Jong-hoon An

456 citations
9 papers · 359 · h-index 7

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Web Application Security Vulnerabilities

Papers in

    • Software Testing and Debugging Techniques 6
    • Software Engineering Research 6
    • Web Application Security Vulnerabilities 2

Jong-hoon An

8 papers receiving 339 citations

Peers

Jong-hoon An
Comparison fields: 5 of 15
  • Software 160
  • Information Systems 266
  • Hardware and Architecture 79
  • Artificial Intelligence 252
  • Signal Processing 76
Replace Chrislain Razafimahefa with:
Chrislain Razafimahefa Switzerland
Henrique Rebêlo Brazil
Christos Dimoulas United States
Vijayaraghavan Murali United States
Nicolás Rosner United States
Michael M. Vitousek United States
Johannes Henkel United States
Jacob Matthews United States
Jeremy W. Nimmer United States
Ittai Balaban United States
Jong-hoon An relative to Chrislain Razafimahefa Switzerland Chrislain Razafimahefa's profile →
Citations per field
00.5×2×3×4×4.6×
Chrislain Razafimahefa · 1×
Citations per year

Countries citing papers authored by Jong-hoon An

Since Specialization
Citations

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

Fields of papers citing papers by Jong-hoon An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-hoon An. 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 Jong-hoon An. The network helps show where Jong-hoon An may publish in the future.

Co-authors

The 4 scholars most cited alongside Jong-hoon An, 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 Jong-hoon An Line = papers co-authored together Jong-hoon An links everyone, so they are left out of the graph.

All Works

About Jong-hoon An

Jong-hoon An is a scholar working on Software, Information Systems, Artificial Intelligence, Information Systems and Management and Hardware and Architecture, having authored 9 papers that have together received 359 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Software Engineering Research (6 papers), Software Testing and Debugging Techniques (6 papers), Security and Verification in Computing (3 papers), Web Application Security Vulnerabilities (2 papers), Advanced Malware Detection Techniques (1 paper), Scientific Computing and Data Management (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Software (160 citations), Information Systems (266 citations), Hardware and Architecture (79 citations), Artificial Intelligence (252 citations) and Signal Processing (76 citations). Jong-hoon An has collaborated with scholars based in United States. Frequent co-authors include Jeffrey S. Foster, Michael Furr, Michael Hicks and Avik Chaudhuri. Their work appears in journals such as ACM SIGPLAN Notices and University Libraries (University of Maryland).

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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