Yun-Tae Kim

2.8k total citations
181 papers, 2.1k citations indexed

About

Yun-Tae Kim is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Global and Planetary Change. According to data from OpenAlex, Yun-Tae Kim has authored 181 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Civil and Structural Engineering, 58 papers in Management, Monitoring, Policy and Law and 37 papers in Global and Planetary Change. Recurrent topics in Yun-Tae Kim's work include Landslides and related hazards (58 papers), Geotechnical Engineering and Soil Stabilization (30 papers) and Flood Risk Assessment and Management (23 papers). Yun-Tae Kim is often cited by papers focused on Landslides and related hazards (58 papers), Geotechnical Engineering and Soil Stabilization (30 papers) and Flood Risk Assessment and Management (23 papers). Yun-Tae Kim collaborates with scholars based in South Korea, Nepal and United States. Yun-Tae Kim's co-authors include Ananta Man Singh Pradhan, Seung-Rae Lee, Peter Wipf, Ba-Phu Nguyen, Peter Wipf, Deuk-Hwan Lee, Hyo-Sub Kang, Ji-Sung Lee, David Goldstein and Joon-Young Park and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nature Communications.

In The Last Decade

Yun-Tae Kim

144 papers receiving 2.0k citations

Peers

Yun-Tae Kim
Chien‐Yuan Chen Taiwan
Sijing Wang China
Jiahui Xu China
Futao Wang China
Lu Zheng China
Zhijie Zhang China
Qin Zhang China
Zhen Li China
Shen-En Chen United States
Chien‐Yuan Chen Taiwan
Yun-Tae Kim
Citations per year, relative to Yun-Tae Kim Yun-Tae Kim (= 1×) peers Chien‐Yuan Chen

Countries citing papers authored by Yun-Tae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Tae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun-Tae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Tae Kim. A scholar is included among the top collaborators of Yun-Tae 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 Yun-Tae Kim. Yun-Tae 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.
Kim, Yun-Tae, et al.. (2024). Fabrication and assessment of port block pavement based on the deflection and settlement characteristic. Case Studies in Construction Materials. 20. e03284–e03284. 2 indexed citations
2.
Nguyen, Thanh‐Nhan, et al.. (2024). Development of an empirical equation that predicts local scour around a single cube-type artificial reef under a steady current. Ocean Engineering. 308. 118332–118332. 11 indexed citations
3.
Lee, Ji-Sung, et al.. (2024). Development of structural type-based physical vulnerability curves to debris flow using numerical analysis and regression model. International Journal of Disaster Risk Reduction. 106. 104431–104431. 6 indexed citations
4.
Pradhan, Ananta Man Singh, et al.. (2024). Can Level-2 Firth’s Bias-reduced logistic regression be considered a robust approach for predicting landslide susceptibility?. Bulletin of Engineering Geology and the Environment. 84(1).
5.
Oh, Myounghak, et al.. (2024). Enhancements in image quality and block detection performance for Reinforced Soil-Retaining Walls under various illuminance conditions. Advances in Engineering Software. 195. 103713–103713. 7 indexed citations
6.
Lee, Ji-Sung, et al.. (2023). Development of Physical Vulnerability Curve based on Debris Flow Events. Korean Society of Hazard Mitigation. 23(4). 185–196. 1 indexed citations
7.
Lee, Ji-Sung, et al.. (2023). Real-time debris flow detection using deep convolutional neural network and Jetson Nano. SHILAP Revista de lepidopterología. 415. 3021–3021. 4 indexed citations
8.
Kim, Yun-Tae, et al.. (2022). Debris flow detection and velocity estimation using deep convolutional neural network and image processing. Landslides. 19(10). 2473–2488. 21 indexed citations
9.
Kim, Dong-Jin, Bongsu Shin, Dongwook Shin, et al.. (2022). Actuating compact wearable augmented reality devices by multifunctional artificial muscle. Nature Communications. 13(1). 4155–4155. 59 indexed citations
10.
11.
Kim, Yun-Tae, et al.. (2021). Experimental test of Babinet's principle in matter-wave diffraction. Physical Chemistry Chemical Physics. 23(13). 8030–8036. 1 indexed citations
12.
Pradhan, Ananta Man Singh & Yun-Tae Kim. (2021). Development and Evaluation of Relative Relief Based Soil Thickness Model: A Comparative Study in Hilly Terrain, South Korea. KSCE Journal of Civil Engineering. 25(6). 2186–2198. 7 indexed citations
13.
Kim, Yun-Tae, et al.. (2019). Rainfall-Earthquake-Induced Landslide Hazard Prediction by Monte Carlo Simulation: A Case Study of MT. Umyeon in Korea. KSCE Journal of Civil Engineering. 24(1). 73–86. 21 indexed citations
14.
Pradhan, Ananta Man Singh, et al.. (2019). Semi-quantitative method to identify the vulnerable areas in terms of building aggregation for probable landslide runout at the regional scale: a case study from Soacha Province, Colombia. Bulletin of Engineering Geology and the Environment. 78(8). 5745–5762. 11 indexed citations
15.
16.
Pradhan, Ananta Man Singh, Seung-Rae Lee, & Yun-Tae Kim. (2018). A shallow slide prediction model combining rainfall threshold warnings and shallow slide susceptibility in Busan, Korea. Landslides. 16(3). 647–659. 75 indexed citations
17.
Lee, Yong‐Seong, et al.. (2017). Effect of Gelatinase and Chitinase Producing Microorganism on the Growth of Soybean and Control of Stink Bug in Field. Korean Journal of Soil Science and Fertilizer. 50(2). 71–80. 1 indexed citations
18.
Pradhan, Ananta Man Singh & Yun-Tae Kim. (2017). GIS-based landslide susceptibility model considering effective contributing area for drainage time. Geocarto International. 33(8). 810–829. 9 indexed citations
19.
Lee, Seung-Rae, et al.. (2016). A new approach to temporal modelling for landslide hazard assessment using an extreme rainfall induced-landslide index. Engineering Geology. 215. 36–49. 55 indexed citations
20.
Kim, Yun-Tae, et al.. (2006). Compressive Behaviors of Reinforced Lightweight Soil Using Waste Fishing Net. Journal of the Korean Geotechnical Society. 22(11). 25–35.

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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