Yingmin Tang

556 total citations
19 papers, 336 citations indexed

About

Yingmin Tang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Information Systems. According to data from OpenAlex, Yingmin Tang has authored 19 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Graphics and Computer-Aided Design and 2 papers in Information Systems. Recurrent topics in Yingmin Tang's work include Handwritten Text Recognition Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Image Processing and 3D Reconstruction (5 papers). Yingmin Tang is often cited by papers focused on Handwritten Text Recognition Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Image Processing and 3D Reconstruction (5 papers). Yingmin Tang collaborates with scholars based in China and United States. Yingmin Tang's co-authors include Jianguo Xiao, Zhouhui Lian, Yuan Guo, Yue Gao, Rongju Sun, Yizhi Wang, Bin Yang, Xudong Chen, Xiaolong Li and Jie Chen and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and Science China Information Sciences.

In The Last Decade

Yingmin Tang

19 papers receiving 327 citations

Peers

Yingmin Tang
Comparison fields: 5 of 31
  • Computer Vision and Pattern Recognition 307
  • Computer Graphics and Computer-Aided Design 129
  • Control and Systems Engineering 40
  • Media Technology 20
  • Information Systems 17
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Citations per field, relative to Yingmin Tang
Yingmin Tang · 1×
Citations per year, relative to Yingmin Tang
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Countries citing papers authored by Yingmin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yingmin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingmin Tang

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 11
2 21
3 6
4 74
5 3
6 7
7 67
8 22
9 6
10 68
11 4
12
Aesthetic visual quality evaluation of Chinese handwritings
16
13 1
14 6
15 4
16 2
17 2
18 15
19
Shape Recognition-Based Approach to Chinese Character Strokes' Classification
1

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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