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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.

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Showing 1-25 of 44 citing articles:

Chronic Kidney Disease analysis using data mining classification techniques
Veenita Kunwar, Khushboo Chandel, A. Sai Sabitha, et al.
(2016)
Closed Access | Times Cited: 129
Data-Driven Based Approach to Aid Parkinson’s Disease Diagnosis
Nicolas Khoury, Ferhat Attal, Yacine Amirat, et al.
Sensors (2019) Vol. 19, Iss. 2, pp. 242-242
Open Access | Times Cited: 91
PSO-ANN based diagnostic model for the early detection of dengue disease
Shalini Gambhir, Sanjay Kumar Malik, Yugal Kumar
New Horizons in Translational Medicine (2017) Vol. 4, Iss. 1-4, pp. 1-8
Closed Access | Times Cited: 83
Using gait analysis’ parameters to classify Parkinsonism: A data mining approach
Carlo Ricciardi, Marianna Amboni, Chiara De Santis, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 180, pp. 105033-105033
Closed Access | Times Cited: 67
Remote tracking of Parkinson's Disease progression using ensembles of Deep Belief Network and Self-Organizing Map
Mehrbakhsh Nilashi, Hossein Ahmadi, Abbas Sheikhtaheri, et al.
Expert Systems with Applications (2020) Vol. 159, pp. 113562-113562
Closed Access | Times Cited: 62
CROWD: Crow Search and Deep Learning based Feature Extractor for Classification of Parkinson’s Disease
Mehedi Masud, Parminder Singh, Gurjot Singh Gaba, et al.
ACM Transactions on Internet Technology (2021) Vol. 21, Iss. 3, pp. 1-18
Closed Access | Times Cited: 38
Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification
Mostafa Ghane, Mei Choo Ang, Mehrbakhsh Nilashi, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 902-920
Closed Access | Times Cited: 27
FOG Grounded Observing Scheme for E-Healthcare Based Stroke Estimation and Alert Message in IoT Environment
Sakshi Pandey, Rahul Mishra
Communications in computer and information science (2025), pp. 376-386
Closed Access
Early diagnosis of Parkinson’s disease: A combined method using deep learning and neuro-fuzzy techniques
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Salma Yasmin Mohd Yusuf, et al.
Computational Biology and Chemistry (2022) Vol. 102, pp. 107788-107788
Closed Access | Times Cited: 21
The Diagnosis of Dengue Disease
Shalini Gambhir, Sanjay Kumar Malik, Yugal Kumar
International Journal of Healthcare Information Systems and Informatics (2018) Vol. 13, Iss. 3, pp. 1-19
Closed Access | Times Cited: 34
Comparative analysis of classification algorithms for chronic kidney disease diagnosis
Mohd Zainuri Saringat, Aida Mustapha, Rd. Rohmat Saedudin, et al.
Bulletin of Electrical Engineering and Informatics (2019) Vol. 8, Iss. 4
Open Access | Times Cited: 31
Parkinson's disease patients classification based on the speech signals
Michal Vadovský, Ján Paralič
(2017), pp. 000321-000326
Closed Access | Times Cited: 29
Predicting MIRA Patients’ Performance Using Virtual Rehabilitation Programme by Decision Tree Modelling
Nurezayana Zainal, Ismail Ahmed Al-Qasem Al-Hadi, Safwan M. Ghaleb, et al.
Studies in systems, decision and control (2020), pp. 451-462
Closed Access | Times Cited: 21
Artificial Intelligence Project Success Factors—Beyond the Ethical Principles
Gloria J. Miller
Lecture notes in business information processing (2022), pp. 65-96
Open Access | Times Cited: 13
Bidirectional General Graphs for inference. Principles and implications for medicine
Barry Robson
Computers in Biology and Medicine (2019) Vol. 108, pp. 382-399
Closed Access | Times Cited: 17
Parkinson’s Brain Disease Prediction Using Big Data Analytics
N. Shamli, Sathiyabhama Balasubramaniam
International Journal of Information Technology and Computer Science (2016) Vol. 8, Iss. 6, pp. 73-84
Open Access | Times Cited: 16
A deep learning approach for classification and diagnosis of Parkinson’s disease
Monika Jyotiyana, Nishtha Kesswani, Munish Kumar
Soft Computing (2022) Vol. 26, Iss. 18, pp. 9155-9165
Closed Access | Times Cited: 9
Prediction analysis for Parkinson disease using multiple feature selection & classification methods
M. Hema, R. Maheshprabhu, K. S. Reddy, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42995-43012
Closed Access | Times Cited: 5
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, et al.
Communications in computer and information science (2023), pp. 630-648
Closed Access | Times Cited: 5
Treatment Detection and Movement Disorder Society‐Unified Parkinson's Disease Rating Scale, Part III Estimation Using Finger Tapping Tasks
Ahnjili Zhuparris, Eva Thijssen, Willem O Elzinga, et al.
Movement Disorders (2023) Vol. 38, Iss. 10, pp. 1795-1805
Open Access | Times Cited: 4
Parkinson Disease Detection Using Various Machine Learning Algorithms
S Kanakaprabha, P. Arulprakash., R. Srikanth
(2022) Vol. 5411, pp. 1-6
Closed Access | Times Cited: 7
Comparison of Machine learning models for Parkinson’s Disease prediction
Tapan Kumar, Pradyumn Sharma, Nupur Prakash
(2020) Vol. 34, pp. 0195-0199
Closed Access | Times Cited: 10
A Rule-Based Monitoring System for Accurate Prediction of Diabetes
Anand Srivastava, Yugal Kumar, Pradeep Kumar Singh
International Journal of E-Health and Medical Communications (2020) Vol. 11, Iss. 3, pp. 32-53
Open Access | Times Cited: 9
Mining real-world high dimensional structured data in medicine and its use in decision support. Some different perspectives on unknowns, interdependency, and distinguishability
Barry Robson, Srinidhi Boray, Jennifer L. Weisman
Computers in Biology and Medicine (2021) Vol. 141, pp. 105118-105118
Closed Access | Times Cited: 9
A PHR-Based System for Monitoring Diabetes in Mobile Environment
Yugal Kumar, Geeta Yadav, Pradeep Kumar Singh, et al.
EAI/Springer Innovations in Communication and Computing (2018), pp. 129-144
Closed Access | Times Cited: 9
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