Sucheng Ren

951 total citations · 1 hit paper
18 papers, 498 citations indexed

About

Sucheng Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sucheng Ren has authored 18 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Sucheng Ren's work include Advanced Neural Network Applications (9 papers), Visual Attention and Saliency Detection (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Sucheng Ren is often cited by papers focused on Advanced Neural Network Applications (9 papers), Visual Attention and Saliency Detection (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Sucheng Ren collaborates with scholars based in China, Singapore and United States. Sucheng Ren's co-authors include Shengfeng He, Xinchao Wang, Jiashi Feng, Daquan Zhou, Guoqiang Han, Haoxin Chen, Wenxi Liu, Yong Du, Jianming Lv and Xingyi Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and IEEE Multimedia.

In The Last Decade

Sucheng Ren

16 papers receiving 492 citations

Hit Papers

Shunted Self-Attention via Multi-Scale Token Aggregation 2022 2026 2023 2024 2022 50 100 150 200
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. Shunted Self-Attention via Multi-Scale Token Aggregation
    2022 227 citations Sucheng Ren, Daquan Zhou 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
Sucheng Ren China 10 328 145 77 50 44 18 498
Tao Gong China 7 253 0.8× 157 1.1× 53 0.7× 77 1.5× 32 0.7× 18 446
Dilin Wang United States 10 389 1.2× 263 1.8× 71 0.9× 34 0.7× 35 0.8× 22 603
Zongxin Yang China 14 577 1.8× 175 1.2× 73 0.9× 70 1.4× 42 1.0× 27 761
Yuxuan Zhang China 10 295 0.9× 115 0.8× 84 1.1× 91 1.8× 32 0.7× 36 532
Jun Miao China 11 380 1.2× 73 0.5× 54 0.7× 50 1.0× 26 0.6× 28 502
Linfeng Xu China 15 492 1.5× 154 1.1× 117 1.5× 44 0.9× 16 0.4× 80 647
Ali Hassani United States 2 306 0.9× 104 0.7× 93 1.2× 53 1.1× 14 0.3× 4 442
Jiachen Li China 11 500 1.5× 179 1.2× 112 1.5× 76 1.5× 21 0.5× 21 694
Yunhang Shen China 16 524 1.6× 248 1.7× 71 0.9× 64 1.3× 18 0.4× 48 725
Fatih Porikli United States 11 448 1.4× 116 0.8× 98 1.3× 48 1.0× 36 0.8× 30 600

Countries citing papers authored by Sucheng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Sucheng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sucheng Ren

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

All Works

18 of 18 papers shown
1.
Wang, Feng, Sucheng Ren, Angtian Wang, et al.. (2025). Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency. PubMed. 2025. 30157–30166.
2.
Wang, Feng, Jiahao Wang, Sucheng Ren, et al.. (2025). Mamba-Reg: Vision Mamba Also Needs Registers. PubMed. 2025. 14944–14953. 2 indexed citations
3.
Ren, Sucheng & Xiaomeng Li. (2025). HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10558–10566. 1 indexed citations
4.
Ren, Sucheng, et al.. (2025). DeepMIM: Deep Supervision for Masked Image Modeling. 879–888. 2 indexed citations
5.
Ren, Sucheng, Nanxuan Zhao, Qiang Wen, Guoqiang Han, & Shengfeng He. (2024). Unifying Global-Local Representations in Salient Object Detection With Transformers. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2870–2879. 15 indexed citations
6.
Xiong, Zheng, et al.. (2024). Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting. 342–351. 5 indexed citations
7.
Xu, Dan, et al.. (2023). Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2363–2368. 2 indexed citations
8.
Ren, Sucheng, Wenxi Liu, Jianbo Jiao, Guoqiang Han, & Shengfeng He. (2023). Edge Distraction-aware Salient Object Detection. IEEE Multimedia. 30(3). 63–73. 4 indexed citations
9.
Ren, Sucheng, Fangyun Wei, Zheng Zhang, & Han Hu. (2023). TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. 3687–3697. 26 indexed citations
10.
11.
Ren, Sucheng, Xingyi Yang, Songhua Liu, & Xinchao Wang. (2023). SG-Former: Self-guided Transformer with Evolving Token Reallocation. 5980–5991. 28 indexed citations
12.
Ren, Sucheng, et al.. (2022). Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 9248–9255. 9 indexed citations
13.
Ren, Sucheng, Daquan Zhou, Shengfeng He, Jiashi Feng, & Xinchao Wang. (2022). Shunted Self-Attention via Multi-Scale Token Aggregation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10843–10852. 227 indexed citations breakdown →
14.
Ren, Sucheng, Huiyu Wang, Shengfeng He, et al.. (2022). A Simple Data Mixing Prior for Improving Self-Supervised Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14575–14584. 23 indexed citations
15.
Ren, Sucheng, et al.. (2022). Co-advise: Cross Inductive Bias Distillation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16752–16761. 33 indexed citations
16.
Ren, Sucheng, Yong Du, Jianming Lv, Guoqiang Han, & Shengfeng He. (2021). Learning from the Master: Distilling Cross-modal Advanced Knowledge for Lip Reading. 13320–13328. 51 indexed citations
17.
Chen, Haoxin, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, & Shengfeng He. (2021). Delving Deep into Many-to-many Attention for Few-shot Video Object Segmentation. 14035–14044. 12 indexed citations
18.
Ren, Sucheng, et al.. (2021). Reciprocal Transformations for Unsupervised Video Object Segmentation. 15430–15439. 58 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tao Gong Breakdown of academic impact, for papers by Dilin Wang Breakdown of academic impact, for papers by Zongxin Yang Breakdown of academic impact, for papers by Yuxuan Zhang Breakdown of academic impact, for papers by Jun Miao Breakdown of academic impact, for papers by Linfeng Xu Breakdown of academic impact, for papers by Ali Hassani Breakdown of academic impact, for papers by Jiachen Li Breakdown of academic impact, for papers by Yunhang Shen Breakdown of academic impact, for papers by Fatih Porikli
Rankless by CCL
2026