Chul-Su Kim

866 citations
66 papers · 680 · h-index 11

Impact in

Papers in

Chul-Su Kim

57 papers receiving 646 citations

Peers

Chul-Su Kim
Comparison fields: 5 of 109
  • Health, Toxicology and Mutagenesis 112
  • Pollution 82
  • Insect Science 76
  • Plant Science 193
  • Civil and Structural Engineering 69
Replace Ji Zhang with:
Ji Zhang China
Yihan Wang China
Rouzbeh Abbaszadeh Iran
Di Cui China
Weiqi Chen China
Manuel Benedetti Italy
Weining Hao China
Khaled Khaled Jordan
Zhiyu Hao China
Qian Jiang China
Chul-Su Kim relative to Ji Zhang China Ji Zhang's profile →
Citations per field
00.5×3.4×
Ji Zhang · 1×
Citations per year

Countries citing papers authored by Chul-Su Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chul-Su Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005139
2 2015116
3 200263
4 200556
5 202043
6 202125
7 201718
8 201318
9 202016
10 201915
11 201111
12 202110
13 20049
14 20129
15 20189
16 20178
17
Effects on Control of Pine Wilt Disease (Bursaphelenchus xylophilus) by Thinning Methods in Red Pine(Pinus densiflora) Forest
20117
18 20226
19 20066
20 20116

About Chul-Su Kim

Chul-Su Kim is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Computer Networks and Communications, Health, Toxicology and Mutagenesis and Pollution, having authored 66 papers that have together received 680 indexed citations. Recurring topics across this work include Engineering Applied Research (22 papers), Toxic Organic Pollutants Impact (10 papers), Railway Engineering and Dynamics (9 papers), Mechanical Engineering and Vibrations Research (6 papers), Fatigue and fracture mechanics (5 papers), Machine Fault Diagnosis Techniques (4 papers), Microbial bioremediation and biosurfactants (4 papers) and Forest Insect Ecology and Management (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (112 citations), Pollution (82 citations), Insect Science (76 citations), Plant Science (193 citations) and Civil and Structural Engineering (69 citations). Chul-Su Kim has collaborated with scholars based in South Korea, Hong Kong and Vietnam. Frequent co-authors include Jung-Kyu Kim, Sang‐Chul Shin, Il‐Kwon Park, Juyong Park, In‐Ho Choi, Kwang‐Sik Choi, Kyung‐Hee Kim, Sung‐Deuk Choi, Jin-Woo Jeon and Young‐Joon Ahn. Their work appears in journals such as Applied Sciences, Environmental Pollution, Materials Science and Engineering A, The Science of The Total Environment and Chemosphere.

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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