Youngchun Kwon

15 papers and 371 indexed citations i.

About

Youngchun Kwon is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Youngchun Kwon has authored 15 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 11 papers in Materials Chemistry and 7 papers in Molecular Biology. Recurrent topics in Youngchun Kwon’s work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (11 papers) and Molecular spectroscopy and chirality (4 papers). Youngchun Kwon is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (11 papers) and Molecular spectroscopy and chirality (4 papers). Youngchun Kwon collaborates with scholars based in South Korea. Youngchun Kwon's co-authors include Youn-Suk Choi, Seokho Kang, Dongseon Lee, Won‐Joon Son, Jiho Yoo, Inkoo Kim, Eunji Kim, Min‐Sik Park, Sungwoo Hwang and Sangmo Kim and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Physical Chemistry Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Youngchun Kwon i

Fields of papers citing papers by Youngchun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngchun Kwon

Since Specialization
Citations

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