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:
Combining layered label correction and mixup supervised contrastive learning to learn noisy labels
Bin Huang, Ping Zhang, Chaoyang Xu
Information Sciences (2023) Vol. 642, pp. 119242-119242
Closed Access | Times Cited: 7
Bin Huang, Ping Zhang, Chaoyang Xu
Information Sciences (2023) Vol. 642, pp. 119242-119242
Closed Access | Times Cited: 7
Showing 7 citing articles:
BPT-PLR: A Balanced Partitioning and Training Framework with Pseudo-Label Relaxed Contrastive Loss for Noisy Label Learning
Qian Zhang, Ge Jin, Yi Zhu, et al.
Entropy (2024) Vol. 26, Iss. 7, pp. 589-589
Open Access | Times Cited: 5
Qian Zhang, Ge Jin, Yi Zhu, et al.
Entropy (2024) Vol. 26, Iss. 7, pp. 589-589
Open Access | Times Cited: 5
Learning with noisy labels via clean aware sharpness aware minimization
Bin Huang, Ying Xie, Chaoyang Xu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Bin Huang, Ying Xie, Chaoyang Xu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Psscl: A Progressive Sample Selection Framework with Contrastive Loss Designed for Noisy Labels
Qian Zhang, Yi Zhu, Filipe R. Cordeiro, et al.
(2024)
Closed Access | Times Cited: 1
Qian Zhang, Yi Zhu, Filipe R. Cordeiro, et al.
(2024)
Closed Access | Times Cited: 1
A Two-Stage Noisy Label Learning Framework with Uniform Consistency Selection and Robust Training
Qian Zhang, Chen Qiu
(2024)
Closed Access | Times Cited: 1
Qian Zhang, Chen Qiu
(2024)
Closed Access | Times Cited: 1
PSSCL: A Progressive Sample Selection Framework with Contrastive Loss Designed for Noisy Labels
Qian Zhang, Yi Zhu, Filipe R. Cordeiro, et al.
Pattern Recognition (2024), pp. 111284-111284
Closed Access | Times Cited: 1
Qian Zhang, Yi Zhu, Filipe R. Cordeiro, et al.
Pattern Recognition (2024), pp. 111284-111284
Closed Access | Times Cited: 1
Dual-Mix for Cross-Modal Retrieval with Noisy Labels
Feng Ding, Xiu Liu, Xinyi Wang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6505-6509
Closed Access
Feng Ding, Xiu Liu, Xinyi Wang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6505-6509
Closed Access
Learning with noisy labels via clean-aware sharpness-aware minimization
Bin Huang, Ping Zhang, Ying Xie, et al.
Research Square (Research Square) (2024)
Closed Access
Bin Huang, Ping Zhang, Ying Xie, et al.
Research Square (Research Square) (2024)
Closed Access
