Yoon-Sik Cho

553 total citations
57 papers, 332 citations indexed

About

Yoon-Sik Cho is a scholar working on Global and Planetary Change, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yoon-Sik Cho has authored 57 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Yoon-Sik Cho's work include Marine Bivalve and Aquaculture Studies (10 papers), Agriculture, Soil, Plant Science (9 papers) and Human Mobility and Location-Based Analysis (9 papers). Yoon-Sik Cho is often cited by papers focused on Marine Bivalve and Aquaculture Studies (10 papers), Agriculture, Soil, Plant Science (9 papers) and Human Mobility and Location-Based Analysis (9 papers). Yoon-Sik Cho collaborates with scholars based in South Korea, United States and United Kingdom. Yoon-Sik Cho's co-authors include Hyung‐Chul Kim, Aram Galstyan, Won‐Chan Lee, Young-Duk Seo, Greg Ver Steeg, P. Jeffrey Brantingham, George Tita, In Kyung Yoo, Hyun Yong Koh and Jee Myung Yang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Ocean & Coastal Management.

In The Last Decade

Yoon-Sik Cho

47 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yoon-Sik Cho South Korea 10 71 50 49 39 39 57 332
Chandra Erdman United States 6 90 1.3× 24 0.5× 49 1.0× 54 1.4× 10 0.3× 7 421
Benjamin Säfken Germany 8 97 1.4× 12 0.2× 90 1.8× 103 2.6× 12 0.3× 23 567
Weihe Wendy Guan United States 9 78 1.1× 34 0.7× 24 0.5× 49 1.3× 89 2.3× 32 437
Muzailin Affan Indonesia 9 68 1.0× 18 0.4× 48 1.0× 42 1.1× 23 0.6× 23 415
Youngok Kang South Korea 10 59 0.8× 11 0.2× 26 0.5× 11 0.3× 99 2.5× 60 354
Siqi Wu China 10 62 0.9× 16 0.3× 72 1.5× 26 0.7× 38 1.0× 26 291
Lida Rashidi Australia 7 149 2.1× 15 0.3× 85 1.7× 15 0.4× 9 0.2× 18 331
Guillaume Kon Kam King France 7 35 0.5× 18 0.4× 19 0.4× 61 1.6× 155 4.0× 16 424
Yao Zhou China 14 247 3.5× 31 0.6× 41 0.8× 16 0.4× 19 0.5× 43 555
Jean‐François Girres France 5 85 1.2× 23 0.5× 34 0.7× 27 0.7× 180 4.6× 13 507

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-authorship network of co-authors of Yoon-Sik Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon-Sik Cho. A scholar is included among the top collaborators of Yoon-Sik Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yoon-Sik Cho. Yoon-Sik Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cho, Yoon-Sik, et al.. (2024). Racial Disparity in Obstructive Sleep Apnea Care and its Impact on Cardiovascular Health. Current Sleep Medicine Reports. 10(4). 414–418. 1 indexed citations
2.
Cho, Yoon-Sik. (2024). Decoupled Variational Graph Autoencoder for Link Prediction. 839–849. 5 indexed citations
3.
Cho, Yoon-Sik, et al.. (2023). Identifying Disease of Interest With Deep Learning Using Diagnosis Code. Journal of Korean Medical Science. 38(11). e77–e77. 2 indexed citations
4.
Lee, Dae-In, et al.. (2023). Site Suitability Assessment Using the Habitat Suitability Index for Oyster (<i>Crassostrea gigas</i>) in Jaran Bay, Korea. Journal of the Korean Society of Marine Environment and Safety. 29(5). 427–434.
5.
6.
Cho, Yoon-Sik, et al.. (2021). Community Structure and Health Assessment of Macrobenthos in Tidal Flats along the West Coast of Korea in Spring and Summer. Journal of the Korean Society of Marine Environment and Safety. 27(4). 500–509.
7.
Lee, Seung Won, Jee Myung Yang, Yoon-Sik Cho, et al.. (2020). Nationwide Results of COVID-19 Contact Tracing in South Korea: Individual Participant Data From an Epidemiological Survey. JMIR Medical Informatics. 8(8). e20992–e20992. 39 indexed citations
8.
To, Minh Nguyen Nhat, Hyun Jeong Kim, Hong Gee Roh, Yoon-Sik Cho, & Jin Tae Kwak. (2019). Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke. International Journal of Computer Assisted Radiology and Surgery. 15(1). 151–162. 8 indexed citations
9.
Kim, Hyung‐Chul, et al.. (2017). Geochemical Characteristics of Surface Sediments and an Evaluation of Trace Metal Pollution in Gomso Bay, Korea, 2011. Korean Journal of Fisheries and Aquatic Sciences. 50(5). 567–575. 2 indexed citations
10.
Cho, Yoon-Sik, et al.. (2017). Mass Balance Using the LOICZ Model in Gomso and Geunso Bays. Journal of the Korean Society of Marine Environment and Safety. 23(7). 869–877.
11.
Cho, Yoon-Sik, et al.. (2017). Estimating Benthic Nutrient Fluxes at the Sediment-Water Interface for the Management of Tidal Flats in Gomso and Geunso Bays. Journal of the Korean Society of Marine Environment and Safety. 23(7). 878–884. 1 indexed citations
12.
Choi, Yoon-Seok, et al.. (2016). A Study on the Habitait Suitability Considering Survival, Growth, Environment for Ruditapes philippinarum in Geunso Bay (Pado and Beopsan). Journal of the Korean Society of Marine Environment and Safety. 22(6). 723–730. 1 indexed citations
13.
Park, Jae Bum, et al.. (2016). Association between employment status and self-rated health: Korean working conditions survey. Annals of Occupational and Environmental Medicine. 28(1). 43–43. 15 indexed citations
14.
Cho, Yoon-Sik, et al.. (2015). Spatio-temporal microalgal and environmental variations of the Hajeonri tidal flat, Gochang, Korea1a. Korean Journal of Environment and Ecology. 29(5). 743–752. 2 indexed citations
15.
Choi, Yoon-Seok, et al.. (2015). Characteristic Distributions of Nutrients and Water Quality Parameters in the Vicinity of Mokpo Harbor after Freshwater Inputs. Journal of the Korean Society of Marine Environment and Safety. 21(6). 617–636. 1 indexed citations
16.
Choi, Yoon-Seok, et al.. (2015). Suitable Site Assessment using Habitat Suitability Index for Ruditapes philippinarum in Gochang(Hajun). Journal of the Korean Society of Marine Environment and Safety. 21(5). 484–491. 5 indexed citations
17.
Cho, Yoon-Sik, Aram Galstyan, P. Jeffrey Brantingham, & George Tita. (2013). Latent Point Process Models for Spatial-Temporal Networks. arXiv (Cornell University). 12 indexed citations
18.
Cho, Yoon-Sik, et al.. (2010). Development of Bivalve Culture Management System based on GIS for Oyster Aquaculture in GeojeHansan Bay. 16(1). 11–20. 2 indexed citations
19.
Jung, Rae-Hong, et al.. (2010). Summer Water Quality Management by Ecological Modelling in Ulsan Bay. 16(1). 1–9. 2 indexed citations
20.
Cho, Yoon-Sik, et al.. (2010). Application of Ecological Indicator to Sustainable Use of Oyster Culture Grounds in GeojeHansan Bay, Korea. 16(1). 21–29. 5 indexed citations

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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