Tae‐Gon Kim

2.5k total citations
149 papers, 1.9k citations indexed

About

Tae‐Gon Kim is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Water Science and Technology. According to data from OpenAlex, Tae‐Gon Kim has authored 149 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 36 papers in Electrical and Electronic Engineering and 23 papers in Water Science and Technology. Recurrent topics in Tae‐Gon Kim's work include Advanced Surface Polishing Techniques (34 papers), Hydrology and Watershed Management Studies (14 papers) and Force Microscopy Techniques and Applications (8 papers). Tae‐Gon Kim is often cited by papers focused on Advanced Surface Polishing Techniques (34 papers), Hydrology and Watershed Management Studies (14 papers) and Force Microscopy Techniques and Applications (8 papers). Tae‐Gon Kim collaborates with scholars based in South Korea, United States and Japan. Tae‐Gon Kim's co-authors include Byungwoo Park, Jin-Goo Park, Won‐Ho Nam, Jaephil Cho, Kwang‐Sun Ryu, Dongyeon Son, Nagendra Prasad Yerriboina, Sang Hyun Lee, Eunmi Hong and Timothy M. Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Environmental Science & Technology.

In The Last Decade

Tae‐Gon Kim

126 papers receiving 1.8k 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‐Gon Kim South Korea 22 592 532 517 260 237 149 1.9k
Shuwei Wang China 27 1.2k 2.1× 379 0.7× 856 1.7× 254 1.0× 84 0.4× 48 3.1k
Zhaoyue Wang China 23 748 1.3× 379 0.7× 503 1.0× 585 2.3× 180 0.8× 48 2.0k
Feiyue Li China 29 325 0.5× 578 1.1× 838 1.6× 122 0.5× 591 2.5× 102 3.3k
Hongjian Li China 29 1.0k 1.7× 641 1.2× 893 1.7× 608 2.3× 149 0.6× 137 2.8k
M. Premalatha India 33 1.1k 1.8× 675 1.3× 223 0.4× 417 1.6× 180 0.8× 108 3.3k
Kun Liu China 24 347 0.6× 342 0.6× 585 1.1× 115 0.4× 370 1.6× 103 1.9k
Ju Bai China 19 349 0.6× 357 0.7× 406 0.8× 163 0.6× 210 0.9× 65 1.4k
Nana Liu China 16 273 0.5× 463 0.9× 546 1.1× 283 1.1× 65 0.3× 55 1.7k
Shuting Zhang China 30 1.1k 1.8× 568 1.1× 991 1.9× 147 0.6× 345 1.5× 150 3.2k
Yiqing Zhang China 27 588 1.0× 346 0.7× 418 0.8× 1.0k 3.9× 277 1.2× 106 2.8k

Countries citing papers authored by Tae‐Gon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Gon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae‐Gon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Gon Kim. A scholar is included among the top collaborators of Tae‐Gon Kim 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‐Gon Kim. Tae‐Gon Kim 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.
2.
Qiu, Zheru, Xinru Ji, Yang Liu, et al.. (2024). Hybrid integrated multi-lane erbium-doped Si3N4 waveguide amplifiers. M4A.5–M4A.5. 2 indexed citations
3.
Kim, Dong Gyu, et al.. (2023). Investigation of Selective Wet Etching of SiGe Substrates for High-Performance Device Manufacturing. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 346. 34–39. 1 indexed citations
4.
Hamada, Satomi, et al.. (2022). Effect of Slurry Additives on Co-BTA Complex Stability and Inhibition Property During Co CMP Process. ECS Journal of Solid State Science and Technology. 11(8). 84006–84006. 8 indexed citations
5.
Jerome, Peter, et al.. (2022). Effect of Skin Layer on Brush Loading, Cross-Contamination, and Cleaning Performance during Post-CMP Cleaning. ECS Journal of Solid State Science and Technology. 11(5). 54003–54003. 4 indexed citations
6.
Yang, Yi, et al.. (2022). High-Resolution Environmentally Extended Input–Output Model to Assess the Greenhouse Gas Impact of Electronics in South Korea. Environmental Science & Technology. 56(4). 2107–2114. 18 indexed citations
7.
Zhu, Peng, Tae‐Gon Kim, Zhenong Jin, et al.. (2022). The critical benefits of snowpack insulation and snowmelt for winter wheat productivity. Nature Climate Change. 12(5). 485–490. 37 indexed citations
8.
Pelton, Rylie E. O., S. Spawn, Tyler J. Lark, et al.. (2021). Land use leverage points to reduce GHG emissions in U.S. agricultural supply chains. Environmental Research Letters. 16(11). 115002–115002. 14 indexed citations
9.
10.
Han, Yoseob, Jaeduck Jang, Eunju Cha, et al.. (2021). Deep learning STEM-EDX tomography of nanocrystals. Nature Machine Intelligence. 3(3). 267–274. 39 indexed citations
11.
Brauman, Kate A., Andrew L. Goodkind, Tae‐Gon Kim, et al.. (2020). Unique water scarcity footprints and water risks in US meat and ethanol supply chains identified via subnational commodity flows. Environmental Research Letters. 15(10). 105018–105018. 17 indexed citations
12.
Lee, Heejin, et al.. (2020). Drought Hazard Assessment using MODIS-based Evaporative Stress Index (ESI) and ROC Analysis. Journal of The Korean Society of Agricultural Engineers. 62(3). 51–61. 6 indexed citations
13.
Nam, Won‐Ho, et al.. (2020). Spatiotemporal Agricultural Drought Damage and Its Relationship with Hydrometeorological Characteristics of Historical Drought Events for Recent 40 Years. 392–392. 1 indexed citations
14.
Kim, Tae‐Gon, et al.. (2020). Evaluation and Comparison of Meteorological Drought Index using Multi-satellite Based Precipitation Products in East Asia. Journal of The Korean Society of Agricultural Engineers. 62(1). 83–93. 4 indexed citations
15.
Kim, Tae‐Gon, et al.. (2019). Application of Meteorological Drought Index using Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) Based on Global Satellite-Assisted Precipitation Products in Korea. Journal of The Korean Society of Agricultural Engineers. 61(2). 1–11. 4 indexed citations
16.
Nam, Won‐Ho, et al.. (2018). Application of Evaporative Stress Index (ESI) for Satellite-based Agricultural Drought Monitoring in South Korea. Journal of The Korean Society of Agricultural Engineers. 60(6). 121–131. 6 indexed citations
17.
Nam, Won‐Ho, Eunmi Hong, Jin‐Yong Choi, et al.. (2017). Assessment of the Extreme 2014~2015 Drought Events in North Korea Using Weekly Standardized Precipitation Evapotranspiration Index (SPEI). Journal of The Korean Society of Agricultural Engineers. 59(4). 65–74. 5 indexed citations
18.
Kim, Tae‐Gon, et al.. (2009). Predictive Modeling of the Bus Arrival Time on the Arterial using Real-Time BIS Data. Journal of the Korean Society of Civil Engineers. 29. 1–9.
19.
Kim, Tae‐Gon, et al.. (2007). Speed Predictive Modeling in the Merge Influence Area of the Urban Freeway. 27. 35–42. 1 indexed citations
20.
Kim, Tae‐Gon, et al.. (2006). The Linear Density Predictive Models on the On-Ramp Junction in the Urban Freeway. 26. 59–66. 1 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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