Baigui Sun

1.4k citations
20 papers · 530 indexed · h-index 10

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Face recognition and analysis
    • Multimodal Machine Learning Applications
    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Advanced Neural Network Applications
    • Face and Expression Recognition
    • Domain Adaptation and Few-Shot Learning

Papers in

Baigui Sun

19 papers receiving 518 citations

Peers

Baigui Sun
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 374
  • Artificial Intelligence 277
  • Media Technology 37
  • Signal Processing 42
  • Geology 21
Replace Weijian Xu with:
Weijian Xu China
Nijad Al-Najdawi Jordan
Xiaoqiang Yan China
Karteek Alahari France
Massimiliano Mancini Italy
Xiawu Zheng China
Yizhe Zhu United States
Pascal Mettes Netherlands
Donglin Di China
Xiaobin Zhu China
Baigui Sun relative to Weijian Xu China Weijian Xu's profile →
Citations per field
00.5×1.5×2.3×
Weijian Xu · 1×
Citations per year

Countries citing papers authored by Baigui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Baigui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Baigui Sun, 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 Baigui Sun Line = papers co-authored together Baigui Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019219
2 202292
3 202141
4 201929
5 202323
6 202418
7 202217
8 202216
9 202316
10 202312
11 20239
12 20229
13 20217
14 20237
15 20235
16 20244
17 20233
18 20242
19 20241
20 20250

About Baigui Sun

Baigui Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Molecular Biology, having authored 20 papers that have together received 530 indexed citations. Recurring topics across this work include Face recognition and analysis (7 papers), Face and Expression Recognition (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Vision and Imaging (4 papers), Multimodal Machine Learning Applications (3 papers), Biometric Identification and Security (3 papers), Image Processing Techniques and Applications (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (374 citations), Artificial Intelligence (277 citations), Media Technology (37 citations), Signal Processing (42 citations) and Geology (21 citations). Baigui Sun has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hao Li, Qi Qian, Rong Jin, Lei Shang, Juhua Hu, Yang Liu, Zhipeng Zhou, Qinmu Peng, Ke Lü and Xinge You. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Circuits and Systems for Video Technology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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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