Chol-Bum Kweon

1.7k total citations
151 papers, 1.2k citations indexed

About

Chol-Bum Kweon is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Chol-Bum Kweon has authored 151 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Fluid Flow and Transfer Processes, 97 papers in Computational Mechanics and 52 papers in Aerospace Engineering. Recurrent topics in Chol-Bum Kweon's work include Advanced Combustion Engine Technologies (112 papers), Combustion and flame dynamics (83 papers) and Rocket and propulsion systems research (36 papers). Chol-Bum Kweon is often cited by papers focused on Advanced Combustion Engine Technologies (112 papers), Combustion and flame dynamics (83 papers) and Rocket and propulsion systems research (36 papers). Chol-Bum Kweon collaborates with scholars based in United States, Australia and South Korea. Chol-Bum Kweon's co-authors include Kenneth Kim, David E. Foster, Sanghoon Kook, James J. Schauer, Yilong Zhang, David Rothamer, Shusuke Okada, Je Ir Ryu, Tonghun Lee and Song‐Charng Kong and has published in prestigious journals such as Advanced Energy Materials, Journal of Power Sources and Journal of The Electrochemical Society.

In The Last Decade

Chol-Bum Kweon

136 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chol-Bum Kweon United States 19 770 659 336 303 237 151 1.2k
Daniel B. Olsen United States 19 670 0.9× 398 0.6× 342 1.0× 156 0.5× 283 1.2× 102 1.1k
Nick Collings United Kingdom 23 1.2k 1.6× 669 1.0× 741 2.2× 210 0.7× 350 1.5× 71 1.5k
C. Scott Sluder United States 21 888 1.2× 623 0.9× 552 1.6× 180 0.6× 359 1.5× 63 1.4k
Martin Davy United Kingdom 19 644 0.8× 485 0.7× 320 1.0× 155 0.5× 274 1.2× 94 994
Luis Le Moyne France 17 318 0.4× 533 0.8× 223 0.7× 147 0.5× 135 0.6× 54 1.0k
Dave Richardson United Kingdom 21 1.2k 1.5× 617 0.9× 589 1.8× 117 0.4× 513 2.2× 39 1.4k
Öivind Andersson Sweden 26 1.5k 2.0× 1.1k 1.7× 649 1.9× 236 0.8× 578 2.4× 104 1.9k
Walter F. Piock Austria 14 803 1.0× 456 0.7× 475 1.4× 116 0.4× 186 0.8× 30 969
Ronald D. Matthews United States 22 1.1k 1.5× 835 1.3× 522 1.6× 248 0.8× 433 1.8× 112 1.6k
Ezio Mancaruso Italy 21 1.2k 1.6× 594 0.9× 615 1.8× 111 0.4× 659 2.8× 118 1.5k

Countries citing papers authored by Chol-Bum Kweon

Since Specialization
Citations

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

Fields of papers citing papers by Chol-Bum Kweon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chol-Bum Kweon. 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 Chol-Bum Kweon. The network helps show where Chol-Bum Kweon may publish in the future.

Co-authorship network of co-authors of Chol-Bum Kweon

This figure shows the co-authorship network connecting the top 25 collaborators of Chol-Bum Kweon. A scholar is included among the top collaborators of Chol-Bum Kweon 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 Chol-Bum Kweon. Chol-Bum Kweon 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.
Rahman, Muhammad Mominur, et al.. (2025). Thermal Dynamics and Lithium Plating Detection in High‐Power Li‐Ion Batteries for eVTOL Applications. Advanced Energy Materials. 15(47).
3.
Amin, Ruhul, et al.. (2024). Impact of cycling conditions on lithium-ion battery performance for electric vertical takeoff and landing applications. Journal of Power Sources. 602. 234335–234335. 11 indexed citations
4.
Mayhew, Eric, et al.. (2024). Effects of pilot injection on ignition performance for F-24/Gasoline fuel blends. Proceedings of the Combustion Institute. 40(1-4). 105218–105218. 1 indexed citations
5.
Rieth, Martin, Eric Mayhew, Jacob Temme, et al.. (2024). Numerical and experimental investigation of single and multi-injection ignition of F-24/ATJ blends. Proceedings of the Combustion Institute. 40(1-4). 105341–105341.
6.
7.
Torelli, Roberto, et al.. (2024). A Phenomenological Thermal Spray Wall Interaction Modeling Framework Applied to a High-Temperature Ignition Assistant Device. Journal of Engineering for Gas Turbines and Power. 146(9). 3 indexed citations
8.
Mayhew, Eric, et al.. (2024). Examining surface wetting and Leidenfrost transition of jet fuels and bicomponent mixtures. Experimental Thermal and Fluid Science. 154. 111167–111167. 4 indexed citations
9.
Cornelius, Andrew, et al.. (2024). Data-driven real-time fuel cetane estimation and control design for multifuel UAVs. Applied Energy. 367. 123336–123336. 6 indexed citations
10.
Dixit, Marm, Rachid Essehli, Ruhul Amin, et al.. (2024). Battery Electrolyte Design for Electric Vertical Takeoff and Landing (eVTOL) Platforms. Advanced Energy Materials. 14(29). 13 indexed citations
11.
Lee, Gyu‐Sub, et al.. (2024). Flow visualization in a streamline-traced supersonic inlet. 1 indexed citations
12.
Ryu, Je Ir, Wooyoung Lee, Eric Mayhew, et al.. (2024). Experimental and data-driven chemical kinetic modeling study of alcohol-to-jet (ATJ) synthetic biofuel for sustainable aviation fuels. Fuel. 368. 131630–131630. 9 indexed citations
13.
Yang, Jinxin, et al.. (2023). Evaluation of Swirl Ratio Effects on the Flow Fields using Particle Image Velocimetry and Flame Image Velocimetry in a Small-Bore Optical Compression-Ignition Engine. SAE International Journal of Advances and Current Practices in Mobility. 6(3). 1675–1688. 1 indexed citations
14.
Kweon, Chol-Bum, et al.. (2023). Non-Intrusive Accelerometer-Based Sensing of Start-Of-Combustion in Compression-Ignition Engines. SAE International Journal of Advances and Current Practices in Mobility. 5(6). 2330–2343. 1 indexed citations
15.
Kweon, Chol-Bum, et al.. (2023). Impact of Ignition Assistant on Combustion of Cetane 30 and 35 Jet-Fuel Blends in a Compression-Ignition Engine at Moderate Load and Speed. Journal of Engineering for Gas Turbines and Power. 145(7). 13 indexed citations
16.
Hessel, Randy, et al.. (2023). Numerical Modeling and Analysis of Energy-Assisted Compression Ignition of Varying Cetane Number Jet Fuels for High-Altitude Operation. Journal of Engineering for Gas Turbines and Power. 145(9). 8 indexed citations
17.
Rothamer, David, et al.. (2022). Ignition Sensitivity Analysis for Energy-Assisted Compression-Ignition Operation on Jet Fuels with Varying Cetane Number. SAE International Journal of Advances and Current Practices in Mobility. 4(5). 1651–1666. 32 indexed citations
18.
Kong, Song‐Charng, et al.. (2022). Numerical Study of Consecutive Drop/Wall Impacts Using Smoothed Particle Hydrodynamics. International Journal of Multiphase Flow. 151. 104060–104060. 8 indexed citations
20.
Mayhew, Eric, et al.. (2020). Effects of fuel blending on first stage and overall ignition processes. Proceedings of the Combustion Institute. 38(4). 5733–5740. 10 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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