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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:

Safety-aware Graph-based Semi-Supervised Learning
Haitao Gan, Zhenhua Li, Wei Wu, et al.
Expert Systems with Applications (2018) Vol. 107, pp. 243-254
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A semi-supervised convolutional neural network-based method for steel surface defect recognition
Yiping Gao, Liang Gao, Xinyu Li, et al.
Robotics and Computer-Integrated Manufacturing (2019) Vol. 61, pp. 101825-101825
Closed Access | Times Cited: 166
A Comparative Analysis of Active Learning for Biomedical Text Mining
Usman Naseem, Matloob Khushi, Shah Khalid Khan, et al.
Applied System Innovation (2021) Vol. 4, Iss. 1, pp. 23-23
Open Access | Times Cited: 51
OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition
Yong Peng, Fengzhe Jin, Wanzeng Kong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1288-1297
Open Access | Times Cited: 36
Semi-Supervised Self-Training Method Based on an Optimum-Path Forest
Junnan Li, Qingsheng Zhu
IEEE Access (2019) Vol. 7, pp. 36388-36399
Open Access | Times Cited: 38
An effective framework based on local cores for self-labeled semi-supervised classification
Junnan Li, Qingsheng Zhu, Quanwang Wu, et al.
Knowledge-Based Systems (2020) Vol. 197, pp. 105804-105804
Closed Access | Times Cited: 33
A semi-supervised learning algorithm via adaptive Laplacian graph
Yuan Yuan, Xin Li, Qi Wang, et al.
Neurocomputing (2020) Vol. 426, pp. 162-173
Closed Access | Times Cited: 28
Semi-supervised regression with adaptive graph learning for EEG-based emotion recognition
Tianhui Sha, Yikai Zhang, Yong Peng, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 11379-11402
Open Access | Times Cited: 10
Safe semi-supervised learning for pattern classification
Jun Ma, Guolin Yu, Weizhi Xiong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106021-106021
Closed Access | Times Cited: 9
Impact of Fuzziness Measures on the Performance of Semi-supervised Learning
Muhammed J. A. Patwary, Xizhao Wang, Dasen Yan
International Journal of Fuzzy Systems (2019) Vol. 21, Iss. 5, pp. 1430-1442
Closed Access | Times Cited: 26
Artificial Intelligence Methodologies for Data Management
Joel Serey, Luis Quezada, Miguel Alfaro, et al.
Symmetry (2021) Vol. 13, Iss. 11, pp. 2040-2040
Open Access | Times Cited: 22
Multi granularity based label propagation with active learning for semi-supervised classification
Shengdan Hu, Duoqian Miao, Witold Pedrycz
Expert Systems with Applications (2021) Vol. 192, pp. 116276-116276
Closed Access | Times Cited: 22
Semi-supervised regression trees with application to QSAR modelling
Jurica Levatić, Michelangelo Ceci, Tomaž Stepišnik, et al.
Expert Systems with Applications (2020) Vol. 158, pp. 113569-113569
Closed Access | Times Cited: 23
A semi-supervised self-training method based on density peaks and natural neighbors
Suwen Zhao, Junnan Li
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 2, pp. 2939-2953
Closed Access | Times Cited: 21
A Review on Signal Processing Approaches to Reduce Calibration Time in EEG-Based Brain–Computer Interface
Xin Huang, Yilu Xu, Jing Hua, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 17
TS3FCM: trusted safe semi-supervised fuzzy clustering method for data partition with high confidence
Phung The Huan, Pham Huy Thong, Trần Mạnh Tuấn, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 9, pp. 12567-12598
Closed Access | Times Cited: 11
Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine
Qingshan She, Jie Zou, Zhizeng Luo, et al.
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 9, pp. 2119-2130
Closed Access | Times Cited: 16
Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification
Qingshan She, Jie Zou, Ming Meng, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 12, Iss. 4, pp. 903-916
Closed Access | Times Cited: 14
Adaptive Safe Semi-Supervised Extreme Machine Learning
Jun Ma, Chao Yuan
IEEE Access (2019) Vol. 7, pp. 76176-76184
Open Access | Times Cited: 12
Improved Transductive Support Vector Machine for a Small Labelled Set in Motor Imagery-Based Brain-Computer Interface
Yilu Xu, Jing Hua, Hua Zhang, et al.
Computational Intelligence and Neuroscience (2019) Vol. 2019, pp. 1-16
Open Access | Times Cited: 12
Using decomposition-based multi-objective evolutionary algorithm as synthetic example optimization for self-labeling
Zahra Donyavi, Shahrokh Asadi
Swarm and Evolutionary Computation (2020) Vol. 58, pp. 100736-100736
Closed Access | Times Cited: 12
Decoding EEG in Motor Imagery Tasks with Graph Semi-Supervised Broad Learning
Qingshan She, Yukai Zhou, Haitao Gan, et al.
Electronics (2019) Vol. 8, Iss. 11, pp. 1273-1273
Open Access | Times Cited: 10
A hybrid safe semi-supervised learning method
Haitao Gan, Li Guo, Siyu Xia, et al.
Expert Systems with Applications (2020) Vol. 149, pp. 113295-113295
Closed Access | Times Cited: 9
A novel semi-supervised self-training method based on resampling for Twitter fake account identification
Ziming Zeng, Tingting Li, Shouqiang Sun, et al.
Data Technologies and Applications (2021) Vol. 56, Iss. 3, pp. 409-428
Closed Access | Times Cited: 9
Joint low-rank representation and spectral regression for robust subspace learning
Yong Peng, Leijie Zhang, Wanzeng Kong, et al.
Knowledge-Based Systems (2020) Vol. 195, pp. 105723-105723
Closed Access | Times Cited: 8
Intelligent recognition of surface defects of parts by Resnet
Fushuai Wang, Jiyuan Qiu, Zhefeng Wang, et al.
Journal of Physics Conference Series (2021) Vol. 1883, Iss. 1, pp. 012178-012178
Open Access | Times Cited: 7
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