Song‐Charng Kong

8.7k total citations · 2 hit papers
138 papers, 7.2k citations indexed

About

Song‐Charng Kong is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, Song‐Charng Kong has authored 138 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computational Mechanics, 87 papers in Fluid Flow and Transfer Processes and 52 papers in Biomedical Engineering. Recurrent topics in Song‐Charng Kong's work include Advanced Combustion Engine Technologies (87 papers), Combustion and flame dynamics (50 papers) and Vehicle emissions and performance (39 papers). Song‐Charng Kong is often cited by papers focused on Advanced Combustion Engine Technologies (87 papers), Combustion and flame dynamics (50 papers) and Vehicle emissions and performance (39 papers). Song‐Charng Kong collaborates with scholars based in United States, China and South Korea. Song‐Charng Kong's co-authors include Rolf D. Reitz, Qingang Xiong, George E. Zacharakis-Jutz, Kyung-Hyun Ryu, Zhiyu Han, Xiufeng Yang, Soroush Aramideh, Yong Sun, Craig Marriott and Gregory J. Hampson and has published in prestigious journals such as Journal of Computational Physics, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Song‐Charng Kong

132 papers receiving 7.0k citations

Hit Papers

Combustion and emissions characteristics of ... 1995 2026 2005 2015 2010 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song‐Charng Kong United States 42 5.1k 4.2k 2.5k 2.1k 1.7k 138 7.2k
Choongsik Bae South Korea 41 5.4k 1.1× 3.0k 0.7× 2.7k 1.1× 1.7k 0.8× 2.4k 1.4× 257 6.8k
Shijin Shuai China 50 5.5k 1.1× 2.8k 0.7× 3.4k 1.4× 2.2k 1.0× 2.9k 1.7× 286 8.0k
Shuofeng Wang China 53 6.6k 1.3× 3.1k 0.7× 2.5k 1.0× 2.2k 1.0× 3.2k 1.9× 211 7.5k
Zunqing Zheng China 45 5.5k 1.1× 2.6k 0.6× 3.3k 1.3× 1.8k 0.9× 2.4k 1.4× 177 6.3k
Gautam Kalghatgi United Kingdom 57 8.1k 1.6× 6.1k 1.4× 3.4k 1.4× 1.3k 0.7× 3.2k 1.9× 116 9.5k
Wenming Yang Singapore 64 7.8k 1.5× 6.8k 1.6× 5.0k 2.1× 2.3k 1.1× 1.8k 1.0× 321 12.4k
Haiqiao Wei China 50 4.8k 0.9× 3.6k 0.8× 1.3k 0.5× 1.6k 0.8× 1.3k 0.8× 293 8.4k
Jinxin Yang China 42 3.7k 0.7× 1.9k 0.4× 1.3k 0.5× 1.2k 0.6× 1.5k 0.9× 129 4.1k
Jeffrey Naber United States 32 4.3k 0.8× 2.9k 0.7× 1.8k 0.7× 840 0.4× 1.8k 1.1× 200 5.2k
Bianca Maria Vaglieco Italy 33 3.3k 0.7× 1.9k 0.4× 1.4k 0.6× 784 0.4× 1.9k 1.1× 304 4.2k

Countries citing papers authored by Song‐Charng Kong

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Charng Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song‐Charng Kong. 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 Song‐Charng Kong. The network helps show where Song‐Charng Kong may publish in the future.

