Gan Sun

2.5k citations
68 papers · 1.7k · h-index 24

Impact in

    • Multimodal Machine Learning Applications
    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Domain Adaptation and Few-Shot Learning
    • Privacy-Preserving Technologies in Data

Papers in

Gan Sun

66 papers receiving 1.7k citations

Peers

Gan Sun
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 892
  • Artificial Intelligence 925
  • Media Technology 119
  • Signal Processing 101
  • Human-Computer Interaction 38
Replace Jianwei Yang with:
Jianwei Yang United States
Honggang Zhang China
Longlong Jing United States
Guoliang Kang China
De‐Chuan Zhan China
Pengzhen Ren Australia
Dacheng Tao Australia
Weihua Ou China
Hongyuan Zhu Singapore
Quanfu Fan United States
Gan Sun relative to Jianwei Yang United States Jianwei Yang's profile →
Citations per field
00.5×1.5×
Jianwei Yang · 1×
Citations per year

Countries citing papers authored by Gan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Gan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021176
2 2022124
3 2021119
4 2020115
5 202183
6 202065
7 202053
8 201648
9 202048
10 202045
11 202138
12 201838
13 202037
14 201937
15 202036
16 201733
17 202333
18 201931
19 202030
20 201827

About Gan Sun

Gan Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (24 papers), Multimodal Machine Learning Applications (13 papers), Human Pose and Action Recognition (11 papers), Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (9 papers), Robotics and Sensor-Based Localization (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (892 citations), Artificial Intelligence (925 citations), Media Technology (119 citations), Signal Processing (101 citations) and Human-Computer Interaction (38 citations). Gan Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yang Cong, Jiahua Dong, Zhengming Ding, Qiang Wang, Xiaowei Xu, Bineng Zhong, Zhen Fang, Yun Fu, Ji Liu and Yulun Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

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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