Sun Park

857 citations
78 papers · 469 · h-index 9

Impact in

    • Recommender Systems and Techniques
    • Web Data Mining and Analysis
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies

Papers in

Sun Park

64 papers receiving 423 citations

Peers

Sun Park
Comparison fields: 5 of 78
  • Information Systems 157
  • Artificial Intelligence 205
  • Computer Networks and Communications 96
  • Management Science and Operations Research 48
  • Computational Mathematics 2
Replace Changqing Ji with:
Changqing Ji China
Jyh-Herng Chow United States
Kalaiarasi Sonai Muthu Anbananthen Malaysia
Hany Harb Egypt
Vladimir Rubin Germany
LI Cheng-hui China
Laurent Lefort Australia
Kaize Shi China
Amit Thakkar India
Sun Park relative to Changqing Ji China Changqing Ji's profile →
Citations per field
00.5×1.6×
Changqing Ji · 1×
Citations per year

Countries citing papers authored by Sun Park

Since Specialization
Citations

This map shows the geographic impact of Sun 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 Sun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Park more than expected).

Fields of papers citing papers by Sun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun 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 Sun Park. The network helps show where Sun Park may publish in the future.

Co-authors

The 25 scholars most cited alongside Sun 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 Sun Park Line = papers co-authored together Sun Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008111
2 201160
3 201335
4 202125
5 201322
6 201419
7 201016
8
Topic-based Multi-document Summarization Using Non-negative Matrix Factorization and K-means
200812
9 202011
10 20238
11 20188
12 20108
13 20107
14 20137
15 20086
16 20156
17 20106
18 20106
19 20226
20
E-mail Classification and Category Re-organization using Dynamic Category Hierarchy and PCA
20095

About Sun Park

Sun Park is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Ocean Engineering, having authored 78 papers that have together received 469 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (14 papers), Advanced Text Analysis Techniques (13 papers), Topic Modeling (11 papers), Caching and Content Delivery (8 papers), IoT and Edge/Fog Computing (7 papers), Marine and Coastal Research (6 papers), Web Data Mining and Analysis (6 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Information Systems (157 citations), Artificial Intelligence (205 citations), Computer Networks and Communications (96 citations), Management Science and Operations Research (48 citations) and Computational Mathematics (2 citations). Sun Park has collaborated with scholars based in South Korea, Malaysia and Pakistan. Frequent co-authors include Ju-Hong Lee, Seong Ro Lee, Daeho Kim, JongWon Kim, Min Song, Jinoh Oh, Seung-Taek Park, Hwanjo Yu, Dong An and Dong An. Their work appears in journals such as Electronics, Personal and Ubiquitous Computing, Applied Intelligence, Journal of Information Display and Journal of Communications and Networks.

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.

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