Tae-Ung Yoon

1.8k total citations
25 papers, 1.5k citations indexed

About

Tae-Ung Yoon is a scholar working on Inorganic Chemistry, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Tae-Ung Yoon has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Inorganic Chemistry, 20 papers in Materials Chemistry and 11 papers in Mechanical Engineering. Recurrent topics in Tae-Ung Yoon's work include Metal-Organic Frameworks: Synthesis and Applications (23 papers), Covalent Organic Framework Applications (18 papers) and Carbon Dioxide Capture Technologies (7 papers). Tae-Ung Yoon is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (23 papers), Covalent Organic Framework Applications (18 papers) and Carbon Dioxide Capture Technologies (7 papers). Tae-Ung Yoon collaborates with scholars based in South Korea, United States and Germany. Tae-Ung Yoon's co-authors include Youn‐Sang Bae, Ki Chul Kim, Min‐Bum Kim, Seo-Yul Kim, Ah-Reum Kim, Seung-Ik Kim, Jeong Hun Kim, Seung-Joon Lee, Young Kyu Hwang and Eun‐Jung Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Materials and Journal of Hazardous Materials.

In The Last Decade

Tae-Ung Yoon

25 papers receiving 1.5k 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-Ung Yoon South Korea 22 1.2k 926 700 126 115 25 1.5k
Houxiao Wu China 24 1.5k 1.3× 1.2k 1.3× 846 1.2× 81 0.6× 184 1.6× 31 1.8k
Hilal Daglar Türkiye 19 1.2k 1.0× 941 1.0× 586 0.8× 174 1.4× 222 1.9× 20 1.6k
Yun‐Lei Peng China 21 1.4k 1.2× 1.3k 1.4× 542 0.8× 126 1.0× 159 1.4× 47 1.8k
Alexander Nuhnen Germany 14 788 0.7× 702 0.8× 566 0.8× 119 0.9× 208 1.8× 19 1.2k
Nicolas Heymans Belgium 18 839 0.7× 682 0.7× 636 0.9× 201 1.6× 197 1.7× 27 1.4k
Martijn F. de Lange Netherlands 13 819 0.7× 717 0.8× 713 1.0× 164 1.3× 86 0.7× 16 1.5k
Sasidhar Gumma India 21 1.1k 0.9× 817 0.9× 652 0.9× 374 3.0× 155 1.3× 36 1.6k
Jiantang Li China 18 1.2k 1.0× 876 0.9× 364 0.5× 77 0.6× 168 1.5× 36 1.4k
Tom Rémy Belgium 12 1.6k 1.4× 1.1k 1.2× 879 1.3× 176 1.4× 129 1.1× 13 1.9k
Jens Möllmer Germany 22 1.0k 0.9× 938 1.0× 670 1.0× 249 2.0× 199 1.7× 61 1.7k

Countries citing papers authored by Tae-Ung Yoon

Since Specialization
Citations

This map shows the geographic impact of Tae-Ung 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-Ung 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-Ung Yoon more than expected).

