Sangil Kwon

1.4k total citations
40 papers, 1.2k citations indexed

About

Sangil Kwon is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Fluid Flow and Transfer Processes. According to data from OpenAlex, Sangil Kwon has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Automotive Engineering, 20 papers in Health, Toxicology and Mutagenesis and 12 papers in Fluid Flow and Transfer Processes. Recurrent topics in Sangil Kwon's work include Vehicle emissions and performance (33 papers), Air Quality and Health Impacts (20 papers) and Advanced Combustion Engine Technologies (12 papers). Sangil Kwon is often cited by papers focused on Vehicle emissions and performance (33 papers), Air Quality and Health Impacts (20 papers) and Advanced Combustion Engine Technologies (12 papers). Sangil Kwon collaborates with scholars based in South Korea. Sangil Kwon's co-authors include Chang Sik Lee, Sung Wook Park, Jongtae Lee, Simsoo Park, Cha-Lee Myung, Junhong Park, Dongyoung Jin, Jinyoung Ko, Sungwook Park and Joonho Jeon and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Applied Energy.

In The Last Decade

Sangil Kwon

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangil Kwon South Korea 17 699 579 381 378 208 40 1.2k
W. Scott Wayne United States 20 885 1.3× 560 1.0× 240 0.6× 303 0.8× 196 0.9× 72 1.2k
Simsoo Park South Korea 20 989 1.4× 691 1.2× 168 0.4× 470 1.2× 347 1.7× 71 1.3k
Joseph McDonald United States 18 553 0.8× 349 0.6× 284 0.7× 265 0.7× 149 0.7× 45 1.0k
Joseph Woodburn Poland 20 885 1.3× 490 0.8× 177 0.5× 420 1.1× 248 1.2× 72 1.1k
Pravesh Chandra Shukla India 21 643 0.9× 1.0k 1.8× 776 2.0× 205 0.5× 436 2.1× 59 1.5k
Lijun Hao China 21 955 1.4× 432 0.7× 130 0.3× 486 1.3× 279 1.3× 61 1.2k
Asad Naeem Shah Pakistan 16 425 0.6× 297 0.5× 297 0.8× 192 0.5× 207 1.0× 39 811
S. S. Thipse India 16 294 0.4× 558 1.0× 408 1.1× 101 0.3× 144 0.7× 91 877
M. David Checkel Canada 23 529 0.8× 918 1.6× 240 0.6× 82 0.2× 296 1.4× 68 1.4k
Jacek Pielecha Poland 20 1.3k 1.9× 474 0.8× 104 0.3× 470 1.2× 98 0.5× 170 1.5k

Countries citing papers authored by Sangil Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sangil Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangil Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Sangil Kwon. A scholar is included among the top collaborators of Sangil 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 Sangil Kwon. Sangil 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.
Choi, Sung‐Woon, et al.. (2024). Development of a Driving Pedal Robot for Indoor Chassis Dynamometer Testing. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
2.
Kwon, Sangil, et al.. (2024). Chemical Assessment of Real Driving Tire and Road Wear Particles in Urban and Suburban Seoul, Korea. Sustainability. 16(23). 10395–10395. 1 indexed citations
3.
Kim, Hyung Jun, et al.. (2023). Assessment of Energy Consumption Characteristics of Ultra-Heavy-Duty Vehicles under Real Driving Conditions. Energies. 16(5). 2333–2333. 3 indexed citations
5.
Lee, Jong-Hak, et al.. (2021). Machine Learning Applied to the NOx Prediction of Diesel Vehicle under Real Driving Cycle. Applied Sciences. 11(9). 3758–3758. 17 indexed citations
6.
Kim, Hyung Jun, Sang Hyun Lee, Sangil Kwon, et al.. (2020). Investigation of the Emission Characteristics of Light-Duty Diesel Vehicles in Korea Based on EURO-VI Standards According to Type of After-Treatment System. Energies. 13(18). 4936–4936. 8 indexed citations
7.
Lee, Jong-Hak, Taekwan Yoon, Sangil Kwon, & Jongtae Lee. (2019). Model Evaluation for Forecasting Traffic Accident Severity in Rainy Seasons Using Machine Learning Algorithms: Seoul City Study. Applied Sciences. 10(1). 129–129. 58 indexed citations
8.
Kwon, Sangil, et al.. (2017). CO 2 emissions correction of light-duty vehicles based on an energy deviation analysis method. Transportation Research Part D Transport and Environment. 56. 286–304. 2 indexed citations
9.
Woo, Sang-Hee, Kyung‐Hwan Kwak, Gwi–Nam Bae, et al.. (2016). Overestimation of on-road air quality surveying data measured with a mobile laboratory caused by exhaust plumes of a vehicle ahead in dense traffic areas. Environmental Pollution. 218. 1116–1127. 15 indexed citations
10.
Lim, Jae‐Hyun, et al.. (2016). Characterization of particulate matter from diesel passenger cars tested on chassis dynamometers. Journal of Environmental Sciences. 54. 21–32. 28 indexed citations
12.
Shim, Euijoon, et al.. (2014). Investigation of Combustion Strategy for Commercialization of Low Temperature Diesel Combustion Engine. Transactions of Korean Society of Automotive Engineers. 22(6). 120–127. 2 indexed citations
13.
Lee, Taewoo, et al.. (2013). Variability in operation-based NOx emission factors with different test routes, and its effects on the real-driving emissions of light diesel vehicles. The Science of The Total Environment. 461-462. 377–385. 65 indexed citations
14.
Jeon, Joonho, Jong-Tae Lee, Sangil Kwon, et al.. (2013). Flame temperature distributions of biodiesel fuel in a single-cylinder diesel engine. Fuel Processing Technology. 110. 227–234. 20 indexed citations
15.
Kwon, Sangil & Jia Hong. (2010). Particle number and size distribution characteristics from diesel- and liquefied-natural-gas-fuelled buses for various emission certification modes in the Republic of Korea. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 224(12). 1569–1579. 10 indexed citations
16.
Kwon, Sangil, et al.. (2007). Effect of DPF Regeneration on the Nano Particle Emission of Diesel Passenger Vehicle. Transactions of Korean Society of Automotive Engineers. 15(3). 153–159. 1 indexed citations
17.
Yoon, Seung Hyun, Sung Wook Park, Dae Sik Kim, Sangil Kwon, & Chang Sik Lee. (2005). Combustion and Emission Characteristics of Biodiesel Fuels in a Common-Rail Diesel Engine. 311–316. 4 indexed citations
18.
Suh, Hyun Kyu, et al.. (2004). Macroscopic Behavior and Atomization Characteristics of Bio-diesel Fuels. Transactions of Korean Society of Automotive Engineers. 12(6). 23–29. 4 indexed citations
19.
Kwon, Sangil, et al.. (2000). Behavior of 2-Stage Injection on Diesel Spray. 5(4). 33–39.
20.
Kwon, Sangil, Masataka ARAI, & H. Hiroyasu. (1989). Effects of Cylinder Temperature and Pressure on Ignition Delay in Direct Injection Diesel Engine. JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN. 24(1). 26–36. 12 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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