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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:

NaNG-ST: A natural neighborhood graph-based self-training method for semi-supervised classification
Junnan Li
Neurocomputing (2022) Vol. 514, pp. 268-284
Closed Access | Times Cited: 12

Showing 12 citing articles:

A self-training method based on fast binary bare-bones particle swarm optimization for semi-supervised classification
Junnan Li
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108546-108546
Closed Access | Times Cited: 4
A robust self-training algorithm based on relative node graph
Jikui Wang, Huiyu Duan, Cuihong Zhang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access | Times Cited: 3
A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn
Zheng Liu, Shiluo Huang, Wei Jin, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107912-107912
Closed Access | Times Cited: 1
BPSO-SLM: a binary particle swarm optimization-based self-labeled method for semi-supervised classification
Ruijuan Liu, Junnan Li
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 8, pp. 3255-3277
Closed Access | Times Cited: 1
Improving Graph Neural Networks by combining active learning with self-training
Georgios Katsimpras, Γεώργιος Παλιούρας
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 1, pp. 110-127
Open Access | Times Cited: 3
A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity
Jikui Wang, Yiwen Wu, Shaobo Li, et al.
Neural Networks (2023) Vol. 168, pp. 431-449
Closed Access | Times Cited: 3
Semi-Supervised Learning for Gas Insulated Switchgear Partial Discharge Pattern Recognition in the Case of Limited Labeled Data
Jiarong Yang, Kelin Hu, Jing Zhang, et al.
(2024)
Closed Access
Semi-supervised learning for gas insulated switchgear partial discharge pattern recognition in the case of limited labeled data
Jiarong Yang, Kelin Hu, Jing Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109193-109193
Closed Access
A novel interpolation consistency for bad generative adversarial networks (IC-BGAN)
Mohammad Saber Iraji, Jafar Tanha, Mohammad Ali Balafar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 38, pp. 86161-86205
Closed Access
Tri-Training Algorithm Based Nuclear Power Systems Semi-Supervised Fault Diagnosis under Multiple Restricted Data Conditions
Haotong Wang, Yanjun Li, Site Li, et al.
Applied Soft Computing (2024), pp. 112345-112345
Closed Access
STDPboost: A Self-Training Method Based on Density Peaks and Improved Adaboost for Semi-Supervised Classification
Lin Xu, Junnan Li
IEEE Access (2023) Vol. 11, pp. 72974-72989
Open Access
A Novel Interpolation Consistency for Bad Semi-Supervised Generative Adversarial Networks (Icbsgan) in Image Classification and Interpretation
Mohammad Saber Iraji, Jafar Tanha, Mohammad Ali Balafar, et al.
(2023)
Closed Access
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