Shikun Li

1.2k citations
22 papers · 406 · h-index 10

Impact in

    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Face and Expression Recognition
    • Multimodal Machine Learning Applications
    • Machine Learning and Data Classification
    • Domain Adaptation and Few-Shot Learning
    • Anomaly Detection Techniques and Applications

Papers in

Shikun Li

22 papers receiving 403 citations

Peers

Shikun Li
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 164
  • Artificial Intelligence 181
  • Media Technology 21
  • Computational Mathematics 1
  • Computer Science Applications 9
Replace Yuezhou Wu with:
Yuezhou Wu China
Chun Shan China
Yan Gan China
Yingying Li China
Jie Lei China
Huanxi Liu China
Tianshuo Zhang China
Shikun Li relative to Yuezhou Wu China Yuezhou Wu's profile →
Citations per field
00.5×
Yuezhou Wu · 1×
Citations per year

Countries citing papers authored by Shikun Li

Since Specialization
Citations

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

Fields of papers citing papers by Shikun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022131
2 202179
3 202130
4 202022
5 202119
6 202019
7 202213
8 202311
9 202310
10 20229
11 20237
12 20247
13 20207
14 20247
15 20217
16 20246
17 20245
18 20155
19 20195
20 20233

About Shikun Li

Shikun Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Materials Chemistry, Mechanical Engineering and Organic Chemistry, having authored 22 papers that have together received 406 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (3 papers), Anomaly Detection Techniques and Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (3 papers), Thermal properties of materials (3 papers), Thermal Radiation and Cooling Technologies (2 papers), Antimicrobial agents and applications (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Artificial Intelligence (181 citations), Media Technology (21 citations), Computational Mathematics (1 citation) and Computer Science Applications (9 citations). Shikun Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shiming Ge, Tongliang Liu, Xiaobo Xia, Dan Zeng, Chunhui Zhang, Kangkai Zhang, Xiulan Huai, Jiyong Tan, Dacheng Tao and Ming Yang. Their work appears in journals such as Case Studies in Thermal Engineering, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Surfaces and Interfaces and Journal of Materials Science.

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