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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:

Diagnosis of Parkinson’s disease using Gait Dynamics and Images
R. S. Nancy Noella, Divyansh Gupta, J. Priyadarshini
Procedia Computer Science (2019) Vol. 165, pp. 428-434
Open Access | Times Cited: 17

Showing 17 citing articles:

Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 42
A Systematic Review of Artificial Intelligence (AI) Based Approaches for the Diagnosis of Parkinson’s Disease
S. Saravanan, K. Ramkumar, K. Adalarasu, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3639-3653
Closed Access | Times Cited: 50
Machine Learning Algorithm for Gait Analysis and Classification on Early Detection of Parkinson
Rami Alkhatib, Mohamad O. Diab, Christophe Corbier, et al.
IEEE Sensors Letters (2020) Vol. 4, Iss. 6, pp. 1-4
Closed Access | Times Cited: 51
Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions
Wei Huang, Wenqiang Xu, Renjie Wan, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2547-2557
Closed Access | Times Cited: 12
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review
Guan Huang, Renjie Li, Quan Bai, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 11
Inter-limb time-varying singular value: A new gait feature for Parkinson’s disease detection and stage classification
Peyvand Ghaderyan, Gisoo Fathi
Measurement (2021) Vol. 177, pp. 109249-109249
Closed Access | Times Cited: 19
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Sheerin Zadoo, Yashwant Singh, Pradeep Kumar Singh
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Diagnosis of Alzheimer’s, Parkinson’s disease and frontotemporal dementia using a generative adversarial deep convolutional neural network
R. S. Nancy Noella, J. Priyadarshini
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2845-2854
Closed Access | Times Cited: 11
Vision-based gait analysis for real-time Parkinson disease identification and diagnosis system
Sathya Bama B, Bevish Jinila Y
Health Systems (2022) Vol. 13, Iss. 1, pp. 62-72
Closed Access | Times Cited: 5
Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation
Wei Huang, Yintao Zhou, Yiu‐ming Cheung, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 7037-7050
Closed Access | Times Cited: 4
RETRACTED ARTICLE: Diagnosis of Dementia Using a Generative Deep Convolution Neural Network
R. S. Nancy Noella, J. Priyadarshini
Arabian Journal for Science and Engineering (2021) Vol. 48, Iss. 4, pp. 5685-5685
Closed Access | Times Cited: 4
An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy
Minh Tai Pham Nguyen, Minh Tran, Tadashi Nakano, et al.
Information (2024) Vol. 16, Iss. 1, pp. 1-1
Open Access
Transforming Healthcare: Harnessing the Power of Machine Learning for Disease Diagnosis and Management
Ashutosh Srivastava, Akash Ranjan Singh, Pushpendra Singh, et al.
(2024), pp. 1421-1426
Closed Access
Optimizing Parkinson's Disease Classification and Severity Assessment Using Dense Multiscale Sample Entropy and Hybrid Feature Selection
Quoc Duy Nam Nguyen, Thi Hong Tran, Tadashi Nakano
(2023), pp. 64-69
Closed Access | Times Cited: 1
A Novel Face-based Approach for the Early Diagnosis of Parkinson’s Disease
C. Hu, Peng Zhang, Wei Huang
(2021)
Closed Access | Times Cited: 3
Attention-Based Deep Learning Model for Early Detection of Parkinson's Disease
Mohd Sadiq, Mohd Tauheed Khan, Sarfaraz Masood
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 71, Iss. 3, pp. 5183-5200
Open Access | Times Cited: 1
Parkinson\'s Disease Detection Using Deep Learning Technique
I Kalaiyarasi., P. Amudha, S. Sivakumari
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 5, pp. 1789-1796
Open Access
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