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:
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
Jingyang Yuan, Xiao Luo, Yifang Qin, et al.
(2023), pp. 3647-3656
Open Access | Times Cited: 9
Jingyang Yuan, Xiao Luo, Yifang Qin, et al.
(2023), pp. 3647-3656
Open Access | Times Cited: 9
Showing 9 citing articles:
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 133
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 133
Supervised contrastive learning for graph representation enhancement
Mohadeseh Ghayekhloo, Ahmad Nickabadi
Neurocomputing (2024) Vol. 588, pp. 127710-127710
Closed Access | Times Cited: 4
Mohadeseh Ghayekhloo, Ahmad Nickabadi
Neurocomputing (2024) Vol. 588, pp. 127710-127710
Closed Access | Times Cited: 4
Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects
Boshen Shi, Yongqing Wang, Fangda Guo, et al.
Journal of Computer Science and Technology (2025)
Closed Access
Boshen Shi, Yongqing Wang, Fangda Guo, et al.
Journal of Computer Science and Technology (2025)
Closed Access
CrossâDomain Graph Anomaly Detection via Graph Transfer and Graph Decouple
Changqin Huang, Xiaotao Shi, Chengling Gao, et al.
CAAI Transactions on Intelligence Technology (2025)
Open Access
Changqin Huang, Xiaotao Shi, Chengling Gao, et al.
CAAI Transactions on Intelligence Technology (2025)
Open Access
Noise-resistant graph neural networks with manifold consistency and label consistency
Zhengyu Lu, Yujing Liu, Guoqiu Wen, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123120-123120
Closed Access | Times Cited: 1
Zhengyu Lu, Yujing Liu, Guoqiu Wen, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123120-123120
Closed Access | Times Cited: 1
Partial label learning via weighted centroid clustering disambiguation
Yuhang Tian, Xin Niu, Jing Chai
Neurocomputing (2024) Vol. 604, pp. 128312-128312
Closed Access | Times Cited: 1
Yuhang Tian, Xin Niu, Jing Chai
Neurocomputing (2024) Vol. 604, pp. 128312-128312
Closed Access | Times Cited: 1
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective
De Li, Xianxian Li, Zeming Gan, et al.
Neural Networks (2024) Vol. 182, pp. 106919-106919
Open Access
De Li, Xianxian Li, Zeming Gan, et al.
Neural Networks (2024) Vol. 182, pp. 106919-106919
Open Access
Anatomical structures detection using topological constraint knowledge in fetal ultrasound
Juncheng Guo, Guanghua Tan, Jianxin Lin, et al.
Neurocomputing (2024), pp. 129143-129143
Closed Access
Juncheng Guo, Guanghua Tan, Jianxin Lin, et al.
Neurocomputing (2024), pp. 129143-129143
Closed Access