Fields of papers citing papers by Tae-Ung Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Ung Yoon. A scholar is included among the top collaborators of Tae-Ung 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-Ung Yoon. Tae-Ung 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.
Yoon, Tae-Ung, et al.. (2024). Optimization of cleaning process in semiconductor gas delivery system by computational fluid dynamics simulation. Process Safety and Environmental Protection. 191. 505–522. 2 indexed citations
2.
Kim, Min‐Bum, et al.. (2020). Efficient SF6/N2 separation at high pressures using a zirconium-based mesoporous metal–organic framework. Journal of Industrial and Engineering Chemistry. 84. 179–184. 48 indexed citations
3.
Yoon, Tae-Ung, et al.. (2020). Cu-impregnated metal–organic frameworks for separation and recovery of CO from blast furnace gas. Journal of Industrial and Engineering Chemistry. 87. 102–109. 32 indexed citations
5.
Yoon, Tae-Ung, Sol Ahn, Ah Reum Kim, et al.. (2020). Cyclohexene epoxidation with H2O2 in the vapor and liquid phases over a vanadium-based metal–organic framework. Catalysis Science & Technology. 10(14). 4580–4585. 22 indexed citations
6.
Kang, Jo Hong, Tae-Ung Yoon, Seo-Yul Kim, et al.. (2019). Extraordinarily selective adsorption of CO2 over N2 in a polyethyleneimine-impregnated NU-1000 material. Microporous and Mesoporous Materials. 281. 84–91. 43 indexed citations
7.
Lee, Wang‐Geun, Tae-Ung Yoon, Youn‐Sang Bae, Kwang S. Kim, & Seung Bin Baek. (2019). Selective separation of Xe/Kr and adsorption of water in a microporous hydrogen-bonded organic framework. RSC Advances. 9(63). 36808–36814. 44 indexed citations
8.
Yoon, Tae-Ung, Seung Bin Baek, Dongwook Kim, et al.. (2018). Efficient separation of C2hydrocarbons in a permanently porous hydrogen-bonded organic framework. Chemical Communications. 54(67). 9360–9363. 76 indexed citations
10.
Kim, Min‐Bum, Kyung-min Kim, Tae-Ung Yoon, et al.. (2018). Highly selective adsorption of SF6 over N2 in a bromine-functionalized zirconium-based metal-organic framework. Chemical Engineering Journal. 339. 223–229. 95 indexed citations
11.
Kim, Ah Reum, et al.. (2018). Low-temperature Cu(I) loading on a mesoporous Metal–Organic framework for adsorptive separation of C3H6/C3H8 mixtures. Microporous and Mesoporous Materials. 279. 271–277. 30 indexed citations
12.
Yoon, Tae-Ung, et al.. (2017). Highly selective adsorption of CO over CO2 in a Cu(I)-chelated porous organic polymer. Journal of Hazardous Materials. 341. 321–327. 74 indexed citations
13.
Kim, Ah-Reum, Tae-Ung Yoon, Eun‐Jung Kim, et al.. (2017). Facile loading of Cu(I) in MIL-100(Fe) through redox-active Fe(II) sites and remarkable propylene/propane separation performance. Chemical Engineering Journal. 331. 777–784. 85 indexed citations
14.
Kim, Kyung-min, et al.. (2017). Power partial-discard strategy to obtain improved performance for simulated moving bed chromatography. Journal of Chromatography A. 1529. 72–80. 4 indexed citations
15.
Lee, Seung-Joon, Tae-Ung Yoon, Ah Reum Kim, et al.. (2016). Adsorptive separation of xenon/krypton mixtures using a zirconium-based metal-organic framework with high hydrothermal and radioactive stabilities. Journal of Hazardous Materials. 320. 513–520. 94 indexed citations
16.
Yoon, Ji Woong, Hyunju Chang, Seung-Joon Lee, et al.. (2016). Selective nitrogen capture by porous hybrid materials containing accessible transition metal ion sites. Nature Materials. 16(5). 526–531. 231 indexed citations
17.
Biswas, Apurba, Min‐Bum Kim, Seo-Yul Kim, et al.. (2016). A novel 3-D microporous magnesium-based metal–organic framework with open metal sites. RSC Advances. 6(85). 81485–81490. 13 indexed citations
18.
Lee, Seung-Joon, Ki Chul Kim, Tae-Ung Yoon, Min‐Bum Kim, & Youn‐Sang Bae. (2016). Selective dynamic separation of Xe and Kr in Co-MOF-74 through strong binding strength between Xe atom and unsaturated Co2+ site. Microporous and Mesoporous Materials. 236. 284–291. 65 indexed citations
19.
Kim, Ki Chul, Tae-Ung Yoon, & Youn‐Sang Bae. (2016). Applicability of using CO2 adsorption isotherms to determine BET surface areas of microporous materials. Microporous and Mesoporous Materials. 224. 294–301. 135 indexed citations
20.
Baek, Seung Bin, Dohyun Moon, Robert Graf, et al.. (2015). High-temperature in situ crystallographic observation of reversible gas sorption in impermeable organic cages. Proceedings of the National Academy of Sciences. 112(46). 14156–14161. 27 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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