Co-authorship network of co-authors of Song‐Charng Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Charng Kong. A scholar is included among the top collaborators of Song‐Charng Kong 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 Song‐Charng Kong. Song‐Charng Kong 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.
2.
Kong, Song‐Charng, et al.. (2024). Modeling physicochemical evolution and motion of biomass particle at pyrolysis stage using overset LBM. Powder Technology. 452. 120570–120570.
3.
Kong, Song‐Charng, et al.. (2024). Numerical Analysis of Quenching Stress in Thermal Spray Process Using SPH Method. Journal of Thermal Spray Technology. 33(6). 1851–1866.
4.
Kong, Song‐Charng, et al.. (2024). Analysis of Thermomechanical Stress of High-Temperature Ignition Surface Caused by Drop–Wall Interaction at Engine Conditions. Journal of Thermal Science and Engineering Applications. 16(5). 1 indexed citations
5.
Kong, Song‐Charng, et al.. (2023). Particle-based approach for modeling phase change and drop/wall impact at thermal spray conditions. International Journal of Multiphase Flow. 165. 104472–104472. 7 indexed citations
6.
Kong, Song‐Charng, et al.. (2022). Modeling the Effects of Drop Impingement Frequency on Heated Walls at Engine Conditions. SAE International Journal of Advances and Current Practices in Mobility. 5(2). 678–684. 2 indexed citations
7.
Kong, Song‐Charng, et al.. (2022). Numerical study on the Leidenfrost behavior of a droplet stream impinging on a heated wall. Physical review. E. 106(1). 15106–15106. 6 indexed citations
8.
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
9.
Lee, Jaewook, et al.. (2022). Numerical Investigation of YSZ Droplet Impact on a Heated Wall for Thermal Spray Application. Journal of Thermal Spray Technology. 31(7). 2039–2049. 9 indexed citations
10.
Kong, Song‐Charng, et al.. (2020). A Note on the Decomposition of Aerodynamic Forces Induced by A Wind Turbine Flaps. Journal of Mechanics. 36(5). 585–593. 2 indexed citations
11.
Yang, Xiufeng & Song‐Charng Kong. (2020). Smoothed particle hydrodynamics modeling of fuel drop impact on a heated surface at atmospheric and elevated pressures. Physical review. E. 102(3). 33313–33313. 9 indexed citations
12.
Zhang, Qiang, et al.. (2016). A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO–GA and basic GA. Applied Energy. 165. 676–684. 79 indexed citations
13.
Zhang, Qiang, et al.. (2016). Trade-Offs Between Emissions and Efficiency for Multiple Injections of Neat Biodiesel in a Turbocharged Diesel Engine Using an Enhanced PSO-GA Optimization Strategy. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
14.
Zacharakis-Jutz, George E., et al.. (2013). 가솔린-암모니아 혼합연소시 가솔린기관의 성능 특성에 관한 암모니아 해리촉매의 영향. 한국자동차공학회 추계학술대회 및 전시회. 412–413. 1 indexed citations
15.
Li, Yuanhong & Song‐Charng Kong. (2011). Coupling conjugate heat transfer with in-cylinder combustion modeling for engine simulation. International Journal of Heat and Mass Transfer. 54(11-12). 2467–2478. 46 indexed citations
16.
Kong, Song‐Charng, et al.. (2010). Diesel Engine Operation Using Ammonia as a Carbon-Free Fuel. 111–117. 32 indexed citations
17.
Kong, Song‐Charng, et al.. (2008). DISI Spray Modeling Using Local Mesh Refinement. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
18.
Kong, Song‐Charng, et al.. (2003). Modeling Premixed and Direct Injection SI Engine Combustion Using the G-Equation Model. SAE technical papers on CD-ROM/SAE technical paper series. 1. 28 indexed citations
19.
Kong, Song‐Charng, Rolf D. Reitz, Magnus Christensen, & Bengt Johansson. (2003). Modeling the Effects of Geometry Generated Turbulence on HCCI Engine Combustion. SAE technical papers on CD-ROM/SAE technical paper series. 1. 56 indexed citations
20.
Kong, Song‐Charng, Craig Marriott, Christopher J. Rutland, & Rolf D. Reitz. (2002). Experiments and CFD Modeling of Direct Injection Gasoline HCCI Engine Combustion. SAE technical papers on CD-ROM/SAE technical paper series. 1. 30 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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