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:

DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Young‐Taek Oh, Dong-Jin Kim, In So Kweon
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan, Anna Kukleva, Dengxin Dai, et al.
International Journal of Computer Vision (2022) Vol. 131, Iss. 3, pp. 626-643
Open Access | Times Cited: 40

Generative Bias for Robust Visual Question Answering
Jae Won Cho, Dong-Jin Kim, Hyeonggon Ryu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 29

Backdoor Defense via Adaptively Splitting Poisoned Dataset
Kuofeng Gao, Yang Bai, Jindong Gu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 24

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Chaoqun Du, Yulin Wang, Shiji Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 9, pp. 5890-5904
Open Access | Times Cited: 10

Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency is All You Need
Wei Tong, Kai Gan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 3469-3478
Closed Access | Times Cited: 19

Semi-Supervised Graph Imbalanced Regression
Gang Liu, Tong Zhao, Eric Inae, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1453-1465
Open Access | Times Cited: 13

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee, Heeyoung Kim
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 23891-23900
Closed Access | Times Cited: 5

A survey of class-imbalanced semi-supervised learning
Qian Gui, Zhou Hong, Na Guo, et al.
Machine Learning (2023) Vol. 113, Iss. 8, pp. 5057-5086
Open Access | Times Cited: 12

MW-FixMatch: A class imbalance semi-supervised learning algorithm based on re-weighting
Xiaoqing Zheng, Hong Wei, D Chen, et al.
Neurocomputing (2025), pp. 129385-129385
Closed Access

Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Yuhang Zang, Kaiyang Zhou, Chen Huang, et al.
International Journal of Computer Vision (2023) Vol. 131, Iss. 4, pp. 987-1001
Closed Access | Times Cited: 10

A systematic review for class-imbalance in semi-supervised learning
Willian Dihanster Gomes de Oliveira, Lilian Berton
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2349-2382
Closed Access | Times Cited: 9

TNCB: Tri-Net With Cross-Balanced Pseudo Supervision for Class Imbalanced Medical Image Classification
Aixi Qu, Qiang Wu, Jing Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2187-2198
Closed Access | Times Cited: 3

Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization
Mengtian Li, Shaohui Lin, Zihan Wang, et al.
Pattern Recognition (2024) Vol. 156, pp. 110701-110701
Open Access | Times Cited: 3

Few-shot learning with long-tailed labels
Hongliang Zhang, Shuo Chen, Lei Luo, et al.
Pattern Recognition (2024) Vol. 156, pp. 110806-110806
Closed Access | Times Cited: 3

Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning
Yingpeng Xie, Qiwei Wan, Hai Xie, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 9, pp. 2714-2725
Closed Access | Times Cited: 8

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning
Justin Lazarow, Kihyuk Sohn, Chen‐Yu Lee, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 5633-5642
Closed Access | Times Cited: 7

Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma, Ismail Elezi, Jiankang Deng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14229-14237
Open Access | Times Cited: 2

BEM: Balanced and Entropy-Based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng, Linyuan Zhou, Han Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 22893-22903
Closed Access | Times Cited: 2

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li, Xiangru Lin, Wei Zhang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 16344-16354
Open Access | Times Cited: 6

SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105665-105665
Open Access | Times Cited: 4

Semi-supervised remote sensing image scene classification with prototype-based consistency
Yang Li, Zhang Li, Zi Wang, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 2, pp. 459-470
Open Access | Times Cited: 4

BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng, Lujing Xie, Shijie Fang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 11970-11978
Open Access | Times Cited: 1

Twice Class Bias Correction for Imbalanced Semi-supervised Learning
Lan Li, Bowen Tao, Lu Han, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13563-13571
Open Access | Times Cited: 1

Semisupervised Cross-Domain Remote Sensing Scene Classification via Category-Level Feature Alignment Network
Yang Li, Zhang Li, Ang Su, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 1

Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification
Sun Yan-feng, Y. H. Wang, Shaofan Wang
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7941-7957
Closed Access | Times Cited: 1

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