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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:

Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
JoonHo Lee, Gyemin Lee
Neural Networks (2023) Vol. 161, pp. 682-692
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts
Jian Liang, Ran He, Tieniu Tan
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 46
A Comprehensive Survey on Source-Free Domain Adaptation
Jingjing Li, Zhiqi Yu, Zhekai Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5743-5762
Open Access | Times Cited: 44
Source-free unsupervised domain adaptation: A survey
Yuqi Fang, Pew‐Thian Yap, Weili Lin, et al.
Neural Networks (2024) Vol. 174, pp. 106230-106230
Open Access | Times Cited: 36
Confounder balancing in adversarial domain adaptation for pre-trained large models fine-tuning
Shuoran Jiang, Qingcai Chen, Yang Xiang, et al.
Neural Networks (2024) Vol. 173, pp. 106173-106173
Open Access | Times Cited: 6
Source-Free Domain Adaptation for Privacy-Preserving Seizure Prediction
Yuchang Zhao, Shuai Feng, Chang Li, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2787-2798
Closed Access | Times Cited: 15
Source-Free Unsupervised Domain Adaptation: Current research and future directions
Ningyuan Zhang, Jie Lü, Keqiuyin Li, et al.
Neurocomputing (2023) Vol. 564, pp. 126921-126921
Closed Access | Times Cited: 15
Unsupervised machine learning of virus dispersion indoors
Nicholas Christakis, Dimitris Drikakis, Konstantinos Ritos, et al.
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 4
Advancing understanding of indoor conditions using artificial intelligence methods
Nicholas Christakis, Dimitris Drikakis, Ioannis W. Kokkinakis
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
A Survey of Trustworthy Representation Learning Across Domains
Ronghang Zhu, Dongliang Guo, Daiqing Qi, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 7, pp. 1-53
Open Access | Times Cited: 3
Reducing Uncertainty and Increasing Confidence in Unsupervised Learning
Nicholas Christakis, Dimitris Drikakis
Mathematics (2023) Vol. 11, Iss. 14, pp. 3063-3063
Open Access | Times Cited: 10
Video domain adaptation for semantic segmentation using perceptual consistency matching
Ihsan Ullah, Sion An, Myeongkyun Kang, et al.
Neural Networks (2024) Vol. 179, pp. 106505-106505
Closed Access | Times Cited: 3
Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment
Heng Zhou, Ping Zhong, Daoliang Li, et al.
Neural Networks (2024) Vol. 178, pp. 106418-106418
Closed Access | Times Cited: 1
Unsupervised Learning of Particles Dispersion
Nicholas Christakis, Dimitris Drikakis
Mathematics (2023) Vol. 11, Iss. 17, pp. 3637-3637
Open Access | Times Cited: 4
Smooth unsupervised domain adaptation considering uncertainties
Mona Moradi, Mohammad Rahmanimanesh, Ali Shahzadi, et al.
Information Sciences (2023) Vol. 648, pp. 119602-119602
Closed Access | Times Cited: 3
An In-Depth Analysis of Domain Adaptation in Computer and Robotic Vision
M. Hassan Tanveer, Zainab Fatima, Shehnila Zardari, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12823-12823
Open Access | Times Cited: 2
Exploiting multi-level consistency learning for source-free domain adaptation
Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, et al.
Multimedia Systems (2024) Vol. 30, Iss. 5
Closed Access
Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation
Pengchong Qiao, Yu Wang, Chang Liu, et al.
International Journal of Computer Vision (2024)
Closed Access
Confidence-guided Source Label Refinement and Class-aware Pseudo-Label Thresholding for Domain-Adaptive Semantic Segmentation
Hongwei Chu, Meng Shen, Jiawen Peng, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access
Hierarchical keypoints feature alignment for domain adaptive pose estimation
Jie Xu, Yunan Liu, Jian Yang, et al.
Neurocomputing (2024), pp. 128670-128670
Closed Access
Bearing Fault Diagnosis via Graph Autoencoder Networks with Multi-kernel Subdomain Adversarial Domain Adaptation
Junfeng Guo, HU Ze-ming, Zhiming Wang, et al.
Journal of Failure Analysis and Prevention (2024)
Closed Access
Source-Free Domain Adaptation with Self-supervised Learning for Non-intrusive Load Monitoring
Feichi Zhong, Zihan Shan, Gangquan Si, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access
Adapting Models to Scarce Target Data Without Source Samples
JoonHo Lee, Gyemin Lee
Lecture notes in computer science (2024), pp. 368-383
Closed Access
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change
Niklas Penzel, Gideon Stein, Joachim Denzler
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2024), pp. 90-101
Open Access
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization
Runzhe Zhan, Xuebo Liu, Derek F. Wong, et al.
(2023), pp. 807-820
Open Access | Times Cited: 1
Pseudo-Label Clustering-Driven Dual-Level Contrast Learning Based Source-Free Domain Adaptation for Fundus Image Segmentation
Wei Zhou, Jianhang Ji, Wei Cui, et al.
Lecture notes in computer science (2023), pp. 492-503
Closed Access | Times Cited: 1
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