Kyung Chun Kim

7.5k total citations
371 papers, 6.0k citations indexed

About

Kyung Chun Kim is a scholar working on Computational Mechanics, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Kyung Chun Kim has authored 371 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computational Mechanics, 146 papers in Mechanical Engineering and 100 papers in Biomedical Engineering. Recurrent topics in Kyung Chun Kim's work include Fluid Dynamics and Turbulent Flows (71 papers), Heat Transfer Mechanisms (41 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (41 papers). Kyung Chun Kim is often cited by papers focused on Fluid Dynamics and Turbulent Flows (71 papers), Heat Transfer Mechanisms (41 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (41 papers). Kyung Chun Kim collaborates with scholars based in South Korea, Iran and China. Kyung Chun Kim's co-authors include Gholamreza Bamorovat Abadi, Hyun Dong Kim, Sang Youl Yoon, Eunkoo Yun, Javad Abolfazli Esfahani, Yingzheng Liu, Omid Nematollahi, Chanhee Moon, Zhiwen Deng and Saman Rashidi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Renewable and Sustainable Energy Reviews.

In The Last Decade

Kyung Chun Kim

343 papers receiving 5.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung Chun Kim South Korea 40 2.8k 2.2k 1.3k 1.3k 698 371 6.0k
Sylvie Lorente France 45 5.3k 1.9× 1.4k 0.6× 393 0.3× 1.7k 1.3× 536 0.8× 249 8.4k
Sassi Ben Nasrallah Tunisia 45 2.6k 1.0× 1.6k 0.7× 820 0.6× 901 0.7× 793 1.1× 263 6.8k
Bo Yu China 40 2.4k 0.9× 2.5k 1.1× 500 0.4× 1.1k 0.8× 539 0.8× 398 6.2k
Kamel Hooman Australia 52 5.8k 2.1× 4.2k 1.9× 679 0.5× 3.3k 2.5× 690 1.0× 303 8.8k
C. Balaji India 42 3.6k 1.3× 2.2k 1.0× 1.2k 0.9× 1.7k 1.3× 421 0.6× 300 6.6k
Giulio Lorenzini Italy 42 4.4k 1.6× 2.4k 1.1× 294 0.2× 3.2k 2.4× 349 0.5× 358 6.7k
G.H. Tang China 46 1.9k 0.7× 2.9k 1.3× 662 0.5× 1.7k 1.3× 1.4k 2.1× 251 6.9k
Liang Gong China 40 2.2k 0.8× 1.1k 0.5× 1.1k 0.8× 891 0.7× 440 0.6× 198 4.6k
Hassan Peerhossaini France 36 1.8k 0.6× 1.8k 0.8× 450 0.3× 1.5k 1.1× 302 0.4× 157 3.9k
Nader Karimi United Kingdom 52 4.0k 1.5× 3.0k 1.4× 542 0.4× 3.8k 2.8× 921 1.3× 211 7.6k

Countries citing papers authored by Kyung Chun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kyung Chun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung Chun 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 Kyung Chun Kim. The network helps show where Kyung Chun Kim may publish in the future.

Co-authorship network of co-authors of Kyung Chun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung Chun Kim. A scholar is included among the top collaborators of Kyung Chun 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 Kyung Chun Kim. Kyung Chun 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.
Mardani, Amir, et al.. (2025). Ammonia usage instead of hydrogen in Methane-Hydrogen Blended fuel mixture under highly preheated and dilution Condition: Chemical Perspective. International Journal of Heat and Fluid Flow. 115. 109826–109826. 2 indexed citations
2.
Chen, Guanbin, Wen‐Li Chen, & Kyung Chun Kim. (2025). An investigation of aerodynamic characteristics of leading-edge jet and trailing-edge suction set in the bridge main girder. Physics of Fluids. 37(7). 1 indexed citations
3.
Aslani, Alireza & Kyung Chun Kim. (2025). Cryogenic boundary layer separation and flow structure formed by impinging under-expanded supersonic jet. Physics of Fluids. 37(2). 1 indexed citations
4.
Afsharfard, Aref, et al.. (2025). Novel petal-based configurations to enhance flow-induced vibration energy harvesting: numerical and experimental analysis. Renewable Energy. 250. 123326–123326. 4 indexed citations
5.
Afsharfard, Aref, et al.. (2024). New nonlinear coupled model for modeling the vortex-induced vibrations of flexibly supported circular cylinders. Journal of Mechanical Science and Technology. 38(4). 1939–1947.
6.
Kim, Mirae, et al.. (2023). Combustion regime identification and characteristics of nitrogen-diluted ammonia with hot air oxidizer: Non-premixed counterflow flame. Thermal Science and Engineering Progress. 39. 101722–101722. 7 indexed citations
7.
Kim, Mirae, et al.. (2023). The effect of inlet velocity, gas temperature and particle size on the performance of double cyclone separator. Chemical Engineering and Processing - Process Intensification. 191. 109469–109469. 20 indexed citations
8.
Yoon, Jihyun, et al.. (2023). Maker Competency Instrument for Elementary and Secondary School Science. Journal of Science Education and Technology. 32(4). 493–509.
9.
Kim, Kyung Chun, et al.. (2023). Dynamic Simulation of Partial Load Operation of an Organic Rankine Cycle with Two Parallel Expanders. Energies. 16(1). 519–519. 2 indexed citations
10.
Norouzi, Mahmood, et al.. (2023). An experimental study on the impact of Boger and Newtonian droplets on spherical surfaces. Physics of Fluids. 35(8). 5 indexed citations
11.
Cai, Tao, et al.. (2021). Simultaneous measurement of two-dimensional temperature and strain fields based on thermographic phosphor and digital image correlation. Measurement Science and Technology. 32(9). 95204–95204. 11 indexed citations
12.
Kim, Dong Sik, Dae Yeon Kim, Jaesool Shim, & Kyung Chun Kim. (2021). Energy harvesting performance of an EDLC power generator based on pure water and glycerol mixture: analytical modeling and experimental validation. Scientific Reports. 11(1). 23426–23426. 2 indexed citations
13.
Cai, Tao, et al.. (2020). Rise time-based phosphor thermometry using Mg 4 FGeO 6 :Mn 4+. Measurement Science and Technology. 32(1). 15201–15201. 16 indexed citations
14.
Aliyu, Aliyu M., et al.. (2018). A model for rising bubbles interacting with crossflowing liquid. International Journal of Multiphase Flow. 108. 94–104. 6 indexed citations
15.
Yun, Eunkoo, Hyun Dong Kim, Sang Youl Yoon, et al.. (2016). Performance characteristics of a 200-kW organic Rankine cycle system in a steel processing plant. Applied Energy. 183. 623–635. 51 indexed citations
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18.
Kim, Kyung Chun, et al.. (2010). Numerical Analysis on the Initial Cool-down Performance Inside an Automobile for the Evaluation of Passenger's Thermal Comfort. Transactions of Korean Society of Automotive Engineers. 18(5). 115–123. 2 indexed citations
19.
Singh, Kanika, Md. Aminur Rahman, Jung Ik Son, Kyung Chun Kim, & Yoon‐Bo Shim. (2008). An amperometric immunosensor for osteoproteogerin based on gold nanoparticles deposited conducting polymer. Biosensors and Bioelectronics. 23(11). 1595–1601. 25 indexed citations
20.
Abraham, Sinoj, Takahiro Arakawa, Il Kim, et al.. (2005). Functional microcapsule for drug delivery. 1440–1442. 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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