Sungdeok Cha

789 citations
41 papers · 531 · h-index 16

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Advanced Malware Detection Techniques

Papers in

    • Software Reliability and Analysis Research 17
    • Software Testing and Debugging Techniques 12
    • Software Engineering Research 8
    • Spam and Phishing Detection 4

Sungdeok Cha

40 papers receiving 493 citations

Peers

Sungdeok Cha
Comparison fields: 5 of 43
  • Software 264
  • Signal Processing 127
  • Information Systems 182
  • Hardware and Architecture 52
  • Computational Theory and Mathematics 114
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Citations per field
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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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200452
2 201746
3 200437
4 200935
5 200334
6 200928
7 200824
8 200923
9
Proceedings of the 6th International Symposium on Automated Technology for Verification and Analysis
200822
10 200022
11 201419
12 201218
13 201316
14 201415
15 201015
16 201915
17 200712
18 200511
19
Automatic Test Generation from Statecharts Using Model Checking
200111
20 20118

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 41 papers that have together received 531 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (17 papers), Software Testing and Debugging Techniques (12 papers), Software Engineering Research (8 papers), Formal Methods in Verification (8 papers), Software System Performance and Reliability (7 papers), Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (6 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Software (264 citations), Signal Processing (127 citations), Information Systems (182 citations), Hardware and Architecture (52 citations) and Computational Theory and Mathematics (114 citations). Sungdeok Cha has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Junbeom Yoo, Sang‐Hyun Cho, Doo‐Hwan Bae, Hakjoo Oh, Eunkyoung Jee, Jang‐Soo Lee, Young‐Gab Kim, Ah‐Rim Han, Dong Kun Lee and Moonzoo Kim. Their work appears in journals such as Computers & Security, Information and Software Technology, Nuclear Engineering and Technology, Future Generation Computer Systems 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.

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