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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:

A Survey on Information Bottleneck
Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5325-5344
Closed Access | Times Cited: 11

Showing 11 citing articles:

Prioritized Information Bottleneck Theoretic Framework With Distributed Online Learning for Edge Video Analytics
Zhengru Fang, Senkang Hu, Jingjing Wang, et al.
(2025), pp. 1-17
Closed Access | Times Cited: 1
An information bottleneck approach for feature selection
Qi Zhang, Mingfei Lu, Shujian Yu, et al.
Pattern Recognition (2025), pp. 111564-111564
Closed Access | Times Cited: 1
Explainable deep learning for diabetes diagnosis with DeepNetX2
Sharia Arfin Tanim, Al Rafi Aurnob, Tahmid Enam Shrestha, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106902-106902
Closed Access | Times Cited: 5
Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction
Youwei Wang, Peisong Cao, Haichuan Fang, et al.
Neural Networks (2025) Vol. 186, pp. 107250-107250
Closed Access
CBCT-to-CT synthesis using a hybrid U-Net diffusion model based on transformers and information bottleneck theory
Can Hu, Ning Cao, Xiaoju Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
FSVS-Net: A few-shot semi-supervised vessel segmentation network for multiple organs based on feature distillation and bidirectional weighted fusion
Yuqun Yang, Jichen Xu, Mengyuan Xu, et al.
Information Fusion (2025), pp. 103281-103281
Closed Access
Deep gate information bottleneck-based prediction model for complex disease-related micro-ribonucleic acids via heterogeneous biological networks
Yanbu Guo, Yiyang Xin, Jinde Cao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 156, pp. 111222-111222
Closed Access
Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning
Jiang Long, Qi Zhang, Xiaohuan Lu, et al.
Neural Networks (2024) Vol. 180, pp. 106748-106748
Closed Access | Times Cited: 3
Partial Information Decomposition: Redundancy as Information Bottleneck
Artemy Kolchinsky
Entropy (2024) Vol. 26, Iss. 7, pp. 546-546
Open Access
Learning Dual Enhanced Representation for Contrastive Multi-view Clustering
Guoliang Zou, Yangdong Ye, Tongji Chen, et al.
(2024), pp. 8731-8739
Closed Access
A unified noise and watermark removal from information Bottleneck-based modeling
Hanjuan Huang, Hsing-Kuo Pao
Neural Networks (2024) Vol. 181, pp. 106853-106853
Closed Access
DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation
Qiang Guo, Jialong Hai, Zhongchuan Sun, et al.
Information Processing & Management (2024) Vol. 62, Iss. 2, pp. 103980-103980
Closed Access
Dynamic bottleneck with a predictable prior for image-based deep reinforcement learning
Bang You, Bing Chen, Lei Yao, et al.
Expert Systems with Applications (2024), pp. 126094-126094
Closed Access
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