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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 from multiple voice recordings by simultaneous sample and feature selection
Liaqat Ali, Ce Zhu, Mingyi Zhou, et al.
Expert Systems with Applications (2019) Vol. 137, pp. 22-28
Closed Access | Times Cited: 136

Showing 1-25 of 136 citing articles:

A bidirectional LSTM deep learning approach for intrusion detection
Yakubu Imrana, Yanping Xiang, Liaqat Ali, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115524-115524
Closed Access | Times Cited: 255
An Intelligent Learning System Based on Random Search Algorithm and Optimized Random Forest Model for Improved Heart Disease Detection
Ashir Javeed, Shijie Zhou, Yongjian Liao, et al.
IEEE Access (2019) Vol. 7, pp. 180235-180243
Open Access | Times Cited: 243
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network
Liaqat Ali, Ce Zhu, Zhonghao Zhang, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2019) Vol. 7, pp. 1-10
Open Access | Times Cited: 177
The Comparison of LightGBM and XGBoost Coupling Factor Analysis and Prediagnosis of Acute Liver Failure
Dongyang Zhang, Yicheng Gong
IEEE Access (2020) Vol. 8, pp. 220990-221003
Open Access | Times Cited: 138
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
Automatic and Early Detection of Parkinson’s Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method
Khaled M. Alalayah, Ebrahim Mohammed Senan, Hany F. Atlam, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1924-1924
Open Access | Times Cited: 41
Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network
Liaqat Ali, Ashir Javeed, Adeeb Noor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model
Liaqat Ali, Ce Zhu, Noorbakhsh Amiri Golilarz, et al.
IEEE Access (2019) Vol. 7, pp. 116480-116489
Open Access | Times Cited: 102
A study on credit scoring modeling with different feature selection and machine learning approaches
Shrawan Kumar Trivedi
Technology in Society (2020) Vol. 63, pp. 101413-101413
Closed Access | Times Cited: 96
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification
Hakan Gündüz
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102452-102452
Closed Access | Times Cited: 89
An Optimally Configured and Improved Deep Belief Network (OCI-DBN) Approach for Heart Disease Prediction Based on Ruzzo–Tompa and Stacked Genetic Algorithm
Syed Arslan Ali, Basit Raza, Ahmad Kamran Malik, et al.
IEEE Access (2020) Vol. 8, pp. 65947-65958
Open Access | Times Cited: 87
Surface defect detection of steel strips based on classification priority YOLOv3-dense network
Jiaqiao Zhang, Xin Kang, Hongjun Ni, et al.
Ironmaking & Steelmaking Processes Products and Applications (2020) Vol. 48, Iss. 5, pp. 547-558
Closed Access | Times Cited: 78
Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis
Harshil Thakkar, Vaishnavi Shah, Hiteshri Yagnik, et al.
Clinical eHealth (2020) Vol. 4, pp. 12-23
Open Access | Times Cited: 75
Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition
Mehmet Bilal Er, Esme Işık, İbrahim Işık
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103006-103006
Open Access | Times Cited: 75
Sequence-based dynamic handwriting analysis for Parkinson’s disease detection with one-dimensional convolutions and BiGRUs
Moises Díaz, Momina Moetesum, Imran Siddiqi, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114405-114405
Open Access | Times Cited: 70
Enhanced Heart Disease Prediction Based on Machine Learning and χ2 Statistical Optimal Feature Selection Model
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed, et al.
Designs (2022) Vol. 6, Iss. 5, pp. 87-87
Open Access | Times Cited: 64
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
Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data
Xianfang Song, Zhang Yon, Dunwei Gong, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 595-609
Closed Access | Times Cited: 57
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
Automated methods for diagnosis of Parkinson’s disease and predicting severity level
Zainab Ayaz, Saeeda Naz, Naila Habib Khan, et al.
Neural Computing and Applications (2022)
Closed Access | Times Cited: 45
A novel sample and feature dependent ensemble approach for Parkinson’s disease detection
Liaqat Ali, Chinmay Chakraborty, Zhiquan He, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 15997-16010
Open Access | Times Cited: 42
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
An Improved Ensemble-Based Cardiovascular Disease Detection System with Chi-Square Feature Selection
Ayad Esho Korial, Ivan Isho Gorial, Amjad J. Humaidi
Computers (2024) Vol. 13, Iss. 6, pp. 126-126
Open Access | Times Cited: 13
Parkinson classification neural network with mass algorithm for processing speech signals
B. Akila, J. Jesu Vedha Nayahi
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 10165-10181
Closed Access | Times Cited: 9
An optimized LSTM-based deep learning model for anomaly network intrusion detection
Nitu Dash, Sujata Chakravarty, Amiya Kumar Rath, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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