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:
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
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
Showing 1-25 of 69 citing articles:
Modern Methods of Diagnostics and Treatment of Neurodegenerative Diseases and Depression
Natalia Shusharina, Denis Yukhnenko, Stepan Botman, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 573-573
Open Access | Times Cited: 56
Natalia Shusharina, Denis Yukhnenko, Stepan Botman, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 573-573
Open Access | Times Cited: 56
New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease
Rohan Gupta, Smita Kumari, Anusha Senapati, et al.
Ageing Research Reviews (2023) Vol. 90, pp. 102013-102013
Closed Access | Times Cited: 54
Rohan Gupta, Smita Kumari, Anusha Senapati, et al.
Ageing Research Reviews (2023) Vol. 90, pp. 102013-102013
Closed Access | Times Cited: 54
Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction
Biao Chen, Chaoyang Chen, Jie Hu, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7960-7960
Open Access | Times Cited: 47
Biao Chen, Chaoyang Chen, Jie Hu, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7960-7960
Open Access | Times Cited: 47
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: 11
Dante Trabassi, Stefano Filippo Castiglia, Fabiano Bini, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3613-3613
Open Access | Times Cited: 11
Machine learning for early detection and severity classification in people with Parkinson’s disease
Juseon Hwang, Changhong Youm, Hwayoung Park, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Juseon Hwang, Changhong Youm, Hwayoung Park, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Identification of a Gait Pattern for Detecting Mild Cognitive Impairment in Parkinson’s Disease
Michela Russo, Marianna Amboni, Paolo Barone, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1985-1985
Open Access | Times Cited: 20
Michela Russo, Marianna Amboni, Paolo Barone, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1985-1985
Open Access | Times Cited: 20
A comparative study: prediction of parkinson’s disease using machine learning, deep learning and nature inspired algorithm
Pankaj Kumar Keserwani, Suman R. Das, Nairita Sarkar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69393-69441
Closed Access | Times Cited: 7
Pankaj Kumar Keserwani, Suman R. Das, Nairita Sarkar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69393-69441
Closed Access | Times Cited: 7
Kinematic Analysis of Human Gait in Healthy Young Adults Using IMU Sensors: Exploring Relevant Machine Learning Features for Clinical Applications
Xavier Marimon, Itziar Mengual, Carlos López‐de‐Celis, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 105-105
Open Access | Times Cited: 6
Xavier Marimon, Itziar Mengual, Carlos López‐de‐Celis, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 105-105
Open Access | Times Cited: 6
Artificial Intelligence Model for Parkinson Disease Detection Using Machine Learning Algorithms
Sunil Kumar Yadav, Munindra Kumar Singh, Saurabh Pal
Deleted Journal (2023) Vol. 1, Iss. 2, pp. 899-911
Open Access | Times Cited: 13
Sunil Kumar Yadav, Munindra Kumar Singh, Saurabh Pal
Deleted Journal (2023) Vol. 1, Iss. 2, pp. 899-911
Open Access | Times Cited: 13
Neurophysiology of cerebellar ataxias and gait disorders
Mario Manto, Mariano Serrao, Stefano Filippo Castiglia, et al.
Clinical Neurophysiology Practice (2023) Vol. 8, pp. 143-160
Open Access | Times Cited: 13
Mario Manto, Mariano Serrao, Stefano Filippo Castiglia, et al.
