Hogun Park

26 papers receiving 232 citations

Peers

Hogun Park
Comparison fields: 5 of 85
  • Human-Computer Interaction 28
  • Computer Vision and Pattern Recognition 43
  • Artificial Intelligence 57
  • Computational Mathematics 1
  • Communication 11
Replace Eduardo Sánchez with:
Eduardo Sánchez Spain
Koh Kakusho Japan
Kaveh Hassani Canada
Kory W. Mathewson Canada
Manolis Sifalakis Netherlands
Wenxiang Jiao China
Zeyu Li China
Taner Arsan Türkiye
Dimitrios Rodopoulos Greece
Jungwoo Song United States
Hogun Park relative to Eduardo Sánchez Spain Eduardo Sánchez's profile →
Citations per field
00.5×
Eduardo Sánchez · 1×
Citations per year

Countries citing papers authored by Hogun Park

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hogun Park Line = papers co-authored together Hogun Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202373
2 202324
3 201923
4 201913
5 202311
6 201311
7 202010
8 20118
9 20238
10 20188
11 20247
12 20236
13 20115
14 20084
15 20074
16 20233
17 20243
18 20123
19 20142
20 20222

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 236 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Multimedia Communication and Technology (6 papers), Recommender Systems and Techniques (5 papers), Video Analysis and Summarization (5 papers), Topic Modeling (4 papers), Data Quality and Management (3 papers), Caching and Content Delivery (3 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Human-Computer Interaction (28 citations), Computer Vision and Pattern Recognition (43 citations), Artificial Intelligence (57 citations), Computational Mathematics (1 citation) 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, Heesoo Jung, So‐Young Lee, Kyung Jae Yoon, Jooho Kim, Heedong Ko and Seungho Baek. Their work appears in journals such as Advanced Functional Materials, Expert Systems with Applications, International Journal of Information Management, Materials Science and Engineering A and Information Sciences.

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.

Explore authors with similar magnitude of impact