Sun Chan

502 citations
10 papers · 371 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

    • Parallel Computing and Optimization Techniques 10
    • Embedded Systems Design Techniques 2
    • Logic, programming, and type systems 6
    • Security and Verification in Computing 4
    • Algorithms and Data Compression 2

Sun Chan

10 papers receiving 343 citations

Peers

Sun Chan
Comparison fields: 5 of 19
  • Hardware and Architecture 312
  • Software 77
  • Artificial Intelligence 237
  • Computer Networks and Communications 141
  • Computational Theory and Mathematics 78
Replace Shin-Ming Liu with:
Shin-Ming Liu United States
Dhananjay M. Dhamdhere India
Ben-Chung Cheng United States
Evan Tick United States
Norbert W. Schirmer Germany
William R. Bevier United States
Ran Shaham Israel
Kalyan Muthukumar United States
Johann Blieberger Austria
Christopher A. Vick United States
Sun Chan relative to Shin-Ming Liu United States Shin-Ming Liu's profile →
Citations per field
00.5×1.5×
Shin-Ming Liu · 1×
Citations per year

Countries citing papers authored by Sun Chan

Since Specialization
Citations

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

Fields of papers citing papers by Sun Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Sun Chan, 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 Sun Chan Line = papers co-authored together Sun Chan links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1996102
2 199792
3 199959
4 200342
5 200337
6 199718
7 200411
8 20055
9 19944
10 20031

About Sun Chan

Sun Chan is a scholar working on Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Insect Science, having authored 10 papers that have together received 371 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Logic, programming, and type systems (6 papers), Security and Verification in Computing (4 papers), Advanced Data Storage Technologies (3 papers), Formal Methods in Verification (3 papers), Embedded Systems Design Techniques (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Hardware and Architecture (312 citations), Software (77 citations), Artificial Intelligence (237 citations), Computer Networks and Communications (141 citations) and Computational Theory and Mathematics (78 citations). Sun Chan has collaborated with scholars based in United States and China. Frequent co-authors include Raymond Lo, Fred Chow, Shin-Ming Liu, Robert E. Kennedy, Peng Tu, Roy Dz-Ching Ju, Tin‐Fook Ngai, Tong Chen, Pen-Chung Yew and Wei‐Chung Hsu. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Lecture notes in computer science and ACM Transactions on Architecture and Code Optimization.

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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