Chun‐Fa Chang

743 citations
30 papers · 439 · h-index 9

Impact in

Papers in

Chun‐Fa Chang

28 papers receiving 397 citations

Peers

Chun‐Fa Chang
Comparison fields: 5 of 61
  • Computer Graphics and Computer-Aided Design 198
  • Computer Vision and Pattern Recognition 291
  • Computational Mechanics 105
  • Media Technology 30
  • Acoustics and Ultrasonics 3
Replace Miklós Hoffmann with:
Miklós Hoffmann Hungary
Minye Wu China
Michael Shantz United States
Jun Xiang China
Yuliy Schwartzburg Switzerland
Mingmin Zhang China
Seung-Hwan Baek South Korea
Aditya Deshpande India
Chun‐Fa Chang relative to Miklós Hoffmann Hungary Miklós Hoffmann's profile →
Citations per field
00.5×3.2×
Miklós Hoffmann · 1×
Citations per year

Countries citing papers authored by Chun‐Fa Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Fa Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Fa Chang. 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 Chun‐Fa Chang. The network helps show where Chun‐Fa Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun‐Fa Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun‐Fa Chang Line = papers co-authored together Chun‐Fa Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999104
2 200462
3 199955
4 200650
5 201135
6 201132
7 200522
8 200412
9 20069
10 20118
11 20107
12 20134
13 20024
14 20024
15 19994
16 20024
17 20043
18 20023
19 20163
20 20103

About Chun‐Fa Chang

Chun‐Fa Chang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Electrical and Electronic Engineering and Materials Chemistry, having authored 30 papers that have together received 439 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (19 papers), 3D Shape Modeling and Analysis (10 papers), Advanced Vision and Imaging (9 papers), Data Visualization and Analytics (4 papers), Power Transformer Diagnostics and Insulation (4 papers), High voltage insulation and dielectric phenomena (4 papers), Video Coding and Compression Technologies (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (198 citations), Computer Vision and Pattern Recognition (291 citations), Computational Mechanics (105 citations), Media Technology (30 citations) and Acoustics and Ultrasonics (3 citations). Chun‐Fa Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Gary Bishop, Anselmo Lastra, Norman P. Jouppi, Hsiang‐Ting Chen, Li‐Yi Wei, Wan‐Chun Ma, Qi Su, Bing‐Yu Chen, Ming Ouhyoung and Yung‐Yu Chuang. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Circuits and Systems for Video Technology, Applied Physics Letters, ACM Transactions on Graphics and The Visual Computer.

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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