Man-Sun Kim

894 citations
34 papers · 662 · h-index 13

Impact in

Papers in

Man-Sun Kim

33 papers receiving 648 citations

Peers

Man-Sun Kim
Comparison fields: 5 of 121
  • Sensory Systems 125
  • Condensed Matter Physics 94
  • Molecular Biology 317
  • Statistical and Nonlinear Physics 59
  • Geometry and Topology 37
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V. Matveev United States
Rüdiger Thul United Kingdom
Johannes Schmidt Germany
Hans P. Koch United States
Christoph P. Hofmann Mexico
Marc Courtemanche Canada
Florin V. Chirila United States
Konrad Engel Germany
Vijay Singh United States
Sten Rüdiger Germany
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Citations per field
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Citations per year

Countries citing papers authored by Man-Sun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Man-Sun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996178
2 2007110
3 200948
4 198744
5 202027
6 199625
7 201220
8 200420
9 200620
10 201417
11 201216
12 201014
13 198514
14
An Effective Under-Sampling Method for Class Imbalance Data Problem
200712
15 199911
16 199110
17 20059
18 19929
19 20189
20 20048

About Man-Sun Kim

Man-Sun Kim is a scholar working on Molecular Biology, Condensed Matter Physics, Artificial Intelligence, Mathematical Physics and Statistical and Nonlinear Physics, having authored 34 papers that have together received 662 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (8 papers), Bioinformatics and Genomic Networks (6 papers), Stochastic processes and statistical mechanics (4 papers), Plant Gene Expression Analysis (4 papers), Gene Regulatory Network Analysis (4 papers), Neural Networks and Applications (3 papers), Quantum many-body systems (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Sensory Systems (125 citations), Condensed Matter Physics (94 citations), Molecular Biology (317 citations), Statistical and Nonlinear Physics (59 citations) and Geometry and Topology (37 citations). Man-Sun Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Uhtaek Oh, Walter Kölch, Oliver Rath, Kwang‐Hyun Cho, Jeong‐Rae Kim, B. Kahng, Paul A. Pearce, Hawoong Jeong, Chang Ho Seo and Dongsan Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Physical Review A, Physical Review Letters, The European Physical Journal B and Horticulture Environment and Biotechnology.

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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