Sungdeok Cha

1.1k citations
53 papers · 660 · h-index 16

Impact in

  • Software top 1%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Advanced Malware Detection Techniques

Papers in

    • Software Reliability and Analysis Research 24
    • Software Testing and Debugging Techniques 15
    • Software Engineering Research 11

Sungdeok Cha

51 papers receiving 616 citations

Peers

Sungdeok Cha
Comparison fields: 5 of 47
  • Software 333
  • Signal Processing 142
  • Information Systems 221
  • Hardware and Architecture 63
  • Computational Theory and Mathematics 142
Replace Stacy Prowell with:
Stacy Prowell United States
Stefan Leue Germany
Jifeng He China
Eliane Martins Brazil
Mohamed Kaâniche France
Dick Hamlet United States
Thai Son Hoang United Kingdom
Jan Madey Canada
Maxime Cordy Luxembourg
Antonio Filieri Germany
Sungdeok Cha relative to Stacy Prowell United States Stacy Prowell's profile →
Citations per field
00.5×4.8×
Stacy Prowell · 1×
Citations per year

Countries citing papers authored by Sungdeok Cha

Since Specialization
Citations

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

Fields of papers citing papers by Sungdeok Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sungdeok Cha, 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 Sungdeok Cha Line = papers co-authored together Sungdeok Cha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200452
2 201748
3 200437
4 200936
5 200935
6 200335
7 200431
8 200928
9 200824
10 200923
11
Proceedings of the 6th International Symposium on Automated Technology for Verification and Analysis
200822
12 200022
13 201419
14 201218
15 201916
16 201316
17 201415
18 201015
19 200414
20 200711

About Sungdeok Cha

Sungdeok Cha is a scholar working on Software, Information Systems, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 53 papers that have together received 660 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (24 papers), Software Testing and Debugging Techniques (15 papers), Software Engineering Research (11 papers), Formal Methods in Verification (11 papers), Software System Performance and Reliability (8 papers), Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers) and Safety Systems Engineering in Autonomy (7 papers). The work is most often cited by research in Software (333 citations), Signal Processing (142 citations), Information Systems (221 citations), Hardware and Architecture (63 citations) and Computational Theory and Mathematics (142 citations). Sungdeok Cha has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Junbeom Yoo, Sang‐Hyun Cho, Eunkyoung Jee, Doo‐Hwan Bae, Hakjoo Oh, Jang‐Soo Lee, Jeongseok Seo, Ah‐Rim Han, Young‐Gab Kim and Dong Kun Lee. Their work appears in journals such as Reliability Engineering & System Safety, Computers & Security, Information and Software Technology, IEEE Software and Software Testing Verification and Reliability.

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.

Explore authors with similar magnitude of impact