Yejin Kim

72 papers and 992 indexed citations i.

About

Yejin Kim is a scholar working on Artificial Intelligence, Global and Planetary Change and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yejin Kim has authored 72 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Global and Planetary Change and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yejin Kim’s work include Flood Risk Assessment and Management (9 papers), Recommender Systems and Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). Yejin Kim is often cited by papers focused on Flood Risk Assessment and Management (9 papers), Recommender Systems and Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). Yejin Kim collaborates with scholars based in South Korea, United States and Iran. Yejin Kim's co-authors include Chanyoung Park, Hwanjo Yu, Jiawei Han, Jinoh Oh, Chanyoung Park, In Young Choi, Mi Jung Rho, Min‐Jung Kwak, Kyung‐Ah Kim and Supriya R. Hyam and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Yejin Kim i

Fields of papers citing papers by Yejin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yejin Kim

Since Specialization
Citations

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

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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2025