Chia-Hoang Lee

52 papers receiving 1.4k citations

Peers

Chia-Hoang Lee
Comparison fields: 5 of 107
  • Artificial Intelligence 682
  • Computer Vision and Pattern Recognition 490
  • Management Science and Operations Research 421
  • Information Systems 244
  • Signal Processing 218
Replace Sunil Prabhakar with:
Sunil Prabhakar United States
Matt J. Kusner United States
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Ittai Abraham Israel
Martin Erwig United States
Vipin Kumar United States
Sylvain Gelly France
Solomon Eyal Shimony Israel
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Chia-Hoang Lee relative to Sunil Prabhakar United States Sunil Prabhakar's profile →
Citations per field
00.5×1.7×
Sunil Prabhakar · 1×
Citations per year

Countries citing papers authored by Chia-Hoang Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Hoang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hoang Lee. 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 Chia-Hoang Lee. The network helps show where Chia-Hoang Lee may publish in the future.

Co-authorship network of co-authors of Chia-Hoang Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Hoang Lee. A scholar is included among the top collaborators of Chia-Hoang Lee 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 Chia-Hoang Lee. Chia-Hoang Lee 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
#WorkIndexed citations
1 65
2 12
3 17
4 93
5 43
6
Automated Essay Scoring Using Set of Literary Sememes
3
7 1
8
Enhancing Automatic Chinese Essay Scoring System from Figures-of-Speech
7
9 2
10 15
11 21
12 97
13 261
14 19
15 7
16 37
17
Improved methods of estimating shape from shading using the light source coordinate system
19
18
Structure and Motion of a Rigid Object Having Unknown Constant Motion
6
19 5
20 17

About Chia-Hoang Lee

Chia-Hoang Lee is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Topic Modeling (12 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (148 citations), Management Science and Operations Research (421 citations) and Computer Vision and Pattern Recognition (490 citations). Chia-Hoang Lee has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shyi‐Ming Chen, Chien‐Liang Liu, Azriel Rosenfeld, Wen-Hoar Hsaio, Tao-Hsing Chang, Thomas S. Huang, Ching‐Chih Han, Yu‐Chuan Chang, Anupam Joshi and Yen‐Yu Chen. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Fuzzy Systems.

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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