Yichun Shi

1.2k total citations
25 papers, 571 citations indexed

About

Yichun Shi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Yichun Shi has authored 25 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 6 papers in Signal Processing. Recurrent topics in Yichun Shi's work include Generative Adversarial Networks and Image Synthesis (8 papers), Face recognition and analysis (8 papers) and Computer Graphics and Visualization Techniques (7 papers). Yichun Shi is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (8 papers), Face recognition and analysis (8 papers) and Computer Graphics and Visualization Techniques (7 papers). Yichun Shi collaborates with scholars based in United States, China and Poland. Yichun Shi's co-authors include Anil K. Jain, Yu Xiang, Kihyuk Sohn, Manmohan Chandraker, Debayan Deb, Xiao Yang, Xiaohui Shen, Yebin Liu, Lizhen Wang and Xuan Wang and has published in prestigious journals such as Journal of Clinical Investigation, ACM Transactions on Graphics and IEEE Internet of Things Journal.

In The Last Decade

Yichun Shi

21 papers receiving 544 citations

Peers

Yichun Shi
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 409
  • Computational Mechanics 101
  • Artificial Intelligence 95
  • Signal Processing 89
  • Computer Graphics and Computer-Aided Design 82
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Or Patashnik Israel
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Xintong Han China View profile →
Citations per field, relative to Yichun Shi
Yichun Shi · 1×
Citations per year, relative to Yichun Shi
Yichun Shi · 1×

Countries citing papers authored by Yichun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yichun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichun Shi

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 8
3 0
4 3
5 1
6 36
7 11
8 2
9 12
10 30
11 37
12 52
13 70
14 53
15 103
16 55
17 12
18 7
19 29
20
Discussion on the Form of Xingsheng Script of Naxi Dongba Scripts
0

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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