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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:

A computerized method to assess Parkinson’s disease severity from gait variability based on gender
İsmail Cantürk
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102497-102497
Closed Access | Times Cited: 10

Showing 10 citing articles:

Parkinson’s disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN–LSTM network
B. Vidya, P. Sasikumar
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105099-105099
Closed Access | Times Cited: 41
Investigation of Scalograms with a Deep Feature Fusion Approach for Detection of Parkinson’s Disease
İsmail Cantürk, Osman Günay
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1198-1209
Open Access | Times Cited: 9
Parkinson’s disease diagnosis using neural networks: Survey and comprehensive evaluation
M. Tanveer, Ashraf Haroon Rashid, Rahul Kumar, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102909-102909
Closed Access | Times Cited: 26
Investigating the impact of feature extraction methods on prediction accuracy of neurological recovery levels in comatose patients post-cardiac arrest
Şenol Çelik, Semiha Sude Özgüzel, İsmail Cantürk
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-16
Closed Access
An efficient Parkinson's disease detection using smoothed pseudo-Wigner Ville distribution and MobileNetV2 convolutional neural network
Amaladass P. Klinton, Priya S. Jeba, S. Thomas George, et al.
Health and Technology (2025)
Closed Access
Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains
Suman Bhakar, Deepak Sinwar, Nitesh Pradhan, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1212-1212
Open Access | Times Cited: 8
A Deep Feature Driven Expert System to Estimate the Postmortem Interval From Corneal Opacity Development
İsmail Cantürk, Lale Özyılmaz
Expert Systems (2024)
Closed Access | Times Cited: 2
Severity Prediction over Parkinson’s Disease Prediction by Using the Deep Brooke Inception Net Classifier
R. Sarankumar, D. S. Vinod, K. Anitha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 9
Integrated Equipment for Parkinson’s Disease Early Detection Using Graph Convolution Network
Yefei He, Tao Yang, Cheng Yang, et al.
Electronics (2022) Vol. 11, Iss. 7, pp. 1154-1154
Open Access | Times Cited: 6
Twin-tower transformer network for skeleton-based Parkinson’s disease early detection
Lan Ma, Hua Huo, Wei Liu, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 6745-6765
Open Access
Prediction of Schizophrenia Using Feature Extraction Methods with EEG Data
Osman Küçük, İsmail Cantürk
Orclever Proceedings of Research and Development (2024) Vol. 5, Iss. 1, pp. 210-214
Closed Access
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