Suhyun Cha

445 citations
31 papers · 349 · h-index 9

Impact in

Papers in

Suhyun Cha

29 papers receiving 314 citations

Peers

Suhyun Cha
Comparison fields: 5 of 40
  • Software 197
  • Safety, Risk, Reliability and Quality 81
  • Industrial and Manufacturing Engineering 61
  • Hardware and Architecture 34
  • Statistics, Probability and Uncertainty 33
Replace Gilles Motet with:
Gilles Motet France
Francesca Saglietti Germany
Charles B. Weinstock United States
Julien Brunel France
Carmen J. Trammell United States
Robert J. Stroud United Kingdom
Andreas Thums Germany
W.D. Obal United States
M.A. Qureshi United States
Chokri Mraidha France
Suhyun Cha relative to Gilles Motet France Gilles Motet's profile →
Citations per field
00.5×2×4×6×7.6×
Gilles Motet · 1×
Citations per year

Countries citing papers authored by Suhyun Cha

Since Specialization
Citations

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

Fields of papers citing papers by Suhyun Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990108
2 1991107
3 201816
4 201713
5 201711
6 201710
7 20179
8 20179
9 20189
10 20199
11 20196
12 20205
13 20204
14 20093
15 20173
16 20183
17 20203
18 20213
19 20022
20 20122

About Suhyun Cha

Suhyun Cha is a scholar working on Industrial and Manufacturing Engineering, Software, Safety, Risk, Reliability and Quality, Computational Theory and Mathematics and Management Information Systems, having authored 31 papers that have together received 349 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (17 papers), Safety Systems Engineering in Autonomy (10 papers), Software Reliability and Analysis Research (9 papers), Formal Methods in Verification (5 papers), Software Testing and Debugging Techniques (5 papers), Manufacturing Process and Optimization (5 papers), Business Process Modeling and Analysis (3 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Software (197 citations), Safety, Risk, Reliability and Quality (81 citations), Industrial and Manufacturing Engineering (61 citations), Hardware and Architecture (34 citations) and Statistics, Probability and Uncertainty (33 citations). Suhyun Cha has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Timothy J. Shimeall, Nancy Leveson, John C. Knight, Birgit Vogel‐Heuser, Bernhard Beckert, Mattias Ulbrich, Juliana Bowles, Robert Heinrich, Ralf Reussner and Salim Bougouffa. Their work appears in journals such as IEEE Software, Journal of Pain, Science of Computer Programming, IEEE Transactions on Automation Science and Engineering and Journal of Systems and Software.

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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