Shu Yang

855 total citations
38 papers, 569 citations indexed

About

Shu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shu Yang has authored 38 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Shu Yang's work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Shu Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Shu Yang collaborates with scholars based in China, United States and Hong Kong. Shu Yang's co-authors include Mingsheng Long, Zhangjie Cao, Jianmin Wang, Chenyu Wang, Zesong Fei, Zhongyang Guo, Jing Wang, Ting Mao, Yang Zhang and Zhihua Xu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Neurocomputing.

In The Last Decade

Shu Yang

35 papers receiving 556 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shu Yang 258 215 127 66 56 38 569
Qi Lv 256 1.0× 212 1.0× 117 0.9× 48 0.7× 52 0.9× 59 690
Antonio‐Javier Gallego 341 1.3× 187 0.9× 117 0.9× 46 0.7× 16 0.3× 41 802
Yasser Baleghi 240 0.9× 59 0.3× 142 1.1× 49 0.7× 44 0.8× 55 586
Zhangyang Gao 218 0.8× 287 1.3× 32 0.3× 50 0.8× 112 2.0× 32 769
Carole Dulong 304 1.2× 94 0.4× 43 0.3× 107 1.6× 12 0.2× 16 772
Guilu Wu 104 0.4× 120 0.6× 46 0.4× 36 0.5× 27 0.5× 34 500
Pedro O. Pinheiro 691 2.7× 366 1.7× 88 0.7× 64 1.0× 12 0.2× 13 968
Libin Jiao 146 0.6× 94 0.4× 82 0.6× 30 0.5× 25 0.4× 47 439
Guiyu Xia 403 1.6× 108 0.5× 343 2.7× 35 0.5× 128 2.3× 31 789
Vu Nguyen 174 0.7× 289 1.3× 43 0.3× 25 0.4× 30 0.5× 54 732

Countries citing papers authored by Shu Yang

Since Specialization
Citations

This map shows the geographic impact of Shu 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 Shu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Yang more than expected).

Fields of papers citing papers by Shu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu 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 Shu Yang. The network helps show where Shu Yang may publish in the future.

Co-authorship network of co-authors of Shu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yang. A scholar is included among the top collaborators of Shu 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 Shu Yang. Shu 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.
Yang, Shu, et al.. (2026). CT-based machine learning radiomics modeling to screen for lumbar spine osteoporosis. Frontiers in Medicine. 13. 1758313–1758313.
2.
Yang, Shu, Yali Li, & Shengjin Wang. (2024). UPL-Net: Uncertainty-aware prompt learning network for semi-supervised action recognition. Neurocomputing. 619. 129126–129126. 1 indexed citations
3.
Yang, Shu, et al.. (2024). A Manifold‐Guided Gravitational Search Algorithm for High‐Dimensional Global Optimization Problems. International Journal of Intelligent Systems. 2024(1).
5.
Qiu, Yue, Shixin Wang, Shu Yang, et al.. (2024). Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation. BMC Medical Informatics and Decision Making. 24(1). 225–225. 7 indexed citations
6.
Yang, Shu, Yali Li, & Shengjin Wang. (2023). A prompt tuning method for few-shot action recognition. 1 indexed citations
7.
Zhu, Jie, et al.. (2021). Triplet-object loss for large scale deep image retrieval. International Journal of Machine Learning and Cybernetics. 13(1). 1–9. 9 indexed citations
8.
Yang, Shu, Yaowei Wang, Ke Chen, Wei Zeng, & Zesong Fei. (2021). Attribute-Aware Feature Encoding for Object Recognition and Segmentation. IEEE Transactions on Multimedia. 24. 3611–3623. 6 indexed citations
9.
Yang, Shu, Yaowei Wang, Yemin Shi, & Zesong Fei. (2019). Can Categories and Attributes Be Learned in a Multi-Task Way?. IEEE Transactions on Multimedia. 21(12). 3194–3204. 5 indexed citations
10.
Wan, Kun, et al.. (2019). Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. 760–767. 8 indexed citations
11.
Cui, Laizhong, Kai Zhang, Genghui Li, et al.. (2018). A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application. Future Generation Computer Systems. 89. 478–493. 21 indexed citations
12.
13.
Cui, Laizhong, Qiuling Huang, Genghui Li, et al.. (2018). Differential Evolution Algorithm With Tracking Mechanism and Backtracking Mechanism. IEEE Access. 6. 44252–44267. 20 indexed citations
14.
15.
Chen, Jianqiang, et al.. (2016). A Face Detection Method Based on LAB and Adaboost. 175–178. 2 indexed citations
16.
Li, Shaodan, et al.. (2015). Unsupervised Detection of Earthquake-Triggered Roof-Holes From UAV Images Using Joint Color and Shape Features. IEEE Geoscience and Remote Sensing Letters. 12(9). 1823–1827. 46 indexed citations
17.
Yang, Shu, Ting Mao, Hong Tang, Jing Li, & Xin Yang. (2015). Unsupervised classification of VHR panchromatic images using guided Chinese restaurant franchise mixture model. 3. 2413–2416. 2 indexed citations
18.
Chen, Ning, Shu Yang, & Hui Xu. (2014). The Application of Image Entropy in the Recognition of Free Fluid Spread Motion. Applied Mechanics and Materials. 665. 685–690.
19.
Shen, Li, et al.. (2012). A Multiscale Latent Dirichlet Allocation Model for Object-Oriented Clustering of VHR Panchromatic Satellite Images. IEEE Transactions on Geoscience and Remote Sensing. 51(3). 1680–1692. 40 indexed citations
20.
Yang, Shu. (2001). Object recognition system based on image texture analysis. 2 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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