Chi‐Han Peng
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Geology top 5%
- Aerospace Engineering
- Co-authors
- Peter WonkaYong‐Liang YangEugene ZhangHung‐Kuo ChuYoshihiro KobayashiFu-En WangMin SunCaigui Jiang
- Topics
- Computational Geometry and Mesh Generation (9 papers)3D Shape Modeling and Analysis (7 papers)Advanced Vision and Imaging (6 papers)
- Journals
- ACM Transactions on GraphicsComputer Graphics ForumKing Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)
- Partner nations
- Saudi ArabiaTaiwanUnited States
In The Last Decade
Chi‐Han Peng
18 papers receiving 352 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 158
- Computer Graphics and Computer-Aided Design 156
- Computational Mechanics 130
- Geology 67
- Aerospace Engineering 39
Countries citing papers authored by Chi‐Han Peng
This map shows the geographic impact of Chi‐Han Peng'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 Chi‐Han Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Han Peng more than expected).
Fields of papers citing papers by Chi‐Han Peng
This network shows the impact of papers produced by Chi‐Han Peng. 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 Chi‐Han Peng. The network helps show where Chi‐Han Peng may publish in the future.
Co-authorship network of co-authors of Chi‐Han Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Han Peng. A scholar is included among the top collaborators of Chi‐Han Peng 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 Chi‐Han Peng. Chi‐Han Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 94 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 37 | |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 56 | |
| 14 | 5 | |
| 15 | 37 | |
| 16 | 5 | |
| 17 | 32 | |
| 18 | 10 |
About Chi‐Han Peng
Chi‐Han Peng is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 355 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (9 papers), 3D Shape Modeling and Analysis (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (156 citations), Architecture (20 citations) and Geology (67 citations). Chi‐Han Peng has collaborated with scholars based in Saudi Arabia, Taiwan and United States. Frequent co-authors include Peter Wonka, Yong‐Liang Yang, Eugene Zhang, Hung‐Kuo Chu, Yoshihiro Kobayashi, Fu-En Wang, Min Sun, Caigui Jiang, Helmut Pottmann and Michael Bartoň. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).
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.