Dae‐Gun Kim

1.3k total citations
66 papers, 1.0k citations indexed

About

Dae‐Gun Kim is a scholar working on Mechanical Engineering, Water Science and Technology and Materials Chemistry. According to data from OpenAlex, Dae‐Gun Kim has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 12 papers in Water Science and Technology and 12 papers in Materials Chemistry. Recurrent topics in Dae‐Gun Kim's work include Advanced materials and composites (10 papers), Advanced oxidation water treatment (7 papers) and Powder Metallurgy Techniques and Materials (7 papers). Dae‐Gun Kim is often cited by papers focused on Advanced materials and composites (10 papers), Advanced oxidation water treatment (7 papers) and Powder Metallurgy Techniques and Materials (7 papers). Dae‐Gun Kim collaborates with scholars based in South Korea, Japan and United States. Dae‐Gun Kim's co-authors include Young Do Kim, Sung‐Tag Oh, Gil-Su Kim, Vladimír Švrček, Davide Mariotti, Hyeongtag Jeon, Myung-Jin Suk, Changhee Lee, Baekhee Lee and Chul-Woo Chung and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Neuroscience.

In The Last Decade

Dae‐Gun Kim

62 papers receiving 995 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‐Gun Kim South Korea 18 456 388 189 126 100 66 1.0k
Jiale Xu China 23 734 1.6× 449 1.2× 268 1.4× 93 0.7× 431 4.3× 76 2.3k
Siqi Yin China 17 585 1.3× 588 1.5× 377 2.0× 146 1.2× 66 0.7× 62 1.3k
Mingkai Tang China 16 403 0.9× 393 1.0× 238 1.3× 181 1.4× 275 2.8× 27 1.1k
Chao Wu China 21 817 1.8× 474 1.2× 265 1.4× 181 1.4× 83 0.8× 83 1.3k
Shinji Yamada Japan 17 330 0.7× 319 0.8× 172 0.9× 486 3.9× 247 2.5× 58 1.2k
Xiaohu Wang China 25 851 1.9× 782 2.0× 767 4.1× 118 0.9× 367 3.7× 97 2.1k
Jinxu Liu China 25 919 2.0× 989 2.5× 142 0.8× 701 5.6× 68 0.7× 103 1.7k
Xiang Yang China 21 662 1.5× 519 1.3× 85 0.4× 208 1.7× 77 0.8× 65 1.1k
Curtis R. Taylor United States 24 313 0.7× 609 1.6× 311 1.6× 203 1.6× 658 6.6× 64 1.8k
Kaijin Wu China 12 162 0.4× 230 0.6× 166 0.9× 79 0.6× 390 3.9× 25 937