Clinical Neurophysiology Practice (2023) Vol. 8, pp. 143-160
Open Access | Times Cited: 13
Parkinson's severity diagnosis explainable model based on 3D multi-head attention residual network
Jiehui Huang, Lishan Lin, Fengcheng Yu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107959-107959
Closed Access | Times Cited: 4
Jiehui Huang, Lishan Lin, Fengcheng Yu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107959-107959
Closed Access | Times Cited: 4
Kinematic and Kinetic Gait Features Associated With Mild Cognitive Impairment in Parkinson’s Disease
Michela Russo, Marianna Amboni, Antonio Volzone, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2676-2687
Open Access | Times Cited: 4
Michela Russo, Marianna Amboni, Antonio Volzone, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2676-2687
Open Access | Times Cited: 4
Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson’s Disease
Rana M. Khalil, Lisa Shulman, Ann L. Gruber‐Baldini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4983-4983
Open Access | Times Cited: 4
Rana M. Khalil, Lisa Shulman, Ann L. Gruber‐Baldini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4983-4983
Open Access | Times Cited: 4
Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning
Navita, Pooja Mittal, Yogesh Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Navita, Pooja Mittal, Yogesh Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Computational intelligence for data analysis in pattern recognition and biomedical fields
Sudha Senthilkumar, Vaishnavi Munusamy
Elsevier eBooks (2025), pp. 107-132
Closed Access
Sudha Senthilkumar, Vaishnavi Munusamy
Elsevier eBooks (2025), pp. 107-132
Closed Access
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao, et al.
Neurocomputing (2025), pp. 129533-129533
Closed Access
Haocong Rao, Minlin Zeng, Xuejiao Zhao, et al.
Neurocomputing (2025), pp. 129533-129533
Closed Access
Psychological and physiological computing based on multi-dimensional foot information
Shengyang Li, Huilin Yao, Ruotian Peng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Shengyang Li, Huilin Yao, Ruotian Peng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Testing Machine Learning Algorithms to Evaluate Fluctuating and Cognitive Profiles in Parkinson’s Disease by Motion Sensors and EEG Data
Giovanni Mostile, Salvatore Quattropani, Federico Contrafatto, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 778-784
Open Access
Giovanni Mostile, Salvatore Quattropani, Federico Contrafatto, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 778-784
Open Access
Gait analysis in mixed reality for Parkinson’s disease assessment
Daria Hemmerling, M. Kaczmarska, Bartłomiej Krawczyk, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107659-107659
Closed Access
Daria Hemmerling, M. Kaczmarska, Bartłomiej Krawczyk, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107659-107659
Closed Access
Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models
Artem Obukhov, Denis Dedov, Andrey Volkov, et al.
Technologies (2025) Vol. 13, Iss. 3, pp. 101-101
Open Access
Artem Obukhov, Denis Dedov, Andrey Volkov, et al.
Technologies (2025) Vol. 13, Iss. 3, pp. 101-101
Open Access
Test-Retest Reliability and Minimal Detectable Changes for Wearable Sensor-Derived Gait Stability, Symmetry, and Smoothness in Individuals with Severe Traumatic Brain Injury
Fulvio Dal Farra, Stefano Filippo Castiglia, Maria Gabriella Buzzi, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1764-1764
Open Access
Fulvio Dal Farra, Stefano Filippo Castiglia, Maria Gabriella Buzzi, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1764-1764
Open Access
Artificial Intelligence in the Diagnosis of Neurological Diseases Using Biomechanical and Gait Analysis Data: A Scopus-Based Bibliometric Analysis
Aikaterini A. Tsiara, Spyridon Plakias, Christos Kokkotis, et al.
Neurology International (2025) Vol. 17, Iss. 3, pp. 45-45
Open Access
Aikaterini A. Tsiara, Spyridon Plakias, Christos Kokkotis, et al.
Neurology International (2025) Vol. 17, Iss. 3, pp. 45-45
Open Access
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease
Stefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4983-4983
Open Access | Times Cited: 10
Stefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4983-4983
Open Access | Times Cited: 10
Wearable multisource quantitative gait analysis of Parkinson's diseases
Junxiao Xie, Huan Zhao, Junyi Cao, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107270-107270
Closed Access | Times Cited: 10
Junxiao Xie, Huan Zhao, Junyi Cao, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107270-107270
Closed Access | Times Cited: 10
Predicting Gait Parameters of Leg Movement with sEMG and Accelerometer Using CatBoost Machine Learning
Alok Kumar Sharma, Shing-Hong Liu, Xin Zhu, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1791-1791
Open Access | Times Cited: 3
Alok Kumar Sharma, Shing-Hong Liu, Xin Zhu, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1791-1791
Open Access | Times Cited: 3
