Chun‐Fa Chang

738 citations
32 papers · 569 · h-index 11

Impact in

Papers in

Chun‐Fa Chang

27 papers receiving 513 citations

Peers

Chun‐Fa Chang
Comparison fields: 5 of 43
  • Computer Graphics and Computer-Aided Design 303
  • Computer Vision and Pattern Recognition 164
  • Hardware and Architecture 34
  • Human-Computer Interaction 30
  • Signal Processing 25
Replace Steven M. Rubin with:
Steven M. Rubin United States
Jiřı́ Bittner Czechia
Kiril Vidimče United States
Peter R. Atherton United States
Nakhoon Baek South Korea
William C. Thibault United States
Minye Wu China
Po‐Han Huang Taiwan
Chun‐Fa Chang relative to Steven M. Rubin United States Steven M. Rubin's profile →
Citations per field
00.5×1.5×2.2×
Steven M. Rubin · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999117
2 200272
3 200470
4 199956
5 200652
6 201137
7 201135
8 200524
9 200418
10 200414
11 200611
12 201110
13 20107
14 20026
15 20095
16 19994
17 20024
18 20024
19 20134
20 20043

About Chun‐Fa Chang

Chun‐Fa Chang is a scholar working on Computer Graphics and Computer-Aided Design, Architecture, Materials Chemistry, Information Systems and Hardware and Architecture, having authored 32 papers that have together received 569 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (22 papers), High voltage insulation and dielectric phenomena (3 papers), Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers), Engineering Education and Pedagogy (1 paper), Reliability and Maintenance Optimization (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (303 citations), Computer Vision and Pattern Recognition (164 citations), Hardware and Architecture (34 citations), Human-Computer Interaction (30 citations) and Signal Processing (25 citations). Chun‐Fa Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Gary Bishop, Anselmo Lastra, Norman Paul Jouppi, Hsiang‐Ting Chen, Li‐Yi Wei, Wan‐Chun Ma, Bing‐Yu Chen, Qi Su, Ming Ouhyoung and Yung‐Yu Chuang. Their work appears in journals such as Computer Graphics Forum, Journal of Applied Mechanics, The Visual Computer, ACM Transactions on Graphics and IEEE Transactions on Circuits and Systems for Video 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.

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