Heejin Park
Impact in
- Leadership and Management top 5%
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Algorithms and Data Compression 10
- Coding theory and cryptography 5
-
- Cryptography and Residue Arithmetic 5
- Educational Systems and Policies 5
- Co-authors
- Kunsoo Park (8 shared papers)Eunok Paek (6 shared papers)Hyunwoo Kim (6 shared papers)Jeong Seop Sim (4 shared papers)Seungjin Na (2 shared papers)Kong‐Joo Lee (2 shared papers)Jaeho Jeong (2 shared papers)Sang‐Wook Kim (3 shared papers)
- Journals
- Theoretical Computer Science (5 papers)BMC Bioinformatics (2 papers)Journal of Proteome Research (2 papers)Scientific Reports (1 paper)Algorithmica (1 paper)
- Partner nations
- South KoreaUnited StatesSudan
In The Last Decade
Heejin Park
57 papers receiving 422 citations
Peers
Comparison fields: 5 of 98
- Leadership and Management 13
- Spectroscopy 96
- Hardware and Architecture 31
- Artificial Intelligence 113
- Rehabilitation 16
Countries citing papers authored by Heejin Park
This map shows the geographic impact of Heejin 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 Heejin Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heejin Park more than expected).
Fields of papers citing papers by Heejin Park
This network shows the impact of papers produced by Heejin 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 Heejin Park. The network helps show where Heejin Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Heejin 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
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 43 | |
| 2 | 2004 | 43 | |
| 3 | 2008 | 28 | |
| 4 | 2014 | 23 | |
| 5 | 2020 | 23 | |
| 6 | 2013 | 22 | |
| 7 | 2007 | 21 | |
| 8 | 2024 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2015 | 11 | |
| 14 | 2013 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2001 | 9 | |
| 17 | 2007 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 7 |
About Heejin Park
Heejin Park is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Spectroscopy and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 443 indexed citations. Recurring topics across this work include Algorithms and Data Compression (10 papers), Advanced Proteomics Techniques and Applications (8 papers), Genomics and Phylogenetic Studies (6 papers), Coding theory and cryptography (5 papers), Cryptography and Residue Arithmetic (5 papers), Educational Systems and Policies (5 papers), Chaos-based Image/Signal Encryption (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Leadership and Management (13 citations), Spectroscopy (96 citations), Hardware and Architecture (31 citations), Artificial Intelligence (113 citations) and Rehabilitation (16 citations). Heejin Park has collaborated with scholars based in South Korea, United States and Sudan. Frequent co-authors include Kunsoo Park, Eunok Paek, Hyunwoo Kim, Jeong Seop Sim, Seungjin Na, Kong‐Joo Lee, Jaeho Jeong, Sang‐Wook Kim, Sang‐Won Lee and Sunho Lee. Their work appears in journals such as Theoretical Computer Science, BMC Bioinformatics, Journal of Proteome Research, Scientific Reports and Algorithmica.
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.