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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:

Severity level diagnosis of Parkinson’s disease by ensemble K-nearest neighbor under imbalanced data
Huan Zhao, Ruixue Wang, Yaguo Lei, et al.
Expert Systems with Applications (2021) Vol. 189, pp. 116113-116113
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning
Zhangyi Shen, Feng Ding, Ye Yao, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 4, pp. 1666-1678
Closed Access | Times Cited: 43
Handling imbalanced medical datasets: review of a decade of research
Mabrouka Salmi, Dalia Atif, Diego Oliva, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 11
Machine learning for early detection and severity classification in people with Parkinson’s disease
Juseon Hwang, Changhong Youm, Hwayoung Park, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Impact of k-Nearest Neighbors Parameter Tuning on Healthcare Prediction Accuracy Across Diverse Datasets
Zsuzsa Simó, Zsuzsa Simó, László Barna Iantovics
Lecture notes in networks and systems (2025), pp. 12-22
Closed Access
Adaptive K-means clustering based under-sampling methods to solve the class imbalance problem
Qian Zhou, Bo Sun
Data and Information Management (2023) Vol. 8, Iss. 3, pp. 100064-100064
Open Access | Times Cited: 11
Transformers for 1D signals in Parkinson’s disease detection from gait
Duc Minh Dimitri Nguyen, Mehdi Miah, Guillaume-Alexandre Bilodeau, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2022), pp. 5089-5095
Closed Access | Times Cited: 16
ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data
Jicong Duan, Yan Gu, Hualong Yu, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121366-121366
Closed Access | Times Cited: 10
Static-Dynamic Temporal Networks for Parkinson’s Disease Detection and Severity Prediction
Chenhui Dong, Ying Chen, Zhan Huan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2205-2213
Open Access | Times Cited: 9
Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity
Huan Zhao, Junxiao Xie, YangQuan Chen, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 1153-1166
Closed Access | Times Cited: 9
Wearable gait monitoring for diagnosis of neurodegenerative diseases
Huan Zhao, Ruixue Wang, Dexin Qi, et al.
Measurement (2022) Vol. 202, pp. 111839-111839
Closed Access | Times Cited: 15
A new method for disease diagnosis based on hierarchical BRB with power set
Wence Han, Xiao Kang, Wei He, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13619-e13619
Open Access | Times Cited: 8
A modified kNN algorithm to detect Parkinson’s disease
Richa Indu, Sushil Chandra Dimri, Preeti Malik
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 8
Mahalanobis Metric-based Oversampling Technique for Parkinson’s Disease Severity Assessment using Spatiotemporal Gait Parameters
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105057-105057
Closed Access | Times Cited: 7
Clinical decision making: Evolving from the hypothetico‐deductive model to knowledge‐enhanced machine learning
Han Yuan
Medicine Advances (2024)
Open Access | Times Cited: 2
A partition-based problem transformation algorithm for classifying imbalanced multi-label data
Jicong Duan, Xibei Yang, Shang Gao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107506-107506
Closed Access | Times Cited: 6
Severity Prediction over Parkinson’s Disease Prediction by Using the Deep Brooke Inception Net Classifier
R. Sarankumar, D. S. Vinod, K. Anitha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 9
A Triplet Multimodel Transfer Learning Network for Speech Disorder Screening of Parkinson’s Disease
Aite Zhao, Nana Wang, Xuesen Niu, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-20
Open Access | Times Cited: 1
Information Set based Decision Tree for Parkinson’s Disease Severity Assessment using Multidimensional Gait Dataset
Aishwarya Balakrishnan, Jeevan Medikonda, K Pramod., et al.
IEEE Access (2024) Vol. 12, pp. 129187-129201
Open Access | Times Cited: 1
Conditional Variational Autoencoder and generative adversarial network-based approach for long-tailed fault diagnosis for the motor system
Mei Huang, Chenxing Sheng, Xiang Rao
Measurement (2024) Vol. 242, pp. 116116-116116
Closed Access | Times Cited: 1
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems
Tayyebe Feizi, Mohammad Hossein Moattar, Hamid Tabatabaee
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Classification of SSVEP signals using the combined FoCCA-KNN method and comparison with other machine learning methods
Mir Mikael Fatemi, Mohammad Manthouri
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104957-104957
Closed Access | Times Cited: 3
A Disease Diagnosis Application Using a Novel Fuzzy Ensemble Framework
Zhenya Qi, Zuoru Zhang
(2024)
Closed Access
Feature Transformation Based on Autoencoder to Oversample on Imbalanced Data
Jie Yang, Tingting Pan, Yihao Lu
2022 5th International Symposium on Autonomous Systems (ISAS) (2024) Vol. 32, pp. 1-6
Closed Access
VAMLM-PDD: Vigorous Amalgamated Machine Learning Model for Investigating Parkinson's Disease Detection
S Prabhakar, Dogeun Park, Young-Gi Ju, et al.
(2024), pp. 1-6
Closed Access
Non‐Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning
Ruiyuan Weng, Yudian Xu, Xinjie Gao, et al.
Advanced Science (2024)
Open Access
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