Shu Yang

855 citations
38 papers · 569 · h-index 11

Impact in

Papers in

    • Advanced Neural Network Applications 7
    • Advanced Image and Video Retrieval Techniques 6
    • Multimodal Machine Learning Applications 4
    • Image Retrieval and Classification Techniques 4
    • Video Surveillance and Tracking Methods 3
    • Domain Adaptation and Few-Shot Learning 8

Shu Yang

35 papers receiving 556 citations

Peers

Shu Yang
Comparison fields: 5 of 81
  • Media Technology 127
  • Computer Vision and Pattern Recognition 258
  • Artificial Intelligence 215
  • Human-Computer Interaction 29
  • Environmental Engineering 66
Replace Qi Lv with:
Qi Lv China
Antonio‐Javier Gallego Spain
Yasser Baleghi Iran
Guiyu Xia China
Pedro O. Pinheiro Canada
X. X. Ding China
Zhangyang Gao China
Bin Luo China
Carole Dulong United States
Yibo Yang China
Shu Yang relative to Qi Lv China Qi Lv's profile →
Citations per field
00.5×1.6×
Qi Lv · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shu Yang Line = papers co-authored together Shu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021101
2 201970
3 201262
4 201746
5 201546
6 201240
7 201729
8 202022
9 201821
10 201621
11 201820
12 200510
13 20219
14 20189
15 20198
16 20247
17 20087
18 20216
19 20195
20 20184

About Shu Yang

Shu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Atmospheric Science and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 569 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Remote Sensing and Land Use (4 papers), Multimodal Machine Learning Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), Remote-Sensing Image Classification (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Media Technology (127 citations), Computer Vision and Pattern Recognition (258 citations), Artificial Intelligence (215 citations), Human-Computer Interaction (29 citations) and Environmental Engineering (66 citations). Shu Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mingsheng Long, Zhangjie Cao, Jianmin Wang, Chenyu Wang, Zesong Fei, Zhongyang Guo, Jing Wang, Ting Mao, Yang Zhang and Jing Li. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Machine Learning and Cybernetics, Neurocomputing and IEEE Geoscience and Remote Sensing Letters.

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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