Peize Sun

7.0k total citations · 5 hit papers
13 papers, 2.5k citations indexed

About

Peize Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peize Sun has authored 13 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peize Sun's work include Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Peize Sun is often cited by papers focused on Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Peize Sun collaborates with scholars based in Hong Kong, China and United States. Peize Sun's co-authors include Ping Luo, Zehuan Yuan, Yi Jiang, Enze Xie, Changhu Wang, Rufeng Zhang, Tao Kong, Wei Zhan, Chenfeng Xu and Masayoshi Tomizuka and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics and Lasers in Engineering and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Peize Sun

13 papers receiving 2.5k citations

Hit Papers

Sparse R-CNN: End-to-End Object Detection with Learnable ... 2020 2026 2022 2024 2021 2020 2023 2021 2022 250 500 750
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. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
    2021 933 citations Peize Sun, Rufeng Zhang et al. profile →
  2. PolarMask: Single Shot Instance Segmentation With Polar Representation
    2020 431 citations Enze Xie, Peize Sun et al. The HKU Scholars Hub (University of Hong Kong) profile →
  3. DiffusionDet: Diffusion Model for Object Detection
    2023 272 citations Shoufa Chen, Peize Sun et al. profile →
  4. DetCo: Unsupervised Contrastive Learning for Object Detection
    2021 209 citations Enze Xie, Jian Ding et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
  5. DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
    2022 173 citations Peize Sun, Jinkun Cao 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
Peize Sun Hong Kong 13 1.9k 688 328 313 274 13 2.5k
Xiaohan Ding China 9 1.7k 0.9× 715 1.0× 258 0.8× 257 0.8× 389 1.4× 16 2.7k
Xiyang Dai United Kingdom 17 2.4k 1.3× 967 1.4× 242 0.7× 324 1.0× 414 1.5× 24 3.5k
Tao Kong China 20 2.1k 1.1× 802 1.2× 225 0.7× 354 1.1× 326 1.2× 62 3.0k
Kaiwen Duan China 10 1.8k 0.9× 429 0.6× 253 0.8× 486 1.6× 274 1.0× 19 2.6k
Tai‐Jiang Mu China 18 1.6k 0.9× 568 0.8× 143 0.4× 386 1.2× 323 1.2× 56 2.8k
Jiangmiao Pang China 15 2.5k 1.4× 847 1.2× 227 0.7× 691 2.2× 305 1.1× 31 3.2k
Meng-Hao Guo China 7 1.3k 0.7× 591 0.9× 166 0.5× 180 0.6× 382 1.4× 23 2.6k
Zheng-Ning Liu China 7 1.3k 0.7× 583 0.8× 165 0.5× 181 0.6× 379 1.4× 10 2.5k
Xiang Bai China 10 1.7k 0.9× 445 0.6× 172 0.5× 175 0.6× 478 1.7× 26 2.3k

Countries citing papers authored by Peize Sun

Since Specialization
Citations

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

Fields of papers citing papers by Peize Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peize Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Peize Sun. A scholar is included among the top collaborators of Peize Sun 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 Peize Sun. Peize Sun 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.
Sun, Peize, Rufeng Zhang, Yi Jiang, et al.. (2023). Sparse R-CNN: An End-to-End Framework for Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15650–15664. 53 indexed citations
2.
Sun, Peize, Chenchen Zhu, Fanyi Xiao, et al.. (2023). Going Denser with Open-Vocabulary Part Segmentation. 15407–15419. 19 indexed citations
3.
Chen, Shoufa, Peize Sun, Yibing Song, & Ping Luo. (2023). DiffusionDet: Diffusion Model for Object Detection. 19773–19786. 272 indexed citations breakdown →
4.
Sun, Peize, Jinkun Cao, Yi Jiang, et al.. (2022). DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20961–20970. 173 indexed citations breakdown →
5.
Wu, Jiannan, Yi Jiang, Peize Sun, Zehuan Yuan, & Ping Luo. (2022). Language as Queries for Referring Video Object Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4964–4974. 81 indexed citations
6.
Sun, Peize, Enze Xie, Chongjian Ge, et al.. (2021). Watch Only Once: An End-to-End Video Action Detection Framework. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8158–8167. 35 indexed citations
7.
Sun, Peize, Rufeng Zhang, Yi Jiang, et al.. (2021). Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. 14449–14458. 933 indexed citations breakdown →
8.
Xie, Enze, Jian Ding, Wenhai Wang, et al.. (2021). DetCo: Unsupervised Contrastive Learning for Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8372–8381. 209 indexed citations breakdown →
9.
Lin, Chuang, Zehuan Yuan, Sicheng Zhao, et al.. (2021). Domain-Invariant Disentangled Network for Generalizable Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8751–8760. 55 indexed citations
10.
Xie, Enze, Wenjia Wang, Wenhai Wang, et al.. (2021). Segmenting Transparent Objects in the Wild with Transformer. 1194–1200. 70 indexed citations
11.
Sun, Peize, Yi Jiang, Enze Xie, et al.. (2020). OneNet: Towards End-to-End One-Stage Object Detection.. arXiv (Cornell University). 13 indexed citations
12.
Xie, Enze, Peize Sun, Wenhai Wang, et al.. (2020). PolarMask: Single Shot Instance Segmentation With Polar Representation. The HKU Scholars Hub (University of Hong Kong). 12190–12199. 431 indexed citations breakdown →
13.
Fu, Guizhong, Peize Sun, Wenbin Zhu, et al.. (2019). A deep-learning-based approach for fast and robust steel surface defects classification. Optics and Lasers in Engineering. 121. 397–405. 198 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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