Countries citing papers authored by Dae‐Gun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Gun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae‐Gun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Gun Kim. A scholar is included among the top collaborators of Dae‐Gun 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 Dae‐Gun Kim. Dae‐Gun 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.
Shin, Jaehyun, Woori Kim, Jea Kwon, et al.. (2025). Integrating artificial intelligence and optogenetics for Parkinson’s disease diagnosis and therapeutics in male mice. Nature Communications. 16(1). 7797–7797.
2.
Kim, Dae‐Gun, et al.. (2024). Modeling a Smart IoT Device for Monitoring Indoor and Outdoor Atmospheric Pollution. Scalable Computing Practice and Experience. 25(1). 547–556.
3.
Shin, Anna, et al.. (2023). Exploration driven by a medial preoptic circuit facilitates fear extinction in mice. Communications Biology. 6(1). 106–106. 3 indexed citations
4.
Kim, Dae‐Gun, et al.. (2022). Grouping Pilots’ Maneuvering Types According to Berthing Velocity Using Agglomerative Clustering Algorithm. Journal of Marine Science and Engineering. 10(10). 1452–1452. 3 indexed citations
5.
Chae, Sujin, Jiso Hong, Keunsoo Kang, et al.. (2021). Molecular laterality encodes stress susceptibility in the medial prefrontal cortex. Molecular Brain. 14(1). 92–92. 5 indexed citations
6.
Kim, Dae‐Gun, et al.. (2020). Comparison of plasma resistance between spray coating films and bulk of CaO-Al2O3-SiO2 glasses under CF4/O2/Ar plasma etching. Journal of the Korean Crystal Growth and Crystal Technology. 30(2). 66–72. 4 indexed citations
7.
Kim, Dae‐Gun, et al.. (2019). Identification of Impact Factors in Ship-to-Ship Mooring Through Sensitivity Analysis. Journal of Navigation and Port Research. 43(5). 310–319. 3 indexed citations
8.
Kim, Dae‐Gun, Min Hyung Lee, Anna Shin, et al.. (2018). Medial preoptic circuit induces hunting-like actions to target objects and prey. Nature Neuroscience. 21(3). 364–372. 60 indexed citations
9.
Kim, Dae‐Gun. (2018). Improvement for Construction of Concrete‐Wall with Resistance to Gas‐Explosion. Advances in Materials Science and Engineering. 2018(1). 1 indexed citations
10.
Kim, Dae‐Gun, et al.. (2017). Performance Assessment of Electrolysis Using Copper and Catalyzed Electrodes for Enhanced Nutrient Removal from Wastewater. Journal of Electrochemical Science and Technology. 8(2). 124–132. 2 indexed citations
11.
Kim, Dae‐Gun, et al.. (2017). Electrolyte Addition for Enhanced Wastewater Treatment by Electrolysis using Cu Electrode. Journal of Electrochemical Science and Technology. 8(1). 35–42. 2 indexed citations
12.
Kim, Dae‐Gun, et al.. (2016). Integrated nitrogen removal biofilter system with ceramic membrane for advanced post-treatment of municipal wastewater. Environmental Technology. 37(23). 2975–2983. 3 indexed citations
13.
Lee, Serin, et al.. (2013). Remote Guidance of Untrained Turtles by Controlling Voluntary Instinct Behavior. PLoS ONE. 8(4). e61798–e61798. 7 indexed citations
14.
Kim, Dae‐Gun, Se Hoon Kim, & Young Do Kim. (2011). Electrochromic Property of MoO3Thin Films Deposited by Chemical Vapor Transport Synthesis. Japanese Journal of Applied Physics. 50(10R). 102601–102601. 1 indexed citations
15.
Kim, Se Hoon, et al.. (2010). Magnetic properties of high coercivity Nd23Dy10Fe64TM2B1 sintered magnets by a convergent heat treatment. Research on Chemical Intermediates. 36(6-7). 859–866. 3 indexed citations
16.
Kim, Dae‐Gun, et al.. (2010). Ag/Al(OH)3 mesoporous nanocomposite film as antibacterial agent. Colloids and Surfaces B Biointerfaces. 81(1). 369–373. 11 indexed citations
17.
Kim, Dae‐Gun, Yoshiki Shimizu, Takeshi Sasaki, et al.. (2007). Topological analysis of Au particles in Au/SiO2nanocomposite films designed for molecular conduction measurement through Voronoi diagram. Nanotechnology. 18(14). 145703–145703. 7 indexed citations
18.
Kim, Gil-Su, et al.. (2005). The behavior of tungsten oxides in the presence of copper during hydrogen reduction. Journal of Alloys and Compounds. 419(1-2). 262–266. 25 indexed citations
19.
Kim, Dae‐Gun, Sung‐Tag Oh, Hyeongtag Jeon, Changhee Lee, & Young Do Kim. (2003). Hydrogen-reduction behavior and microstructural characteristics of WO3–CuO powder mixtures with various milling time. Journal of Alloys and Compounds. 354(1-2). 239–242. 55 indexed citations
20.
Kim, Dae‐Gun, et al.. (1995). Purification and Characterization of S-adenosylmethionine Synthetase from Soybean (Glycine max) Axes. BMB Reports. 28(2). 100–106. 7 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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