Sangki Kwon

1.3k total citations
70 papers, 1.0k citations indexed

About

Sangki Kwon is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Sangki Kwon has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Civil and Structural Engineering, 34 papers in Mechanics of Materials and 19 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Sangki Kwon's work include Rock Mechanics and Modeling (32 papers), Nuclear and radioactivity studies (14 papers) and Soil and Unsaturated Flow (14 papers). Sangki Kwon is often cited by papers focused on Rock Mechanics and Modeling (32 papers), Nuclear and radioactivity studies (14 papers) and Soil and Unsaturated Flow (14 papers). Sangki Kwon collaborates with scholars based in South Korea, Nigeria and Namibia. Sangki Kwon's co-authors include Abiodun Ismail Lawal, Won‐Jin Cho, Jae Owan Lee, Marcelo Sánchez, Jin-Seop Kim, Gye-Chun Cho, Changsoo Lee, O.S. Hammed, Musa Adebayo Idris and Moshood Onifade and has published in prestigious journals such as Sustainability, Engineering Geology and Safety Science.

In The Last Decade

Sangki Kwon

68 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangki Kwon South Korea 17 567 371 202 193 189 70 1.0k
Mohaddeseh Mousavi Nezhad United Kingdom 20 592 1.0× 369 1.0× 157 0.8× 185 1.0× 170 0.9× 58 1.2k
Jianjun Ma China 22 937 1.7× 581 1.6× 167 0.8× 243 1.3× 251 1.3× 72 1.6k
Ehsan Ghazanfari United States 20 446 0.8× 389 1.0× 304 1.5× 343 1.8× 327 1.7× 68 1.3k
Kam Ng United States 17 850 1.5× 172 0.5× 118 0.6× 227 1.2× 137 0.7× 125 1.3k
Z. Agioutantis United States 17 345 0.6× 318 0.9× 70 0.3× 154 0.8× 231 1.2× 99 1.1k
Xiaozhao Li China 16 326 0.6× 162 0.4× 125 0.6× 188 1.0× 154 0.8× 55 679
Louis Ge Taiwan 26 1.4k 2.5× 150 0.4× 151 0.7× 149 0.8× 103 0.5× 93 1.7k
Minh‐Ngoc Vu France 24 1.2k 2.1× 1.2k 3.2× 315 1.6× 233 1.2× 266 1.4× 142 2.0k
Jean Talandier France 20 825 1.5× 413 1.1× 326 1.6× 156 0.8× 194 1.0× 58 1.1k
Frédéric Collin Belgium 28 1.2k 2.1× 1.3k 3.5× 331 1.6× 281 1.5× 441 2.3× 105 2.1k

Countries citing papers authored by Sangki Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sangki Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangki Kwon. 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 Sangki Kwon. The network helps show where Sangki Kwon may publish in the future.

Co-authorship network of co-authors of Sangki Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Sangki Kwon. A scholar is included among the top collaborators of Sangki Kwon 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 Sangki Kwon. Sangki Kwon 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.
Sabri, Mohanad Muayad Sabri, et al.. (2023). Estimating Flyrock Distance Induced Due to Mine Blasting by Extreme Learning Machine Coupled with an Equilibrium Optimizer. Sustainability. 15(4). 3265–3265. 13 indexed citations
2.
Lawal, Abiodun Ismail & Sangki Kwon. (2023). Reliability Assessment of Empirical Equations, ANN and MARS Models for Predicting the Mode I Fracture Toughness from Non-destructive Rock Properties. Rock Mechanics and Rock Engineering. 56(8). 6157–6166. 11 indexed citations
3.
4.
Kim, Jin-Seop, et al.. (2019). Hydraulic Analysis of a Discontinuous Rock Mass Using Smeared Fracture Model and DFN Model. Tunnel and Underground Space. 29(5). 318–331. 1 indexed citations
5.
Kwon, Sangki, et al.. (2019). Evaluation of mechanical properties of KURT granite under simulated coupled condition of a geological repository. Journal of Korean Tunnelling and Underground Space Association. 21(4). 501–518. 2 indexed citations
6.
Kwon, Sangki & Changsoo Lee. (2018). THM analysis for an in situ experiment using FLAC3D-TOUGH2 and an artificial neural network. Geomechanics and Engineering. 16(4). 363–373. 2 indexed citations
7.
Wang, Zhechao, et al.. (2017). Estimation of groundwater inflow into an underground oil storage facility in granite. Geomechanics and Engineering. 12(6). 1003–1020. 10 indexed citations
8.
Kwon, Sangki, et al.. (2016). Analysis of explosion energy related to the cause of Tianjin explosion accident in China. 34(1). 1–10. 1 indexed citations
9.
Lee, Jae Owan, et al.. (2011). Thermal-hydro-mechanical Properties of Reference Bentonite Buffer for a Korean HLW Repository. Tunnel and Underground Space. 21(4). 264–273. 24 indexed citations
10.
Lee, Chang‐Soo, Sangki Kwon, & Seokwon Jeon. (2011). Numerical Simulation of Radial Strain Controlled Uniaxial and Triaxial Compression Test of Rock Using Bonded Particle Model.. Tunnel and Underground Space. 21(3). 216–224. 2 indexed citations
11.
Cho, Won‐Jin, et al.. (2010). A Correlation to Predict the Thermal Conductivity of Buffer and Backfill Material for a High-Level Waste Repository. Tunnel and Underground Space. 20(4). 284–291. 4 indexed citations
12.
Kwon, Sangki, et al.. (2010). A Study on the Determination of the Seasonal Heat Transfer Coefficient in KURT Under Forced Convection. Journal of the Nuclear Fuel Cycle and Waste Technology(JNFCWT). 8(3). 189–199. 1 indexed citations
13.
Kwon, Sangki, et al.. (2010). Empirical model to estimate the thermal conductivity of granite with various water contents. Journal of the Nuclear Fuel Cycle and Waste Technology(JNFCWT). 8(2). 135–142. 5 indexed citations
14.
Kwon, Sangki, et al.. (2009). Experimental Study on the Determination of Heat Transfer Coefficient for the KURT. Tunnel and Underground Space. 19(6). 507–516. 2 indexed citations
15.
Cho, Won‐Jin, et al.. (2008). Thermal Conductivity of Compacted Bentonite and Bentonite-Sand Mixture. Journal of the Nuclear Fuel Cycle and Waste Technology(JNFCWT). 6(2). 101–109. 9 indexed citations
16.
Cho, Won‐Jin, et al.. (2008). Simulation of Heat and Water Counterflow in Unsaturated Compacted Bentonite. Environmental Engineering Science. 26(3). 589–599. 3 indexed citations
17.
Cho, Won‐Jin, et al.. (2007). KAERI Underground Research Tunnel(KURT). Journal of the Nuclear Fuel Cycle and Waste Technology(JNFCWT). 5(3). 239–255. 4 indexed citations
18.
Choi, Jong-Won, et al.. (2004). A Reference Container Concept for Spent Fuel Disposal : Structural safety for dimensioning of the reference container. Journal of Radiation Protection and Research. 29(1). 49–55. 1 indexed citations
19.
Kwon, Sangki, et al.. (2000). Thermal Analysis of High Level Radioactive Waste Repository Using a Large Model. Nuclear Engineering and Technology. 32(3). 244–253. 7 indexed citations
20.
Choi, Jong-Won, et al.. (1999). Technology Assessment of the Repository Alternatives to Establish a Reference HLW Disposal Concept. Nuclear Engineering and Technology. 31(6). 83–100. 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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