Hakjoo Oh
- Software top 0.5%
- Software Testing and Debugging Techniques 44
- Software Reliability and Analysis Research 11
- Signal Processing top 1%
- Advanced Malware Detection Techniques 14
- Information Systems top 1%
- Software Engineering Research 28
- Hardware and Architecture top 5%
- Artificial Intelligence top 5%
- Logic, programming, and type systems 11
- Security and Verification in Computing 11
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- Formal Methods in Verification 11
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- Teaching and Learning Programming 7
- Co-authors
- Heejo LeeKwangkeun YiSeulbae KimSeunghoon WooKihong HeoHongseok YangWonchan LeeMyungho Lee
- Journals
- Proceedings of the ACM on Programming Languages (11 papers)ACM Transactions on Programming Languages and Systems (6 papers)ACM SIGPLAN Notices (4 papers)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Hakjoo Oh
57 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Software 669
- Signal Processing 479
- Information Systems 694
- Hardware and Architecture 114
- Artificial Intelligence 434
Countries citing papers authored by Hakjoo Oh
This map shows the geographic impact of Hakjoo Oh'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 Hakjoo Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakjoo Oh more than expected).
Fields of papers citing papers by Hakjoo Oh
This network shows the impact of papers produced by Hakjoo Oh. 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 Hakjoo Oh. The network helps show where Hakjoo Oh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hakjoo Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2021 | 5 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 25 | |
| 9 | VUDDY: A Scalable Approach for Vulnerable Code Clone Discoverybreakdown → | 2017 | 226 |
| 10 | Synthesizing imperative programs for introductory programming assignments | 2017 | 1 |
| 11 | 2017 | 2 | |
| 12 | 2017 | 39 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 46 | |
| 15 | 2015 | 35 | |
| 16 | 2014 | 53 | |
| 17 | 2014 | 12 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 13 | |
| 20 | 2005 | 50 |
About Hakjoo Oh
Hakjoo Oh is a scholar working on Software, Information Systems, Signal Processing, Computer Science Applications and Artificial Intelligence, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (44 papers), Software Engineering Research (28 papers), Advanced Malware Detection Techniques (14 papers), Software Reliability and Analysis Research (11 papers), Logic, programming, and type systems (11 papers), Security and Verification in Computing (11 papers), Formal Methods in Verification (11 papers) and Teaching and Learning Programming (7 papers). The work is most often cited by research in Software (669 citations), Signal Processing (479 citations), Information Systems (694 citations), Hardware and Architecture (114 citations) and Artificial Intelligence (434 citations). Hakjoo Oh has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Heejo Lee, Kwangkeun Yi, Seulbae Kim, Seunghoon Woo, Kihong Heo, Hongseok Yang, Wonchan Lee, Myungho Lee, Woosuk Lee and Jisu Park. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM Transactions on Programming Languages and Systems, ACM SIGPLAN Notices, Software Practice and Experience and Information and Software Technology.
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.