Han Sun

1.6k citations
85 papers · 1.0k · 1 hit paper · h-index 17

Impact in

Papers in

    • Advanced Neural Network Applications 20
    • Video Surveillance and Tracking Methods 18
    • Advanced Image and Video Retrieval Techniques 14
    • Face and Expression Recognition 6
    • Image and Object Detection Techniques 5
    • Domain Adaptation and Few-Shot Learning 5

Han Sun

71 papers receiving 979 citations

Han Sun's Hit Papers

An algorithm based on lightweight semantic features for ancient mural element object detection 2025 · 57 citations
570Years since publication1020304050

Peers

Han Sun
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 583
  • Media Technology 125
  • General Energy 13
  • Industrial and Manufacturing Engineering 87
  • Signal Processing 71
Replace Li Chai with:
Li Chai China
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Shilong Liu China
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Shoubhik Debnath United States
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Han Sun relative to Li Chai China Li Chai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Han Sun

Since Specialization
Citations

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

Fields of papers citing papers by Han Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 200276
3 202267
4 202060
5 200458
6
An algorithm based on lightweight semantic features for ancient mural element object detection
Hit paper breakdown →
202557
7 201953
8 202039
9 202438
10 201935
11 201933
12 202229
13 201829
14 201927
15
A Practical Method for Moving Target Detection Under Complex Background
200518
16 202017
17 201217
18 201015
19 202015
20 201914

About Han Sun

Han Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (20 papers), Video Surveillance and Tracking Methods (18 papers), Advanced Image and Video Retrieval Techniques (14 papers), Industrial Vision Systems and Defect Detection (7 papers), Face and Expression Recognition (6 papers), Image and Object Detection Techniques (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Vehicle License Plate Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (583 citations), Media Technology (125 citations), General Energy (13 citations), Industrial and Manufacturing Engineering (87 citations) and Signal Processing (71 citations). Han Sun has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ningzhong Liu, Jiaquan Shen, Jingyu Yang, Mingwu Ren, Yongxin Zhang, Deguang Li, Huiyu Zhou, Dong Liang, Zihan Wang and Jing Shuai. Their work appears in journals such as IEEE Access, Pattern Recognition Letters, Applied Intelligence, Knowledge-Based Systems and Optik.

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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