Mouxing Yang

829 total citations · 1 hit paper
13 papers, 532 citations indexed

About

Mouxing Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Mouxing Yang has authored 13 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Mouxing Yang's work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Text and Document Classification Technologies (4 papers). Mouxing Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Text and Document Classification Technologies (4 papers). Mouxing Yang collaborates with scholars based in China. Mouxing Yang's co-authors include Xi Peng, Peng Hu, Zhenyu Huang, Yunfan Li, Taihao Li, Dezhong Peng, Jiancheng Lv, Zitao Liu, Yijie Lin and Peng Hu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Mouxing Yang

11 papers receiving 528 citations

Hit Papers

Learning with Twin Noisy Labels for Visible-Infrared Pers... 2022 2026 2023 2024 2022 50 100 150
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. Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification
    2022 160 citations Mouxing Yang, Zhenyu Huang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mouxing Yang China 10 387 239 45 36 33 13 532
Minghao Xu China 9 483 1.2× 493 2.1× 19 0.4× 34 0.9× 19 0.6× 11 675
Jialun Liu China 7 250 0.6× 142 0.6× 40 0.9× 26 0.7× 26 0.8× 11 350
Rongyao Fang Hong Kong 5 355 0.9× 247 1.0× 38 0.8× 33 0.9× 39 1.2× 6 542
Junqian Wang China 8 342 0.9× 223 0.9× 33 0.7× 126 3.5× 10 0.3× 16 533
Xindi Wu United States 4 222 0.6× 186 0.8× 19 0.4× 52 1.4× 19 0.6× 5 381
Ahmad Ali Pakistan 10 193 0.5× 74 0.3× 19 0.4× 45 1.3× 44 1.3× 31 319
Weide Liu Singapore 13 348 0.9× 209 0.9× 14 0.3× 64 1.8× 22 0.7× 41 484
P S P Wang Mexico 9 408 1.1× 152 0.6× 14 0.3× 111 3.1× 17 0.5× 15 583
Yude Wang China 4 381 1.0× 276 1.2× 22 0.5× 57 1.6× 13 0.4× 5 538
Zhongyu Li China 8 216 0.6× 159 0.7× 25 0.6× 30 0.8× 12 0.4× 23 354

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-authorship network of co-authors of Mouxing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mouxing Yang. A scholar is included among the top collaborators of Mouxing 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 Mouxing Yang. Mouxing Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Lin, Yijie, et al.. (2024). Decoupled Contrastive Multi-View Clustering with High-Order Random Walks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14193–14201. 39 indexed citations
2.
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4.
Yang, Mouxing, Zhenyu Huang, & Xi Peng. (2024). Robust Object Re-identification with Coupled Noisy Labels. International Journal of Computer Vision. 132(7). 2511–2529. 17 indexed citations
5.
Huang, Zhenyu, Mouxing Yang, Xinyan Xiao, Peng Hu, & Xi Peng. (2024). Noise-Robust Vision-Language Pre-Training With Positive-Negative Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 338–350. 1 indexed citations
6.
Yang, Mouxing, et al.. (2024). Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining. IEEE Transactions on Image Processing. 33. 2587–2598. 9 indexed citations
7.
Li, Yunfan, Mouxing Yang, Dezhong Peng, et al.. (2023). scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration. Nature Communications. 14(1). 6045–6045. 16 indexed citations
8.
Yang, Mouxing, et al.. (2023). Semantic Invariant Multi-View Clustering With Fully Incomplete Information. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 2139–2150. 20 indexed citations
9.
Li, Haobin, Yunfan Li, Mouxing Yang, et al.. (2023). Incomplete Multi-view Clustering via Prototype-based Imputation. 3911–3919. 35 indexed citations
10.
Lin, Yijie, Mouxing Yang, Jun Yu, et al.. (2023). Graph Matching with Bi-level Noisy Correspondence. 23305–23314. 20 indexed citations
11.
Yang, Mouxing, Zhenyu Huang, Peng Hu, et al.. (2022). Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14288–14297. 160 indexed citations breakdown →
12.
Li, Yunfan, et al.. (2022). Twin Contrastive Learning for Online Clustering. International Journal of Computer Vision. 130(9). 2205–2221. 92 indexed citations
13.
Yang, Mouxing, Yunfan Li, Zhenyu Huang, et al.. (2021). Partially View-aligned Representation Learning with Noise-robust Contrastive Loss. 1134–1143. 123 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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