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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:

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers
Xiaofeng Zhu, Heung‐Il Suk, Heng Huang, et al.
IEEE Transactions on Big Data (2017) Vol. 3, Iss. 4, pp. 405-414
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Feature selection for text classification: A review
Xuelian Deng, Yuqing Li, Jian Weng, et al.
Multimedia Tools and Applications (2018) Vol. 78, Iss. 3, pp. 3797-3816
Closed Access | Times Cited: 309
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
Yu Zhang, Yu Wang, Guoxu Zhou, et al.
Expert Systems with Applications (2017) Vol. 96, pp. 302-310
Closed Access | Times Cited: 249
A novel k NN algorithm with data-driven k parameter computation
Shichao Zhang, Debo Cheng, Zhenyun Deng, et al.
Pattern Recognition Letters (2017) Vol. 109, pp. 44-54
Closed Access | Times Cited: 224
A brief review on multi-task learning
Kim‐Han Thung, Chong‐Yaw Wee
Multimedia Tools and Applications (2018) Vol. 77, Iss. 22, pp. 29705-29725
Closed Access | Times Cited: 196
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection
Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, et al.
IEEE Transactions on Knowledge and Data Engineering (2017) Vol. 30, Iss. 3, pp. 517-529
Closed Access | Times Cited: 186
Sparse Group Representation Model for Motor Imagery EEG Classification
Yong Jiao, Yu Zhang, Xun Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 2, pp. 631-641
Closed Access | Times Cited: 176
Brain Imaging Genomics: Integrated Analysis and Machine Learning
Li Shen, Paul M. Thompson
Proceedings of the IEEE (2019) Vol. 108, Iss. 1, pp. 125-162
Open Access | Times Cited: 148
EEG classification using sparse Bayesian extreme learning machine for brain–computer interface
Zhichao Jin, Guoxu Zhou, Daqi Gao, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 11, pp. 6601-6609
Closed Access | Times Cited: 153
Feature selection methods and genomic big data: a systematic review
Khawla Tadist, Saïd Najah, Nikola S. Nikolov, et al.
Journal Of Big Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 118
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning
Haijun Lei, Tao Han, Feng Zhou, et al.
Pattern Recognition (2018) Vol. 79, pp. 290-302
Closed Access | Times Cited: 104
Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks
Mohammed Abdelaziz, Tianfu Wang, Ahmed Elazab
Journal of Biomedical Informatics (2021) Vol. 121, pp. 103863-103863
Closed Access | Times Cited: 57
Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 12
Dynamic graph learning for spectral feature selection
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, et al.
Multimedia Tools and Applications (2017) Vol. 77, Iss. 22, pp. 29739-29755
Closed Access | Times Cited: 85
CNN-feature based automatic image annotation method
Yanchun Ma, Yongjian Liu, Qing Xie, et al.
Multimedia Tools and Applications (2018) Vol. 78, Iss. 3, pp. 3767-3780
Closed Access | Times Cited: 65
Unsupervised feature selection via local structure learning and sparse learning
Cong Lei, Xiaofeng Zhu
Multimedia Tools and Applications (2017) Vol. 77, Iss. 22, pp. 29605-29622
Closed Access | Times Cited: 63
Leveraging Coupled Interaction for Multimodal Alzheimer’s Disease Diagnosis
Yinghuan Shi, Heung‐Il Suk, Yang Gao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 1, pp. 186-200
Open Access | Times Cited: 59
Self-paced Learning for K-means Clustering Algorithm
Hao Yu, Guoqiu Wen, Jiangzhang Gan, et al.
Pattern Recognition Letters (2018) Vol. 132, pp. 69-75
Closed Access | Times Cited: 49
Joint-Connectivity-Based Sparse Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Parkinson’s Disease
Mansu Kim, Ji Hye Won, Jinyoung Youn, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 1, pp. 23-34
Closed Access | Times Cited: 47
Supervised feature selection by self-paced learning regression
Jiangzhang Gan, Guoqiu Wen, Hao Yu, et al.
Pattern Recognition Letters (2018) Vol. 132, pp. 30-37
Closed Access | Times Cited: 38
Machine Learning for Brain Imaging Genomics Methods: A Review
Meiling Wang, Wei Shao, Xiaoke Hao, et al.
Deleted Journal (2023) Vol. 20, Iss. 1, pp. 57-78
Closed Access | Times Cited: 12
Survey on machine learning for MRI and PET fusion in alzheimer’s disease
Bouchra Guelib, Rayene Bounab, Haithem Hermessi, et al.
Multimedia Tools and Applications (2025)
Closed Access
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis
Jia Chen, Renfang Wang, Di Wu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 2, pp. 389-401
Closed Access | Times Cited: 18
Identification of subjective cognitive decline due to Alzheimer’s disease using multimodal MRI combining with machine learning
Hua Lin, Jiehui Jiang, Zhuoyuan Li, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 3, pp. 557-566
Closed Access | Times Cited: 17
A weighted KNN-based automatic image annotation method
Yanchun Ma, Qing Xie, Yongjian Liu, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 11, pp. 6559-6570
Closed Access | Times Cited: 27
Supervised feature selection algorithm via discriminative ridge regression
Shichao Zhang, Debo Cheng, Rongyao Hu, et al.
World Wide Web (2017) Vol. 21, Iss. 6, pp. 1545-1562
Open Access | Times Cited: 28
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