Tae‐Sung Kwon

1.8k citations
88 papers · 1.1k indexed · 1 hit paper · h-index 16

Impact in

Papers in

Tae‐Sung Kwon

83 papers receiving 1.1k citations

Hit Papers

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation 2022 · 259 citations
259202220262023202450100150200250

Peers

Tae‐Sung Kwon
Comparison fields: 5 of 98
  • Ecological Modeling 276
  • Ecology, Evolution, Behavior and Systematics 448
  • Nature and Landscape Conservation 251
  • Insect Science 217
  • Computer Graphics and Computer-Aided Design 45
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Tae‐Sung Kwon relative to J. Ryan Shipley United States J. Ryan Shipley's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tae‐Sung Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Sung Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tae‐Sung Kwon, 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 Tae‐Sung Kwon Line = papers co-authored together Tae‐Sung Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20223
5 20186
6 20187
7 20174
8 20164
9 20168
10 201521
11 201534
12
Rarity and shifts in occurrence of endangered butterflies in South Korea
20141
13 201415
14
Assessment of Productive Areas for Quercus acutissima by Ecoprovince in Korea Using Environmental Factors
20132
15 20138
16 201310
17
Influences of Disturbance Intensity on Community Structure, Species Richness and Abundance of Arthropod Predators (Araneae, Carabidae, Staphylinidae, and Formicidae) in Burned-pine Forest
20124
18 20126
19
Effect of the Application of an Organophosphate Pesticide(Fenitrothion) on Foraging Behavior of Ants
201010
20 201043

About Tae‐Sung Kwon

Tae‐Sung Kwon is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Insect Science, Nature and Landscape Conservation and Genetics, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant and animal studies (51 papers), Insect and Arachnid Ecology and Behavior (36 papers), Species Distribution and Climate Change (25 papers), Ecology and Conservation Studies (21 papers), Ecology and Vegetation Dynamics Studies (17 papers), Animal and Plant Science Education (13 papers), Forest Ecology and Biodiversity Studies (12 papers) and Insect and Pesticide Research (9 papers). The work is most often cited by research in Ecological Modeling (276 citations), Ecology, Evolution, Behavior and Systematics (448 citations), Nature and Landscape Conservation (251 citations), Insect Science (217 citations) and Computer Graphics and Computer-Aided Design (45 citations). Tae‐Sung Kwon has collaborated with scholars based in South Korea, India and Russia. Frequent co-authors include Cheol Min Lee, Gwanghyun Kim, Jong Chul Ye, Sung‐Soo Kim, Young‐Seuk Park, Jong‐Hwan Lim, Jung Hwa Chun, Fengqing Li, Eun Ju Lee and Yong‐Su Kwon. Their work appears in journals such as Zoological studies, Insects, Global Ecology and Conservation, Climatic Change and Journal of Environmental Management.

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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