Song‐Charng Kong

8.7k citations
138 papers · 7.2k indexed · 2 hit papers · h-index 42

Song‐Charng Kong

132 papers receiving 7.0k citations

Hit Papers

Combustion and emissions characteristics of ...6631995202620052015200400600

Peers

Song‐Charng Kong
Comparison fields: 5 of 83
  • Fluid Flow and Transfer Processes 5.1k
  • Computational Mechanics 4.2k
  • Automotive Engineering 1.7k
  • Biomedical Engineering 2.5k
  • Catalysis 384
Replace Shijin Shuai with:
Shijin Shuai China
Choongsik Bae South Korea
Shuofeng Wang China
Wenming Yang Singapore
Haiqiao Wei China
Zunqing Zheng China
Gautam Kalghatgi United Kingdom
Jinxin Yang China
Jeffrey Naber United States
Bianca Maria Vaglieco Italy
Song‐Charng Kong relative to Shijin Shuai China Shijin Shuai's profile →
Citations per field
00.5×1.5×1.9×
Shijin Shuai · 1×
Citations per year

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

The 25 scholars most cited alongside Song‐Charng Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Song‐Charng Kong Line = papers co-authored together Song‐Charng Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20240
4 20241
5 20237
6 20222
7 20226
8 20228
9 202114
10 20202
11 20209
12 20209
13 201755
14
가솔린-암모니아 혼합연소시 가솔린기관의 성능 특성에 관한 암모니아 해리촉매의 영향
20131
15 20138
16 201122
17 201148
18 201032
19 200328
20 2001223

About Song‐Charng Kong

Song‐Charng Kong is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Surfaces, Coatings and Films and Biomedical Engineering, having authored 138 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (87 papers), Combustion and flame dynamics (50 papers), Vehicle emissions and performance (39 papers), Biodiesel Production and Applications (32 papers), Fluid Dynamics and Heat Transfer (31 papers), Catalytic Processes in Materials Science (24 papers), Thermochemical Biomass Conversion Processes (21 papers) and Fluid Dynamics Simulations and Interactions (20 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (5.1k citations), Computational Mechanics (4.2k citations), Automotive Engineering (1.7k citations), Biomedical Engineering (2.5k citations) and Catalysis (384 citations). Song‐Charng Kong has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Rolf D. Reitz, Qingang Xiong, George E. Zacharakis-Jutz, Kyung-Hyun Ryu, Zhiyu Han, Xiufeng Yang, Soroush Aramideh, Yong Sun, Gregory J. Hampson and Craig Marriott. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Engineering for Gas Turbines and Power, Energy & Fuels, Fuel and International Journal of Engine Research.

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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