Mouxing Yang

1.0k citations
16 papers · 721 · 1 hit paper · h-index 10

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 4
    • Multimodal Machine Learning Applications 3
    • Video Surveillance and Tracking Methods 2
    • Face and Expression Recognition 1
    • Domain Adaptation and Few-Shot Learning 5
    • Text and Document Classification Technologies 4
    • Advanced Clustering Algorithms Research 3

Mouxing Yang

14 papers receiving 715 citations

Mouxing Yang's Hit Papers

Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification 2022 · 202 citations
2020+1+2Years since publication50100150200

Peers

Mouxing Yang
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 482
  • Computational Mathematics 7
  • Artificial Intelligence 301
  • Media Technology 38
  • Signal Processing 28
Replace Hongfu Liu with:
Hongfu Liu United States
Binbin Pan China
Wanqi Yang China
Zhenqiu Shu China
Xiaoqiang Yan China
Zhongyang Huang Singapore
Zhenyong Fu China
Mouxing Yang relative to Hongfu Liu United States Hongfu Liu's profile →
Citations per field
00.5×2×3×3.9×
Hongfu Liu · 1×
Citations per year

Countries citing papers authored by Mouxing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mouxing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mouxing 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 Mouxing Yang Line = papers co-authored together Mouxing Yang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification
Hit paper breakdown →
2022202
2 2021146
3 2022110
4 202461
5 202348
6 202339
7 202431
8 202328
9 202422
10 202320
11 20249
12 20243
13 20241
14 20251
15 20260
16 20260

About Mouxing Yang

Mouxing Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Aerospace Engineering and Molecular Biology, having authored 16 papers that have together received 721 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Text and Document Classification Technologies (4 papers), Advanced Clustering Algorithms Research (3 papers), Multimodal Machine Learning Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Face and Expression Recognition (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (482 citations), Computational Mathematics (7 citations), Artificial Intelligence (301 citations), Media Technology (38 citations) and Signal Processing (28 citations). Mouxing Yang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Xi Peng, Peng Hu, Zhenyu Huang, Yunfan Li, Taihao Li, Dezhong Peng, Jiancheng Lv, Zitao Liu, Yijie Brittany Lin and Peng Hu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Nature Communications, IEEE Transactions on Image Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

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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