Hogun Park
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
-
- Advanced Graph Neural Networks 6
- Topic Modeling 4
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- Recommender Systems and Techniques 5
- Information Retrieval and Search Behavior 2
- Co-authors
- Srinivas Gandla (3 shared papers)Sunkook Kim (3 shared papers)Jennifer Neville (2 shared papers)Jae-Seong Kim (2 shared papers)So‐Young Lee (1 shared paper)Kyung Jae Yoon (1 shared paper)Heesoo Jung (1 shared paper)Jooho Kim (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)Advanced Functional Materials (2 papers)Information Sciences (1 paper)International Journal of Information Management (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Hogun Park
26 papers receiving 206 citations
Peers
Comparison fields: 5 of 87
- Human-Computer Interaction 26
- Computer Vision and Pattern Recognition 40
- Computational Mathematics 1
- Artificial Intelligence 52
- Communication 11
Countries citing papers authored by Hogun Park
This map shows the geographic impact of Hogun 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 Hogun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hogun Park more than expected).
Fields of papers citing papers by Hogun Park
This network shows the impact of papers produced by Hogun 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 Hogun Park. The network helps show where Hogun Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Hogun 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 64 | |
| 2 | 2023 | 23 | |
| 3 | 2019 | 21 | |
| 4 | 2019 | 13 | |
| 5 | 2013 | 11 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2011 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2011 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2008 | 4 | |
| 15 | 2007 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2014 | 2 | |
| 20 | 2022 | 2 |
About Hogun Park
Hogun Park is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 31 papers that have together received 214 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Multimedia Communication and Technology (6 papers), Video Analysis and Summarization (5 papers), Recommender Systems and Techniques (5 papers), Topic Modeling (4 papers), Caching and Content Delivery (3 papers), Data Quality and Management (3 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Human-Computer Interaction (26 citations), Computer Vision and Pattern Recognition (40 citations), Computational Mathematics (1 citation), Artificial Intelligence (52 citations) and Communication (11 citations). Hogun Park has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Srinivas Gandla, Sunkook Kim, Jennifer Neville, Jae-Seong Kim, So‐Young Lee, Kyung Jae Yoon, Heesoo Jung, Jooho Kim, Seungho Baek and Heedong Ko. Their work appears in journals such as Expert Systems with Applications, Advanced Functional Materials, Information Sciences, International Journal of Information Management and Knowledge-Based 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.