Tae Kyung Yoon

1.4k total citations
70 papers, 1.0k citations indexed

About

Tae Kyung Yoon is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Plant Science. According to data from OpenAlex, Tae Kyung Yoon has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nature and Landscape Conservation, 20 papers in Global and Planetary Change and 19 papers in Plant Science. Recurrent topics in Tae Kyung Yoon's work include Forest ecology and management (16 papers), Ecology and Conservation Studies (11 papers) and Forest Ecology and Biodiversity Studies (10 papers). Tae Kyung Yoon is often cited by papers focused on Forest ecology and management (16 papers), Ecology and Conservation Studies (11 papers) and Forest Ecology and Biodiversity Studies (10 papers). Tae Kyung Yoon collaborates with scholars based in South Korea, Japan and Qatar. Tae Kyung Yoon's co-authors include Yowhan Son, Haegeun Chung, Nam Jin Noh, Woong Kim, Ji‐Hyung Park, Seung Wook Kim, Most Shirina Begum, Choonsig Kim, Namgoo Kang and Neung‐Hwan Oh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Soil Science Society of America Journal.

In The Last Decade

Tae Kyung Yoon

62 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae Kyung Yoon South Korea 17 357 236 215 171 162 70 1.0k
Jason Lynch United States 16 254 0.7× 149 0.6× 244 1.1× 179 1.0× 117 0.7× 34 1.1k
Miles R. Marshall United Kingdom 20 309 0.9× 132 0.6× 335 1.6× 384 2.2× 120 0.7× 32 1.6k
Jessica R. Corman United States 17 174 0.5× 250 1.1× 333 1.5× 68 0.4× 283 1.7× 41 1.3k
J.J.M. de Klein Netherlands 20 207 0.6× 137 0.6× 520 2.4× 84 0.5× 250 1.5× 30 1.4k
Joanna R. Blaszczak United States 16 146 0.4× 283 1.2× 376 1.7× 94 0.5× 150 0.9× 29 1.1k
Dunmei Lin China 22 491 1.4× 631 2.7× 288 1.3× 223 1.3× 62 0.4× 52 1.5k
Sebastian Ostberg Germany 17 750 2.1× 109 0.5× 176 0.8× 98 0.6× 42 0.3× 28 1.4k
Yufeng Li China 14 198 0.6× 89 0.4× 372 1.7× 110 0.6× 123 0.8× 41 1.0k
Xianming Gao China 12 207 0.6× 330 1.4× 335 1.6× 109 0.6× 30 0.2× 44 953
Yang Lin United States 22 329 0.9× 232 1.0× 526 2.4× 762 4.5× 26 0.2× 56 1.6k

Countries citing papers authored by Tae Kyung Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Tae Kyung Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Kyung Yoon. 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 Kyung Yoon. The network helps show where Tae Kyung Yoon may publish in the future.

Co-authorship network of co-authors of Tae Kyung Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Kyung Yoon. A scholar is included among the top collaborators of Tae Kyung Yoon 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 Tae Kyung Yoon. Tae Kyung Yoon 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
1.
Lee, Jeong Min, Seung-Min Lee, Sang-Jin Lee, et al.. (2025). Enhanced Accuracy in Urban Tree Biomass Estimation: Developing Allometric Equations with Land Use Classifications. Forests. 16(5). 841–841.
2.
Lee, Seung-Min, et al.. (2024). Estimating aboveground volume of diverse urban tree species: Developing allometric equations for higher taxonomic levels. Urban forestry & urban greening. 94. 128256–128256. 7 indexed citations
3.
Yoon, Tae Kyung, Seung-Min Lee, Seung-Min Lee, et al.. (2024). Root Biomass Allocation and Carbon Sequestration in Urban Landscaping Tree Species in South Korea. Forests. 15(12). 2104–2104. 1 indexed citations
4.
Jun, S. Y., Seungmin Lee, Sangjin Lee, et al.. (2024). High Variability in Urban Tree Growth: Necessity of Size-Dependent Estimation with Emphasis on Large-Diameter Trees. Forests. 15(12). 2091–2091.
6.
Yoon, Tae Kyung, et al.. (2018). Longitudinal discontinuities in riverine greenhouse gas dynamics generated by dams and urban wastewater. Biogeosciences. 15(20). 6349–6369. 54 indexed citations
7.
Yoon, Tae Kyung, et al.. (2016). Technical note: Assessing gas equilibration systems for continuous p CO 2 measurements in inland waters. Biogeosciences. 13(13). 3915–3930. 27 indexed citations
9.
Yoon, Tae Kyung, et al.. (2016). Surface Soil Carbon Storage in Urban Green Spaces in Three Major South Korean Cities. Forests. 7(6). 115–115. 19 indexed citations
10.
Lee, Joongku, Tae Kyung Yoon, Sang Woo Han, et al.. (2014). Estimating the carbon dynamics of South Korean forests from 1954 to 2012. Biogeosciences. 11(17). 4637–4650. 47 indexed citations
11.
Han, Seung Hyun, Haegeun Chung, Nam Jin Noh, et al.. (2014). Effect of open-field experimental warming on the leaf phenology of oriental oak (Quercus variabilis) seedlings. Journal of Plant Ecology. 7(6). 559–566. 17 indexed citations
12.
Kim, Jiyeon, et al.. (2013). A Study on Greenhouse Gas Removals Estimation of a Small Scale Afforestation/reforestation CDM Pilot Project in Goseong, Gangwon Province. Journal of Korean Society of Forest Science. 102(3). 398–406.
13.
Noh, Nam Jin, Choonsig Kim, Sang Won Bae, et al.. (2013). Carbon and nitrogen dynamics in a Pinus densiflora forest with low and high stand densities. Journal of Plant Ecology. 6(5). 368–379. 32 indexed citations
14.
Yoon, Tae Kyung, Haegeun Chung, Nam Jin Noh, et al.. (2012). Effects of Experimental Warming on Growth of Quercus variabilis Seedlings. Journal of Korean Society of Forest Science. 101(4). 722–728. 6 indexed citations
15.
Noh, Nam Jin, Yowhan Son, Tae Kyung Yoon, et al.. (2010). Influence of stand density on soil CO2 efflux for a Pinus densiflora forest in Korea. Journal of Plant Research. 123(4). 411–419. 48 indexed citations
16.
Yoon, Tae Kyung, et al.. (2009). Estimation of Forest Soil Carbon Stocks with Yasso using a Dendrochronological Approach. Journal of Korean Society of Forest Science. 98(6). 791–798. 3 indexed citations
17.
Lee, Soo‐Kyung, et al.. (2009). Carbon Storage of Natural Pine and Oak Pure and Mixed Forests in Hoengseong, Kangwon. Journal of Korean Society of Forest Science. 98(6). 772–779. 7 indexed citations
18.
Yoon, Jongsun, et al.. (2003). Growth Characteristics and Search for Eligible Cultivation Area of Rhodiola sachalinensis A. Boriss.. Korean Journal of Plant Resources. 16(3). 212–217. 3 indexed citations
19.
Kim, Hakhyun, Si-Dong Kim, Ju-Hyung Kim, et al.. (2002). Effect of Temperature, Light and Priming Treatment on Seed Germination of Typha orientalis Presl.. Korean Journal of Plant Resources. 15(3). 279–284. 2 indexed citations
20.
Yoon, Tae Kyung, et al.. (1993). Methane Production by Anaerobic Digestion of Grain Dust in a Plug Flow Digester. Journal of Environmental Sciences. 2(4). 311–316.

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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