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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:

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
Weihang Dai, Xiaomeng Li, Kwang‐Ting Cheng
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7304-7313
Open Access | Times Cited: 16

Showing 16 citing articles:

Self-training approach to improve the predictability of data-driven rainfall-runoff model in hydrological data-sparse regions
Sung-Hyun Yoon, Kuk‐Hyun Ahn
Journal of Hydrology (2024) Vol. 632, pp. 130862-130862
Closed Access | Times Cited: 8
A survey on learning from data with label noise via deep neural networks
Baoye Song, Shihao Zhao, L. Minh Dang, et al.
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Yankai Chen, T. Wang, Yixiang Fang, et al.
(2025), pp. 3108-3118
Closed Access
Deep semi-supervised regression via pseudo-label filtering and calibration
Yongwon Jo, Hyungu Kahng, Seoung Bum Kim
Applied Soft Computing (2024) Vol. 161, pp. 111670-111670
Closed Access | Times Cited: 3
Semi-supervised contrastive regression for pharmaceutical processes
Yinlong Li, Yilin Liao, Ziyue Sun, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121974-121974
Closed Access | Times Cited: 7
BSRU: boosting semi-supervised regressor through ramp-up unsupervised loss
Liyan Liu, Haimin Zuo, Fan Min
Knowledge and Information Systems (2024) Vol. 66, Iss. 5, pp. 2769-2797
Closed Access | Times Cited: 2
Enhanced pavement crack segmentation with minimal labeled data: a triplet attention teacher-student framework
Mohammed Ameen Mohammed, Zheng Han, Yange Li, et al.
International Journal of Pavement Engineering (2024) Vol. 25, Iss. 1
Closed Access
Bayesian Self-training for Semi-supervised 3D Segmentation
Ozan Unal, Christos Sakaridis, Luc Van Gool
Lecture notes in computer science (2024), pp. 89-107
Closed Access
Teach CLIP to Develop a Number Sense for Ordinal Regression
Yao Du, Qiang Zhai, Weihang Dai, et al.
Lecture notes in computer science (2024), pp. 1-17
Closed Access
Semi-supervised learning approach to improve the predictability of data-driven rainfall-runoff model in hydrological data-sparse regions
Sung-Hyun Yoon, Kuk‐Hyun Ahn
(2023)
Open Access
Comment on hess-2023-148

(2023)
Open Access
Reply on RC1
Kuk‐Hyun Ahn
(2023)
Open Access
Comment on hess-2023-148
Sung-Hyun Yoon, Kuk-Hyun Ahn
(2023)
Open Access
Reply on RC2
Kuk-Hyun Ahn
(2023)
Open Access
Reply on RC2
Kuk-Hyun Ahn
(2023)
Open Access
Robust Semi-Supervised Regression for Vehicle Interior Noise Prediction
S.J.N. Sim, Jinsoo Bae, Seoung Bum Kim
IEEE Access (2023) Vol. 12, pp. 60-72
Open Access
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