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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 Multi-model Framework for Evaluating Type of Speech Samples having Complementary Information about Parkinson's Disease
Liaqat Ali, Shafqat Ullah Khan, Muhammad Sufyan Arshad, et al.
2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (2019)
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Ashir Javeed, Ana Luiza Dallora, Johan Berglund, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 85
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Liaqat Ali, Iram Wajahat, Noorbakhsh Amiri Golilarz, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 7, pp. 2783-2792
Closed Access | Times Cited: 99
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions
Ashir Javeed, Shafqat Ullah Khan, Liaqat Ali, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-30
Open Access | Times Cited: 63
An Approach Based on Mutually Informed Neural Networks to Optimize the Generalization Capabilities of Decision Support Systems Developed for Heart Failure Prediction
Liaqat Ali, Syed Ahmad Chan Bukhari
IRBM (2020) Vol. 42, Iss. 5, pp. 345-352
Closed Access | Times Cited: 59
Voice Biomarkers for Parkinson's Disease Prediction Using Machine Learning Models with Improved Feature Reduction Techniques
Nalini Chintalapudi, Venkata Rao Dhulipalla, Gopi Battineni, et al.
Journal of Data Science and Intelligent Systems (2023) Vol. 1, Iss. 2, pp. 92-98
Open Access | Times Cited: 19
Performance Analysis of PCA, Sparse PCA, Kernel PCA and Incremental PCA Algorithms for Heart Failure Prediction
Atiq‐ur Rehman, Irfan Ullah Khan, Muhammad Ali, et al.
2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (2020), pp. 1-5
Closed Access | Times Cited: 43
Review of automated emotion-based quantification of facial expression in Parkinson’s patients
Bhakti Sonawane, Priyanka Sharma
The Visual Computer (2020) Vol. 37, Iss. 5, pp. 1151-1167
Closed Access | Times Cited: 42
Parkinson’s Disease Diagnosis in Cepstral Domain Using MFCC and Dimensionality Reduction with SVM Classifier
Atiqur Rahman, Sanam Shahla Rizvi, Irfan Ullah Khan, et al.
Mobile Information Systems (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 40
A significantly enhanced neural network for handwriting assessment in Parkinson’s disease detection
Aite Zhao, Jianbo Li
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 38297-38317
Closed Access | Times Cited: 13
Voice-AttentionNet: Voice-Based Multi-Disease Detection with Lightweight Attention-Based Temporal Convolutional Neural Network
Jintao Wang, Jianhang Zhou, Bob Zhang
AI (2025) Vol. 6, Iss. 4, pp. 68-68
Open Access
An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal
Hadaate Ullah, Md Belal Bin Heyat, Hussain AlSalman, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 21
A Clinical Decision Support System (CDSS) for Unbiased Prediction of Caesarean Section Based on Features Extraction and Optimized Classification
Ashir Javeed, Liaqat Ali, Abegaz Mohammed Seid, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 19
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
Speech processing for early Parkinson’s disease diagnosis: machine learning and deep learning-based approach
Rania Khaskhoussy, Yassine Ben Ayed
Social Network Analysis and Mining (2022) Vol. 12, Iss. 1
Closed Access | Times Cited: 18
Risk Factors Identification of Malignant Mesothelioma: A Data Mining Based Approach
Muhammad Zohaib Latif, Kamran Shaukat, Suhuai Luo, et al.
2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (2020), pp. 1-6
Closed Access | Times Cited: 25
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
Harnessing Voice Analysis and Machine Learning for Early Diagnosis of Parkinson's Disease: A Comparative Study Across Three Datasets
Osmar Pinto Neto
Journal of Voice (2024)
Open Access | Times Cited: 2
Feature selection and risk prediction for patients with coronary artery disease using data mining
Nashreen Md Idris, Yin Kia Chiam, Kasturi Dewi Varathan, et al.
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 12, pp. 3123-3140
Closed Access | Times Cited: 18
An Intelligent Approach based on the Combination of the Discrete Wavelet Transform, Delta Delta MFCC for Parkinson's Disease Diagnosis
BOUALOULOU Nouhaila, Taoufiq Belhoussine Drissi, Benayad Nsiri
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 4
Open Access | Times Cited: 11
A Spatio-Temporal Siamese Neural Network for Multimodal Handwriting Abnormality Screening of Parkinson’s Disease
Aite Zhao, Huimin Wu, Ming Chen, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 6
PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick Approach
Mustaqeem Khan, Ufaq Khan, Alice Othmani
(2023), pp. 382-385
Closed Access | Times Cited: 5
Design and Implementation of an Intelligent Hybrid Assessment Framework for Supplier Risk
Zhang Haibo, Xi Yang
(2024)
Open Access | Times Cited: 1
A novel technique for classifying Parkinson’s disease using structural MRI scans
Ketna Khanna, Sapna Gambhir, Mohit Gambhir
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 46011-46036
Closed Access | Times Cited: 3
Identifying Parkinson’s Disease in it’s Primitive Phase using Vocal Characteristics
Polukonda Mary Kamala Kumari, Sirikonda Geethika Spoorthy, Illuru Hepsebha, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access
Design and Implementation of an AI-Driven Hybrid Framework for Risk Assessment
Haibo Zhang, Xi Yang
(2024), pp. 1454-1461
Closed Access
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