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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:

Early diagnosis of Parkinson’s disease based on non-motor symptoms: a descriptive and factor analysis
Harisudha Kuresan, Samiappan Dhanalakshmi, Senjuti Ghosh, et al.
Journal of Ambient Intelligence and Humanized Computing (2021)
Closed Access | Times Cited: 19

Showing 19 citing articles:

A generic optimization and learning framework for Parkinson disease via speech and handwritten records
Nada R. Yousif, Hossam Magdy Balaha, Amira Y. Haikal, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 8, pp. 10673-10693
Open Access | Times Cited: 42
A novel deep dual self-attention and Bi-LSTM fusion framework for Parkinson’s disease prediction using freezing of gait: a biometric application
Zeeshan Habib, Muhammad Ali Mughal, Muhammad Attique Khan, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 80179-80200
Closed Access | Times Cited: 13
Soft Attention Based DenseNet Model for Parkinson’s Disease Classification Using SPECT Images
Mahima Thakur, Harisudha Kuresan, Samiappan Dhanalakshmi, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 27
Automated restricted Boltzmann machine classifier for early diagnosis of Parkinson’s disease using digitized spiral drawings
Mahima Thakur, Samiappan Dhanalakshmi, Harisudha Kuresan, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 1, pp. 175-189
Closed Access | Times Cited: 26
A Review on Explainable Machine Learning-Driven Systems to Detect Parkinson's Disease from Speech Signals
Marianne Lyne Manaog, Luca Parisi
(2025)
Closed Access
Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review
Katie Bounsall, Madison Milne‐Ives, Andrew Hall, et al.
JMIR Research Protocols (2023) Vol. 12, pp. e46581-e46581
Open Access | Times Cited: 11
Enhancing Parkinson’s disease identification using ensemble classifier and data augmentation techniques in machine learning
Mohammed Muzaffar Hussain, D. Weslin, Sunita Kumari, et al.
Clinical eHealth (2023) Vol. 6, pp. 150-158
Open Access | Times Cited: 5
Noise reduction in speech signal of Parkinson’s Disease (PD) patients using optimal variable stage cascaded adaptive filter configuration
S. Hannah Pauline, Samiappan Dhanalakshmi, R. Kumar, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103802-103802
Closed Access | Times Cited: 6
A review of emergent intelligent systems for the detection of Parkinson’s disease
Samiappan Dhanalakshmi, Ramesh Sai Maanasaa, Ramesh Sai Maalikaa, et al.
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 591-612
Open Access | Times Cited: 3
A low-cost automatic switched adaptive filtering technique for denoising impaired speech signals
S. Hannah Pauline, Samiappan Dhanalakshmi
Multidimensional Systems and Signal Processing (2022) Vol. 33, Iss. 4, pp. 1387-1408
Closed Access | Times Cited: 5
Wearable Walking Assistant for Freezing of Gait With Environmental IoT Monitoring: A Contribution to the Discussion
Rafael A. Bernardes, Filipa Ventura, Hugo Neves, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 4
Multistage Switched Adaptive Filtering Approach for Denoising Speech Signals of Parkinson’s Disease-affected Patients
S. Hannah Pauline, Samiappan Dhanalakshmi, R. Kumar, et al.
Circuits Systems and Signal Processing (2022) Vol. 42, Iss. 4, pp. 2259-2282
Closed Access | Times Cited: 2
Nanocarriers-based noninvasive approaches for dementia
Priyanka Kumari, Rusham Das, Amit K. Goyal
Elsevier eBooks (2022), pp. 235-264
Closed Access | Times Cited: 1
Regularization based discriminative feature pattern selection for the classification of Parkinson cases using machine learning
Kamalakannan Kaliyan, Anandharaj Ganesan
Bio-Algorithms and Med-Systems (2021) Vol. 17, Iss. 3, pp. 181-189
Closed Access | Times Cited: 1
Extensive Analysis of Global Presidents’ Speeches Using Natural Language
S. Nivash, E. N. Ganesh, K. Harisudha, et al.
Advances in intelligent systems and computing (2021), pp. 829-850
Closed Access | Times Cited: 1
Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review (Preprint)
Katie Bounsall, Madison Milne‐Ives, Andrew Hall, et al.
(2023)
Open Access
COVID-19 Detection from Pulmonary CT Images using Neural Networks based on Dropout-Driven Hidden Layers
S. Vineth Ligi, R. Kumar, Samiappan Dhanalakshmi
(2023), pp. 310-316
Closed Access
A comparitive analysis on various machine learning techniques for breast cancer detection
P Dedeepya, Abel Jaba Deva Krupa, Samiappan Dhanalakshmi
(2023), pp. 460-465
Closed Access
An Approach to Detect Parkinson’s Disease Employing Pre-trained Deep Neural Network on Hypokinetic Dysarthria Symptoms
Samiappan Dhanalakshmi, Harisudha Kuresan, Arathy Jeevan, et al.
Research Square (Research Square) (2022)
Open Access
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