Daejun Park
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Information Systems top 2%
- Blockchain Technology Applications and Security
Papers in
-
- Security and Verification in Computing 7
- Logic, programming, and type systems 4
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- Advanced Image Processing Techniques 5
- Advanced Vision and Imaging 3
- Co-authors
- Grigore Roşu (7 shared papers)Andrei Ștefănescu (5 shared papers)Yi Zhang (2 shared papers)Manasvi Saxena (2 shared papers)Philip Daian (2 shared papers)Jung Hee Cheon (1 shared paper)Seungwan Hong (1 shared paper)Nishant Rodrigues (1 shared paper)
- Journals
- ACM SIGPLAN Notices (2 papers)IEEE Access (2 papers)Journal of Automated Reasoning (1 paper)International journal of communication (1 paper)ACM Transactions on Programming Languages and Systems (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Daejun Park
19 papers receiving 545 citations
Peers
Comparison fields: 5 of 48
- Software 57
- Information Systems 307
- Signal Processing 115
- Artificial Intelligence 274
- Hardware and Architecture 51
Countries citing papers authored by Daejun Park
This map shows the geographic impact of Daejun Park'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 Daejun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daejun Park more than expected).
Fields of papers citing papers by Daejun Park
This network shows the impact of papers produced by Daejun Park. 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 Daejun Park. The network helps show where Daejun Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Daejun Park, 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 | 2018 | 197 | |
| 2 | 2019 | 71 | |
| 3 | 2017 | 67 | |
| 4 | 2018 | 62 | |
| 5 | 2015 | 49 | |
| 6 | 2016 | 26 | |
| 7 | 2019 | 25 | |
| 8 | iJournaling: Fine-Grained Journaling for Improving the Latency of Fsync System Call | 2017 | 23 |
| 9 | 2014 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2015 | 5 | |
| 12 | 2020 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2018 | 1 | |
| 16 | Adaptive Edge-Directed Interpolation Using Edge Map Analysis | 2017 | 1 |
| 17 | Modified New Edge-Directed Interpolation Using Window Extension | 2017 | 1 |
| 18 | 2018 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2015 | 1 |
About Daejun Park
Daejun Park is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 20 papers that have together received 561 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Advanced Image Processing Techniques (5 papers), Logic, programming, and type systems (4 papers), Advanced Malware Detection Techniques (3 papers), Distributed systems and fault tolerance (3 papers), Formal Methods in Verification (3 papers), Advanced Vision and Imaging (3 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Software (57 citations), Information Systems (307 citations), Signal Processing (115 citations), Artificial Intelligence (274 citations) and Hardware and Architecture (51 citations). Daejun Park has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Grigore Roşu, Andrei Ștefănescu, Yi Zhang, Manasvi Saxena, Philip Daian, Jung Hee Cheon, Seungwan Hong, Nishant Rodrigues, Xiaoran Zhu and Brandon Moore. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Access, Journal of Automated Reasoning, International journal of communication and ACM Transactions on Programming Languages and Systems.
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.