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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:

Analysis of Big Data in Gait Biomechanics: Current Trends and Future Directions
Angkoon Phinyomark, Giovanni Petri, Esther Ibáñez‐Marcelo, et al.
Journal of Medical and Biological Engineering (2017) Vol. 38, Iss. 2, pp. 244-260
Open Access | Times Cited: 150

Showing 1-25 of 150 citing articles:

Towards Explainable Artificial Intelligence
Wojciech Samek, Klaus‐Robert Müller
Lecture notes in computer science (2019), pp. 5-22
Closed Access | Times Cited: 436
The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control
Christopher Buckley, Lisa Alcock, Ríona Mc Ardle, et al.
Brain Sciences (2019) Vol. 9, Iss. 2, pp. 34-34
Open Access | Times Cited: 157
Human Gait Analysis in Neurodegenerative Diseases: A Review
Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 229-242
Open Access | Times Cited: 130
Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability
Jinjiang Wang, Yilin Li, Robert X. Gao, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 381-391
Closed Access | Times Cited: 99
Explaining the differences of gait patterns between high and low-mileage runners with machine learning
Datao Xu, Wenjing Quan, Huiyu Zhou, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 98
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
A new method proposed for realizing human gait pattern recognition: Inspirations for the application of sports and clinical gait analysis
Datao Xu, Huiyu Zhou, Wenjing Quan, et al.
Gait & Posture (2023) Vol. 107, pp. 293-305
Closed Access | Times Cited: 57
Explaining the unique nature of individual gait patterns with deep learning
Fabian Horst, Sebastian Lapuschkin, Wojciech Samek, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 142
Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning
Anat Mirelman, Mor Ben Or Frank, Michal L. Melamed, et al.
Movement Disorders (2021) Vol. 36, Iss. 9, pp. 2144-2155
Closed Access | Times Cited: 59
Estimation of kinematics from inertial measurement units using a combined deep learning and optimization framework
Eric Rapp, Soyong Shin, W Thomsen, et al.
Journal of Biomechanics (2021) Vol. 116, pp. 110229-110229
Open Access | Times Cited: 57
Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia
Dante Trabassi, Stefano Filippo Castiglia, Fabiano Bini, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3613-3613
Open Access | Times Cited: 8
Navigating features: a topologically informed chart of electromyographic features space
Angkoon Phinyomark, Rami N. Khushaba, Esther Ibáñez‐Marcelo, et al.
Journal of The Royal Society Interface (2017) Vol. 14, Iss. 137, pp. 20170734-20170734
Open Access | Times Cited: 65
Runners’ Perspectives on ‘Smart’ Wearable Technology and Its Use for Preventing Injury
Christian A. Clermont, Linda Duffett‐Leger, Blayne A. Hettinga, et al.
International Journal of Human-Computer Interaction (2019) Vol. 36, Iss. 1, pp. 31-40
Closed Access | Times Cited: 62
Time series classification using a modified LSTM approach from accelerometer-based data: A comparative study for gait cycle detection
Hui Xing Tan, Nway Nway Aung, Jing Tian, et al.
Gait & Posture (2019) Vol. 74, pp. 128-134
Closed Access | Times Cited: 59
Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty
Carlo Dindorf, Wolfgang Teufl, Bertram Taetz, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4385-4385
Open Access | Times Cited: 58
The detection of age groups by dynamic gait outcomes using machine learning approaches
Yuhan Zhou, Robbin Romijnders, Clint Hansen, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 57
A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns
Susanne Jauhiainen, Andrew J. Pohl, Sami Äyrämö, et al.
Scandinavian Journal of Medicine and Science in Sports (2020) Vol. 30, Iss. 4, pp. 732-740
Closed Access | Times Cited: 50
Explaining Machine Learning Models for Clinical Gait Analysis
Djordje Slijepčević, Fabian Horst, Sebastian Lapuschkin, et al.
ACM Transactions on Computing for Healthcare (2021) Vol. 3, Iss. 2, pp. 1-27
Open Access | Times Cited: 44
Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review
Carlo Dindorf, Eva Bartaguiz, Freya Gassmann, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 20, Iss. 1, pp. 173-173
Open Access | Times Cited: 33
A systematic literature review of computer vision-based biomechanical models for physical workload estimation
Darlington Egeonu, Bochen Jia
Ergonomics (2024), pp. 1-24
Closed Access | Times Cited: 5
Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability
Federico Roggio, Sarah Di Grande, Salvatore Cavalieri, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2929-2929
Open Access | Times Cited: 5
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions
Nizam Uddin Ahamed, Dylan Kobsar, Lauren C. Benson, et al.
PLoS ONE (2018) Vol. 13, Iss. 9, pp. e0203839-e0203839
Open Access | Times Cited: 55
A kinematic and kinetic dataset of 18 above-knee amputees walking at various speeds
Sarah Hood, Marshall K. Ishmael, Andrew J. Gunnell, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 49
Knee Joint Biomechanical Gait Data Classification for Knee Pathology Assessment: A Literature Review
Mariem Abid, Neila Mezghani, Amar Mitiche
Applied Bionics and Biomechanics (2019) Vol. 2019, pp. 1-14
Open Access | Times Cited: 46
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning
Johannes Burdack, Fabian Horst, Sven Giesselbach, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 46
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