Yoon-Sik Cho

47 papers receiving 284 citations

Peers

Yoon-Sik Cho
Comparison fields: 5 of 100
  • Transportation 39
  • Aquatic Science 25
  • Global and Planetary Change 71
  • Health Informatics 4
  • Statistical and Nonlinear Physics 36
Replace Benjamin Säfken with:
Benjamin Säfken Germany
Chandra Erdman United States
Muzailin Affan Indonesia
Juho Piironen Finland
Richard L. Wilson United States
Youngok Kang South Korea
Joshua Kent United States
Yao Zhou China
Siqi Wu China
Ourania Kounadi Austria
Yoon-Sik Cho relative to Benjamin Säfken Germany Benjamin Säfken's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yoon-Sik Cho

Since Specialization
Citations

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

Fields of papers citing papers by Yoon-Sik Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon-Sik Cho. 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 Yoon-Sik Cho. The network helps show where Yoon-Sik Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201147
2 202039
3 202023
4 201615
5 201115
6 201415
7
Latent Point Process Models for Spatial-Temporal Networks
201312
8 201410
9 20129
10 20119
11 20209
12 20198
13 20117
14 20227
15 20197
16 20136
17
Socially Relevant Venue Clustering from Check-in Data
20136
18 20226
19
Application of Ecological Indicator to Sustainable Use of Oyster Culture Grounds in GeojeHansan Bay, Korea
20105
20 20155

About Yoon-Sik Cho

Yoon-Sik Cho is a scholar working on Global and Planetary Change, Information Systems, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics and Transportation, having authored 57 papers that have together received 332 indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (10 papers), Agriculture, Soil, Plant Science (9 papers), Human Mobility and Location-Based Analysis (9 papers), Complex Network Analysis Techniques (8 papers), Recommender Systems and Techniques (7 papers), Marine and Coastal Research (7 papers), Isotope Analysis in Ecology (5 papers) and Ecology and Conservation Studies (4 papers). The work is most often cited by research in Transportation (39 citations), Aquatic Science (25 citations), Global and Planetary Change (71 citations), Health Informatics (4 citations) and Statistical and Nonlinear Physics (36 citations). Yoon-Sik Cho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Aram Galstyan, Hyung‐Chul Kim, Won‐Chan Lee, Greg Ver Steeg, Young-Duk Seo, P. Jeffrey Brantingham, George Tita, Dominic C. Marshall, Jee Myung Yang and Donghwan Oh. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Journal of Coastal Research, International Journal of Computer Assisted Radiology and Surgery and Ocean & Coastal Management.

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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