Kunchang Li

712 citations
2 papers · 299 indexed · 1 hit paper · h-index 2
Topics
Advanced Neural Network Applications (1 paper)Domain Adaptation and Few-Shot Learning (1 paper)Human Pose and Action Recognition (1 paper)
Partner nations
SingaporeChinaHong Kong

In The Last Decade

Kunchang Li

2 papers receiving 295 citations

Hit Papers

UniFormer: Unifying Convolution and Self-Attention for Vi...2023202620242025202350100150200250

Peers

Kunchang Li
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 188
  • Artificial Intelligence 88
  • Media Technology 42
  • Biomedical Engineering 27
  • Radiology, Nuclear Medicine and Imaging 25
Replace Zaiyang Yu with:
Zaiyang Yu China
Yuqing Wang China
Baoshan Cheng China
Zhaoliang Xu China
Seok Bong Yoo South Korea
Shuzhou Sun China
Liwei Wu China
Wenxin Huang China
Abdenour Amamra Algeria
Kunchang Li relative to Zaiyang Yu China Zaiyang Yu's profile →
Citations per field
00.5×1.5×2.3×
Zaiyang Yu · 1×
Citations per year

Countries citing papers authored by Kunchang Li

Since Specialization
Citations

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

Fields of papers citing papers by Kunchang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunchang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kunchang Li. A scholar is included among the top collaborators of Kunchang Li 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 Kunchang Li. Kunchang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
#WorkIndexed citations
1
UniFormer: Unifying Convolution and Self-Attention for Visual Recognitionbreakdown →
295
2 4

About Kunchang Li

Kunchang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases, having authored 2 papers that have together received 299 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Media Technology (42 citations) and Artificial Intelligence (88 citations). Kunchang Li has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Hongsheng Li, Yali Wang, Yu Qiao, Junhao Zhang, Guanglu Song, Peng Gao, Peng Gao, Hao Dong, Renrui Zhang and Minghang Zheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine 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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