Dae‐Seong Lee

728 total citations
42 papers, 507 citations indexed

About

Dae‐Seong Lee is a scholar working on Ecology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dae‐Seong Lee has authored 42 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 11 papers in Nature and Landscape Conservation and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dae‐Seong Lee's work include Species Distribution and Climate Change (11 papers), Freshwater macroinvertebrate diversity and ecology (10 papers) and Fish Ecology and Management Studies (9 papers). Dae‐Seong Lee is often cited by papers focused on Species Distribution and Climate Change (11 papers), Freshwater macroinvertebrate diversity and ecology (10 papers) and Fish Ecology and Management Studies (9 papers). Dae‐Seong Lee collaborates with scholars based in South Korea, United States and India. Dae‐Seong Lee's co-authors include Young‐Seuk Park, YoonKyung Cha, Jihoon Shin, TaeHo Kim, Young Woo Kim, Won Il Choi, Youngwoo Nam, Tae‐Sung Kwon, Hyo‐Hoon Park and Hyeonho Yoon and has published in prestigious journals such as Optics Letters, Journal of Environmental Management and Advanced Science.

In The Last Decade

Dae‐Seong Lee

34 papers receiving 454 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dae‐Seong Lee South Korea 11 167 107 92 88 57 42 507
Nagahisa Mita Japan 12 315 1.9× 116 1.1× 72 0.8× 64 0.7× 41 0.7× 27 552
Ximing Zhang China 17 138 0.8× 82 0.8× 21 0.2× 169 1.9× 70 1.2× 86 875
Xiaojiang Hong China 11 139 0.8× 77 0.7× 41 0.4× 30 0.3× 36 0.6× 24 384
Ting Hui Ng Singapore 14 240 1.4× 170 1.6× 17 0.2× 87 1.0× 45 0.8× 51 569
W. C. Forsythe United States 10 100 0.6× 28 0.3× 37 0.4× 55 0.6× 43 0.8× 14 557
F Stephenson New Zealand 20 611 3.7× 237 2.2× 128 1.4× 152 1.7× 44 0.8× 112 1.1k
Julien Minet Belgium 14 67 0.4× 65 0.6× 15 0.2× 13 0.1× 57 1.0× 29 794
Javier Velázquez Spain 15 359 2.1× 44 0.4× 60 0.7× 102 1.2× 23 0.4× 63 929
Hyeyeong Choe South Korea 14 155 0.9× 16 0.1× 154 1.7× 169 1.9× 82 1.4× 38 526
Michael J. Mossman United States 10 452 2.7× 27 0.3× 148 1.6× 165 1.9× 91 1.6× 13 665

Countries citing papers authored by Dae‐Seong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Seong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Seong Lee. 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 Dae‐Seong Lee. The network helps show where Dae‐Seong Lee may publish in the future.

Co-authorship network of co-authors of Dae‐Seong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Seong Lee. A scholar is included among the top collaborators of Dae‐Seong Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dae‐Seong Lee. Dae‐Seong Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Lee, Dae‐Seong, Ji‐Hyun Yun, Seung I. Jang, et al.. (2025). Pre‐Administration of Akkermansia Muciniphila Prevents the Development of Severe Acute Graft‐Versus‐Host Disease in Systemic Organs. Advanced Science. 13(9). e15982–e15982.
3.
Kwon, Tae‐Sung, et al.. (2024). Large moths facing steeper decline than small moths in South Korea: Implications for ecosystem dynamics and conservation. Global Ecology and Conservation. 55. e03234–e03234. 1 indexed citations
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Lee, Dae‐Seong, Hyejin Kang, & Young‐Seuk Park. (2024). Analyzing retraction responses of Tubifex tubifex (Oligochaeta: Naididae) colonies to copper treatments through a digital image analysis approach for developing early biological warning systems. Environmental Science and Pollution Research. 31(16). 24559–24566.
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Lee, Dae‐Seong, et al.. (2023). Functional trait dataset of benthic macroinvertebrates in South Korean streams. Scientific Data. 10(1). 838–838. 4 indexed citations
8.
Lee, Dae‐Seong, et al.. (2023). Data-driven models for predicting community changes in freshwater ecosystems: A review. Ecological Informatics. 77. 102163–102163. 19 indexed citations
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Kwon, Tae‐Sung, Dae‐Seong Lee, Won Il Choi, Eun-Sook Kim, & Young‐Seuk Park. (2023). Selection of climate variables in ant species distribution models: case study in South Korea. International Journal of Biometeorology. 68(2). 263–277.
11.
Lee, Dae‐Seong, et al.. (2022). Interpretable machine learning approach to analyze the effects of landscape and meteorological factors on mosquito occurrences in Seoul, South Korea. Environmental Science and Pollution Research. 30(1). 532–546. 3 indexed citations
12.
Lee, Dae‐Seong, et al.. (2022). Taxonomic and Functional Diversity of Benthic Macroinvertebrate Assemblages in Reservoirs of South Korea. International Journal of Environmental Research and Public Health. 20(1). 673–673. 8 indexed citations
13.
Cha, YoonKyung, Jihoon Shin, Dae‐Seong Lee, et al.. (2021). An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates. Journal of Environmental Management. 291. 112719–112719. 79 indexed citations
14.
Lee, Dae‐Seong & Young‐Seuk Park. (2020). Factors Affecting Distribution and Dispersal of <i>Pomacea canaliculata</i> in South Korea.. Korean Journal of Ecology and Environment. 53(2). 185–194. 2 indexed citations
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Youn, Chan‐Hyun, Kyoungsik Yu, Hyo‐Hoon Park, et al.. (2019). Silicon-Based Optical Phased Array Using Electro-Optic $p$ -$i$ -$n$ Phase Shifters. IEEE Photonics Technology Letters. 31(21). 1685–1688. 68 indexed citations
17.
Lee, Dae‐Seong & Young‐Seuk Park. (2019). Evaluation of Potential Distribution Area of the Red Swamp Crayfish (<i>Procambarus clarkia</i>) in South Korea.. Korean Journal of Ecology and Environment. 52(4). 340–347. 10 indexed citations
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Lee, Dae‐Seong, et al.. (2001). A study on the characteristics of flow and spray in a fuel module of airblast atomization type. Journal of the Korean Society for Aeronautical & Space Sciences. 29(1). 88–88. 1 indexed citations
20.
Lee, Dae‐Seong, et al.. (2001). Uncertainty Analysis of Altitude Performance of a Gas Turbine Engine. Journal of the Korean Society for Aeronautical & Space Sciences. 29(1). 128–128. 2 indexed citations

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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