yijing Lu, et al.
Measurement (2025), pp. 117734-117734
Closed Access
Achilles Tendon Loading during Running Estimated via Shear Wave Tensiometry: A Step Towards Wearable Kinetic Analysis
Alex J. Reiter, Jack A. Martin, Keith A. Knurr, et al.
Medicine & Science in Sports & Exercise (2024) Vol. 56, Iss. 6, pp. 1077-1084
Closed Access | Times Cited: 3
Estimation of Kinetics Using IMUs to Monitor and Aid in Clinical Decision-Making during ACL Rehabilitation: A Systematic Review
Sanchana Krishnakumar, Bert-Jan van Beijnum, C.T.M. Baten, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2163-2163
Open Access | Times Cited: 3
Fusion of Wearable Kinetic and Kinematic Sensors to Estimate Triceps Surae Work during Outdoor Locomotion on Slopes
Sara E. Harper, Dylan G. Schmitz, Peter G. Adamczyk, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1589-1589
Open Access | Times Cited: 13
Foot2hip: A Deep Neural Network Model for Predicting Lower Limb Kinematics From Foot Measurements
Rishabh Bajpai, Deepak Joshi
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 4, pp. 2248-2258
Open Access | Times Cited: 8
Wearable sensing for understanding and influencing human movement in ecological contexts
Peter G. Adamczyk, Sara E. Harper, Alex J. Reiter, et al.
Current Opinion in Biomedical Engineering (2023) Vol. 28, pp. 100492-100492
Open Access | Times Cited: 8
Smooth and accurate predictions of joint contact force time-series in gait using over parameterised deep neural networks
Bernard X. W. Liew, David Rügamer, Qichang Mei, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 6
Deep-learning model for the prediction of lower-limb joint moments using single inertial measurement unit during different locomotive activities
Wenqi Liang, Fanjie Wang, Ao Fan, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105372-105372
Closed Access | Times Cited: 5
Predicting vertical ground reaction forces from 3D accelerometry using reservoir computers leads to accurate gait event detection
Margit M. Bach, Nadia Dominici, Andreas Daffertshofer
Frontiers in Sports and Active Living (2022) Vol. 4
Open Access | Times Cited: 8
Joint Torque Prediction via Hybrid Neuromusculoskeletal Modelling during Gait Using Statistical Ground Reaction Estimates: An Exploratory Study
Shui Kan Lam, Ivan Vujaklija
Sensors (2021) Vol. 21, Iss. 19, pp. 6597-6597
Open Access | Times Cited: 10
The Role of Kinematics in Sports Injury Rehabilitation.
Qiong Li, Duo Xiao
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Fall-risk assessment of aged workers using wearable inertial measurement units based on machine learning
Junhui Kou, Xin Xu, Xiaoyang Ni, et al.
Safety Science (2024) Vol. 176, pp. 106551-106551
Closed Access | Times Cited: 1
Errors in Estimating Lower-Limb Joint Angles and Moments during Walking Based on Pelvic Accelerations: Influence of Virtual Inertial Measurement Unit’s Frontal Plane Misalignment
Takuma Inai, Yoshiyuki Kobayashi, Motoki Sudo, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5096-5096
Open Access | Times Cited: 1
Wearable Technologies in Rehabilitation
Rüstem Mustafaoğlu
(2024), pp. 231-250
Closed Access | Times Cited: 1
The Use of Wearable Sensors and Machine Learning Methods to Estimate Biomechanical Characteristics During Standing Posture or Locomotion: A Systematic Review
Isabelle J. Museck, Daniel L. Brinton, Jesse C. Dean
Sensors (2024) Vol. 24, Iss. 22, pp. 7280-7280
Open Access | Times Cited: 1
Robust Gait Event Detection Based on the Kinematic Characteristics of a Single Lower Extremity
Gwang Tae Kim, Myunghyun Lee, Yongcheol Kim, et al.
International Journal of Precision Engineering and Manufacturing (2023) Vol. 24, Iss. 6, pp. 987-1000
Closed Access | Times Cited: 3
Predicting vertical ground reaction force in rearfoot running: A wavelet neural network model and factor loading
Dongmei Wang, Shangxiao Li, Qipeng Song, et al.
Journal of Sports Sciences (2023) Vol. 41, Iss. 10, pp. 955-963
Closed Access | Times Cited: 3
Visualisation of running form changes measured by wearable sensors for conditioning management, an application of the Functional Data Analysis
Hirofumi Doi, Hidetoshi Matsui, Daisuke Nishioka, et al.
Research Square (Research Square) (2024)
Open Access
Motion Analysis in Neurological Rehabilitation: From the Lab to the Clinic
Renato Baptista, Bernard X. W. Liew, Serena Pizzocaro, et al.
Springer eBooks (2024), pp. 121-163
Closed Access
Utilizing Inertial Measurement Units for Detecting Dynamic Stability Variations in a Multi-Condition Gait Experiment
Yasuhiro Akiyama, Kyogo Kazumura, Shogo Okamoto, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 7044-7044
Open Access
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