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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 Parkinson’s Disease Classification Method: An Approach Using Gait Dynamics and Detrended Fluctuation Analysis
Juliana Paula Félix, Flávio Henrique Teles Vieira, Álisson Assis Cardoso, et al.
(2019), pp. 1-4
Closed Access | Times Cited: 24

Showing 24 citing articles:

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
Jie Mei, Christian Desrosiers, Johannes Frasnelli
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 268
Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
Mootaz M. Salman, Zaid Al-Obaidi, Philip Kitchen, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 9, pp. 4688-4688
Open Access | Times Cited: 99
Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 2003-2003
Open Access | Times Cited: 65
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
An Efficient Machine Learning Approach for Diagnosing Parkinson’s Disease by Utilizing Voice Features
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3782-3782
Open Access | Times Cited: 28
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20034-20046
Closed Access | Times Cited: 16
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
Comparative Analysis of Conventional Machine Learning and Deep Learning Techniques for Predicting Parkinson's Disease
Monika Sethi, Vidhu Baggan
(2025), pp. 49-65
Closed Access
A new parallel-path ConvMixer neural network for predicting neurodegenerative diseases from gait analysis
Jihen Fourati, Mohamed Othmani, Khawla Ben Salah, et al.
Medical & Biological Engineering & Computing (2025)
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
An optimized RNN-LSTM approach for parkinson’s disease early detection using speech features
Hadeel Ahmed Abd El Aal, Shereen A. Taie, Nashwa El-Bendary
Bulletin of Electrical Engineering and Informatics (2021) Vol. 10, Iss. 5, pp. 2503-2512
Open Access | Times Cited: 22
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
Open Access | Times Cited: 15
Selection of Gait Parameters for Differential Diagnostics of Patients With De Novo Parkinson's Disease
Shweta Sharma, Urvi Gusain, Kanu Goyal, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 276-287
Closed Access | Times Cited: 1
Biomarkers for Detection of Parkinson’s Disease Using Machine Learning—A Short Review
Moumita Pramanik, Ratika Pradhan, Parvati Nandy
Advances in intelligent systems and computing (2020), pp. 461-475
Closed Access | Times Cited: 5
K - Nearest Neighbor Algorithm: Proposed Solution for Human Gait Data Classification
Shadi Eltanani, T. Scheper, Helen Dawes
2022 IEEE Symposium on Computers and Communications (ISCC) (2021)
Open Access | Times Cited: 4
Investigation of Machine Learning Techniques to Aid in the Diagnosis of Neurodegenerative Diseases
Juliana Paula Félix, Hugo Alexandre Dantas do Nascimento, Nilza Nascimento Guimarães
(2024), pp. 115-120
Closed Access
Recognition of Parkinson’s ailment by using various machine learning procedures
Amit Singh Rajawat, Anshika Srivastava
Current Psychology (2024) Vol. 43, Iss. 45, pp. 34579-34600
Closed Access
Parkinson’s Disease Classification Employing a Questionnaire of Non-motor Symptoms and Machine Learning Methods
Rafael Padilha, Juliana Paula Félix, Rogério Salvini
(2024), pp. 251-252
Closed Access
Machine learning for the diagnosis of Parkinson's disease: A systematic review
Jie Mei, Christian Desrosiers, Johannes Frasnelli
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2
Diagnosis of Parkinson Disorder through Speech Data
C R Chethan
International Journal for Research in Applied Science and Engineering Technology (2020) Vol. 8, Iss. 9, pp. 337-341
Open Access | Times Cited: 1
Recent Advances in Multimodal Machine Learning for Parkinson's Disease Diagnosis: A Comprehensive Review
Ishan Ayus, Chandrashekhar Azad
(2023), pp. 1-7
Closed Access
Parkinsons Disease Detection Using Machine Learning Algorithm: A Review of Literature
Md. Toukir Ahmed
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 6, pp. 3339-3344
Open Access
Weightless Neural Network and Neighborhood Rough Set for Parkinson's Detection on Gait Movement
Moumita Pramanik, Samarjeet Borah, Ratika Pradhan, et al.
SSRN Electronic Journal (2022)
Closed Access
Implementation and Evaluation of Learning Classifiers in Detecting Parkinson's Disease Using Extensive Speech Parameters
Matt Ervin G. Mital
(2021), pp. 241-246
Closed Access
Discriminação do tremor em repouso do punho entre indivíduos com e sem a doença de parkinson por meio de sensores inerciais e classificadores
Luciano Peres
(2021)
Open Access
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