
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:
Static-Dynamic Temporal Networks for Parkinson’s Disease Detection and Severity Prediction
Chenhui Dong, Ying Chen, Zhan Huan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2205-2213
Open Access | Times Cited: 9
Chenhui Dong, Ying Chen, Zhan Huan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2205-2213
Open Access | Times Cited: 9
Showing 9 citing articles:
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
Motico: An attentional mechanism network model for smart aging disease risk prediction based on image data classification
Feng Zhou, Shijing Hu, Xin Du, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108763-108763
Closed Access | Times Cited: 3
Feng Zhou, Shijing Hu, Xin Du, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108763-108763
Closed Access | Times Cited: 3
A Comprehensive Review of Deep Learning Techniques for Identifying Parkinson's Disease from Gait Analysis
S. Sasirekha
International Journal of Advanced Research in Computer Science (2024) Vol. 15, Iss. 1, pp. 14-21
Open Access
S. Sasirekha
International Journal of Advanced Research in Computer Science (2024) Vol. 15, Iss. 1, pp. 14-21
Open Access
Analysis of microstate features for Parkinson's disease based on reliability validation
Qingfang Guo, Shuo Liu, Lei Wang, et al.
Journal of Neuroscience Methods (2024) Vol. 406, pp. 110115-110115
Closed Access
Qingfang Guo, Shuo Liu, Lei Wang, et al.
Journal of Neuroscience Methods (2024) Vol. 406, pp. 110115-110115
Closed Access
Data-driven Gait based Severity Classification for Parkinson's Disease using Duo Spatiotemporal Convoluted Kernel Boosted ResNet model
Arogia Victor Paul M, Sharmila Sankar
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 4, pp. 377-386
Open Access
Arogia Victor Paul M, Sharmila Sankar
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 4, pp. 377-386
Open Access
Who has dominated information spreading on social media during the early stage of COVID-19 pandemic in China? A temporal network analysis
Xuefan Dong, Lingtao Ye, Ying Lian
International Journal of Disaster Risk Reduction (2024) Vol. 107, pp. 104493-104493
Closed Access
Xuefan Dong, Lingtao Ye, Ying Lian
International Journal of Disaster Risk Reduction (2024) Vol. 107, pp. 104493-104493
Closed Access
Developing a Hybrid Machine Learning System for Parkinson's Disease Detection Using a Combination of Freezing of Gait Video and Inertial Sensor Data
Caroline Zhou
(2024), pp. 1-6
Closed Access
Caroline Zhou
(2024), pp. 1-6
Closed Access
Glstgnn:Parkinson's Disease Assessment Using Global-Local Spatiotemporal Features from Gait Signals in the Internet of Medical Things
Chen‐Yu Huang, Zicheng Qiu, Yi Chen, et al.
(2024)
Closed Access
Chen‐Yu Huang, Zicheng Qiu, Yi Chen, et al.
(2024)
Closed Access
A Two-Stream 3D-CNN Network Based on Pressure Sensor Data and Its Application in Gait Recognition
Chunfen Hu, Zhan Huan, Chenhui Dong
Electronics (2023) Vol. 12, Iss. 18, pp. 3753-3753
Open Access | Times Cited: 1
Chunfen Hu, Zhan Huan, Chenhui Dong
Electronics (2023) Vol. 12, Iss. 18, pp. 3753-3753
Open Access | Times Cited: 1