Suncheng Xiang

1.1k total citations · 2 hit papers
33 papers, 360 citations indexed

About

Suncheng Xiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Suncheng Xiang has authored 33 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Suncheng Xiang's work include Video Surveillance and Tracking Methods (15 papers), Human Pose and Action Recognition (12 papers) and Gait Recognition and Analysis (8 papers). Suncheng Xiang is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), Human Pose and Action Recognition (12 papers) and Gait Recognition and Analysis (8 papers). Suncheng Xiang collaborates with scholars based in China, Australia and Macao. Suncheng Xiang's co-authors include Yuzhuo Fu, Ting Liu, Mingye Xie, Jiacheng Ruan, Dahong Qian, Jingsheng Gao, Hao Chen, Hao Chen, Qinming Zhou and Dan You and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Machine Learning and Multimedia Tools and Applications.

In The Last Decade

Suncheng Xiang

30 papers receiving 356 citations

Hit Papers

MALUNet: A Multi-Attention and Light-weight UNet for Skin... 2022 2026 2023 2024 2022 2025 40 80 120
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. MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
    2022 122 citations Jiacheng Ruan, Suncheng Xiang et al. profile →
  2. VM-UNet: Vision Mamba UNet for Medical Image Segmentation
    2025 54 citations Suncheng Xiang et al. ACM Transactions on Multimedia Computing Communications and Applications profile →

Peers

Suncheng Xiang
Kongming Liang China
Wenting Duan China
Anas M. Ali Saudi Arabia
Bunil Kumar Balabantaray India
Hongchun Lu China
Saqib Qamar China
Yinghao Zhang China
Jie-Neng Chen United States
Gabriel Efrain Humpire Mamani Netherlands
Kongming Liang China
Suncheng Xiang
Citations per year, relative to Suncheng Xiang Suncheng Xiang (= 1×) peers Kongming Liang

Countries citing papers authored by Suncheng Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Suncheng Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suncheng Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Suncheng Xiang. A scholar is included among the top collaborators of Suncheng Xiang 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 Suncheng Xiang. Suncheng Xiang 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.
Xiang, Suncheng, et al.. (2025). Learning Visual-Semantic Embedding for Generalizable Person Re-Identification: A Unified Perspective. ACM Transactions on Multimedia Computing Communications and Applications. 21(10). 1–17. 1 indexed citations
2.
3.
4.
Xiang, Suncheng, et al.. (2025). VM-UNet: Vision Mamba UNet for Medical Image Segmentation. ACM Transactions on Multimedia Computing Communications and Applications. 54 indexed citations breakdown →
5.
Gao, Jingsheng, et al.. (2025). Learning multi-axis representation in frequency domain for medical image segmentation. Machine Learning. 114(1). 3 indexed citations
6.
Xiang, Suncheng, et al.. (2024). SubFace: learning with softmax approximation for face recognition. Multimedia Tools and Applications. 83(42). 90015–90031.
7.
Wang, Jun, et al.. (2024). A Simple Normalization Technique Using Window Statistics to Improve the Out-of-Distribution Generalization on Medical Images. IEEE Transactions on Medical Imaging. 43(6). 2086–2097.
8.
Gao, Jingsheng, Mingye Xie, Suncheng Xiang, et al.. (2024). GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction. 8835–8844. 2 indexed citations
9.
Gao, Jingsheng, Jiacheng Ruan, Suncheng Xiang, et al.. (2024). LAMM: Label Alignment for Multi-Modal Prompt Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1815–1823. 6 indexed citations
10.
Zhang, Qingwei, Zhengjie Zhang, Zihao Dai, et al.. (2024). Multi-step validation of a deep learning-based system with visual explanations for optical diagnosis of polyps with advanced features. iScience. 27(4). 109461–109461. 2 indexed citations
11.
Du, Sijia, Qinming Zhou, Xin‐Yun Huang, et al.. (2023). Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis. Multiple Sclerosis and Related Disorders. 75. 104750–104750. 8 indexed citations
12.
Xiang, Suncheng, et al.. (2023). Rethinking Person Re-Identification via Semantic-based Pretraining. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–17. 5 indexed citations
13.
Cai, Shi‐Lun, et al.. (2023). Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval. 1056–1061. 1 indexed citations
14.
Xiang, Suncheng, et al.. (2023). Deep multimodal representation learning for generalizable person re-identification. Machine Learning. 113(4). 1921–1939. 19 indexed citations
15.
Li, Yangcheng, et al.. (2023). AV-TAD: Audio-Visual Temporal Action Detection With Transformer. 1–5. 2 indexed citations
16.
Xiang, Suncheng, et al.. (2023). MTDL-NET: Morphological and Temporal Discriminative Learning for Heartbeat Classification. 1–5. 1 indexed citations
17.
Xiang, Suncheng, et al.. (2023). CC-PoseNet: Towards Human Pose Estimation in Crowded Classrooms. 1–5. 2 indexed citations
18.
Xiang, Suncheng, et al.. (2022). Rethinking Illumination for Person Re-Identification: A Unified View. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4730–4738. 14 indexed citations
19.
Xiang, Suncheng, et al.. (2022). CDTNET: Cross-Domain Transformer Based on Attributes for Person Re-Identification. 1–6. 1 indexed citations
20.
Xiang, Suncheng, et al.. (2020). Unsupervised Domain Adaptation Through Synthesis For Person Re-Identification. 1–6. 27 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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