Yu-Bin Yang

4.8k total citations · 2 hit papers
93 papers, 1.9k citations indexed

About

Yu-Bin Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yu-Bin Yang has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 14 papers in Media Technology. Recurrent topics in Yu-Bin Yang's work include Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers) and Image Processing Techniques and Applications (11 papers). Yu-Bin Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers) and Image Processing Techniques and Applications (11 papers). Yu-Bin Yang collaborates with scholars based in China, Canada and United States. Yu-Bin Yang's co-authors include Qinglong Zhang, Xiao-Jiao Mao, Chunhua Shen, Shifu Chen, Yuan Jiang, Zhi‐Hua Zhou, Yang Gao, Hui Lin, Yao Zhang and Peter Liu and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition and IEEE Transactions on Vehicular Technology.

In The Last Decade

Yu-Bin Yang

76 papers receiving 1.8k citations

Hit Papers

SA-Net: Shuffle Attention for Deep Convolut... 2016 2026 2019 2022 2021 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
    2021 578 citations Qinglong Zhang, Yu-Bin Yang profile →
  2. Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections
    2016 343 citations Xiao-Jiao Mao, Chunhua Shen et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide) profile →

Peers

Yu-Bin Yang
Zheng-Ning Liu China
Meng-Hao Guo China
M. Hassaballah Egypt
Zhijun Fang China
Weihua Ou China
Zhe Chen China
Zhenmin Tang China
Pan Zhou China
Tai‐Jiang Mu China
Jianwu Li China
Zheng-Ning Liu China
Yu-Bin Yang
Citations per year, relative to Yu-Bin Yang Yu-Bin Yang (= 1×) peers Zheng-Ning Liu

Countries citing papers authored by Yu-Bin Yang

Since Specialization
Citations

This map shows the geographic impact of Yu-Bin Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu-Bin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Bin Yang more than expected).

Fields of papers citing papers by Yu-Bin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Bin Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu-Bin Yang. The network helps show where Yu-Bin Yang may publish in the future.

Co-authorship network of co-authors of Yu-Bin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Bin Yang. A scholar is included among the top collaborators of Yu-Bin Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu-Bin Yang. Yu-Bin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Tao, Ruoqi Wang, Yu-Bin Yang, et al.. (2025). KLF5 facilitates lung adenocarcinoma metastasis by regulating the epithelial-mesenchymal transition pathway through RHPN2. Journal of Translational Medicine. 23(1). 1078–1078.
2.
Yang, Yu-Bin, et al.. (2025). Small regulatory RNAs as key modulators of antibiotic resistance in pathogenic bacteria. The Journal of Microbiology. 63(4). e2501027–e2501027. 2 indexed citations
3.
Yang, Yu-Bin, Yan Chen, Ningjiang Chen, & Juan Chen. (2025). ESFMTO: A reliable task offloading strategy based on edge server failure model in IIoT. Ad Hoc Networks. 176. 103887–103887.
4.
Su, Ting, Jun Wu, Xiang Yu, et al.. (2025). Drug functional remapping: a new promise for tumor immunotherapy. Frontiers in Oncology. 15. 1519355–1519355. 1 indexed citations
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Yang, Hongying, et al.. (2023). Development of an automatic conversion method for the conversion of a CIE‐XYZ color system to a DIN color system. Color Research & Application. 49(3). 292–305.
8.
Yang, Yu-Bin, et al.. (2023). Defense Against Adversarial Attacks with Efficient Frequency-Adaptive Compression and Reconstruction. Pattern Recognition. 138. 109382–109382. 13 indexed citations
9.
Jin, Di, et al.. (2023). Trafformer: Unify Time and Space in Traffic Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8114–8122. 21 indexed citations
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Jiang, Biao, et al.. (2022). Unsupervised Unpaired Super-Resolution Using an Active Sampling Strategy Based on Edge Detection. 2022 International Joint Conference on Neural Networks (IJCNN). 27. 1–8. 1 indexed citations
13.
Yang, Chunsheng, et al.. (2020). A morphing-Based 3D point cloud reconstruction framework for medical image processing. Computer Methods and Programs in Biomedicine. 193. 105495–105495. 30 indexed citations
14.
Dong, Jianfeng, Xiao-Jiao Mao, Chunhua Shen, & Yu-Bin Yang. (2016). Unsupervised Feature Learning With Symmetrically Connected Convolutional Denoising Auto-encoders.. arXiv (Cornell University). 3 indexed citations
15.
Mao, Xiao-Jiao, Chunhua Shen, & Yu-Bin Yang. (2016). Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 29. 2810–2818. 343 indexed citations breakdown →
16.
Zhu, Rui, et al.. (2016). Text detection based on convolutional neural networks with spatial pyramid pooling. 36. 1032–1036. 12 indexed citations
17.
Yang, Yu-Bin, et al.. (2011). Image region segmentation based on color coherence quantization. 207–219. 1 indexed citations
18.
Wei, Wei, et al.. (2008). Color-Based 3D Model Classification Using Hopfield Neural Network. 883–886. 4 indexed citations
19.
Yang, Yu-Bin. (2005). A Novel Image Retrieval Method Using Texture Features Based on Color-Connected Regions. Dianzi xuebao. 5 indexed citations
20.
Zhou, Zhi‐Hua, Yuan Jiang, Yu-Bin Yang, & Shifu Chen. (2002). Lung cancer cell identification based on artificial neural network ensembles. Artificial Intelligence in Medicine. 24(1). 25–36. 251 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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