Jigu Seo

436 total citations
20 papers, 284 citations indexed

About

Jigu Seo is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering. According to data from OpenAlex, Jigu Seo has authored 20 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Automotive Engineering, 7 papers in Health, Toxicology and Mutagenesis and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Jigu Seo's work include Vehicle emissions and performance (15 papers), Air Quality and Health Impacts (7 papers) and Electric Vehicles and Infrastructure (7 papers). Jigu Seo is often cited by papers focused on Vehicle emissions and performance (15 papers), Air Quality and Health Impacts (7 papers) and Electric Vehicles and Infrastructure (7 papers). Jigu Seo collaborates with scholars based in South Korea, United States and France. Jigu Seo's co-authors include Sungwook Park, Junhong Park, Jisu Park, Jong-Tae Lee, Ju‐Won Kim, Kevin Stutenberg, Aymeric Rousseau, Ram Vijayagopal, Yunsung Lim and Junepyo Cha and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Energy Policy.

In The Last Decade

Jigu Seo

18 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jigu Seo South Korea 10 223 94 85 56 55 20 284
Yachao Wang China 11 308 1.4× 52 0.6× 146 1.7× 72 1.3× 85 1.5× 28 359
Zhiqiang Zhai China 15 387 1.7× 89 0.9× 167 2.0× 98 1.8× 103 1.9× 34 469
W. Gis Poland 11 278 1.2× 32 0.3× 81 1.0× 79 1.4× 45 0.8× 90 368
Roberto Aliandro Varella Portugal 11 386 1.7× 67 0.7× 212 2.5× 77 1.4× 105 1.9× 13 441
Nils Hooftman Belgium 4 301 1.3× 64 0.7× 138 1.6× 128 2.3× 96 1.7× 10 436
José-María López Spain 7 257 1.2× 54 0.6× 111 1.3× 54 1.0× 43 0.8× 7 379
Martin Rexeis United States 10 336 1.5× 84 0.9× 213 2.5× 65 1.2× 47 0.9× 37 458
Yizheng Wu China 12 277 1.2× 85 0.9× 145 1.7× 48 0.9× 62 1.1× 37 381
Marta V. Faria Portugal 10 279 1.3× 53 0.6× 156 1.8× 87 1.6× 79 1.4× 14 356
Uwe Tietge Germany 9 370 1.7× 72 0.8× 159 1.9× 132 2.4× 190 3.5× 13 451

Countries citing papers authored by Jigu Seo

Since Specialization
Citations

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

Fields of papers citing papers by Jigu Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jigu Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Jigu Seo. A scholar is included among the top collaborators of Jigu Seo 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 Jigu Seo. Jigu Seo 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.
Seo, Jigu, et al.. (2025). Effects of ambient temperature on electric vehicle range considering battery Performance, powertrain Efficiency, and HVAC load. Energy Conversion and Management. 326. 119493–119493. 10 indexed citations
3.
Seo, Jigu, et al.. (2025). Development of the Power- and Usage-Based Simulator for Evaluating Off-Road Mobile Machinery Energy Consumption. SAE technical papers on CD-ROM/SAE technical paper series. 1.
4.
Seo, Jigu. (2025). Component-level energy consumption and range analysis of battery electric vehicles under urban and highway driving conditions. Applied Thermal Engineering. 274. 126797–126797. 1 indexed citations
5.
Seo, Jigu & Junepyo Cha. (2025). Real-world analysis of energy consumption in a battery electric vehicle: Effects of ambient temperatures and thermal management system operation. Energy Conversion and Management. 345. 120372–120372. 1 indexed citations
6.
Seo, Jigu, et al.. (2025). Impact of Temperature, HVAC Usage, and Driving Patterns on the Energy Consumption of ICEVs and BEVs. International Journal of Automotive Technology. 26(3). 637–648.
7.
Mansour, Charbel, et al.. (2024). Comprehensive Thermal Modeling and Analysis of a 2019 Nissan Leaf Plus for Enhanced Battery Electric Vehicle Performance. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
8.
Seo, Jigu, et al.. (2023). Machine learning-based estimation of gaseous and particulate emissions using internally observable vehicle operating parameters. Urban Climate. 52. 101734–101734. 3 indexed citations
9.
Seo, Jigu & Sungwook Park. (2023). Developing an official program to calculate heavy-duty vehicles CO2 emissions in Korea. Transportation Research Part D Transport and Environment. 120. 103774–103774. 9 indexed citations
10.
Seo, Jigu & Sungwook Park. (2022). Optimizing model parameters of artificial neural networks to predict vehicle emissions. Atmospheric Environment. 294. 119508–119508. 40 indexed citations
11.
Park, Jisu, Jigu Seo, & Sungwook Park. (2022). Development of vehicle emission rates based on vehicle-specific power and velocity. The Science of The Total Environment. 857. 159622–159622. 23 indexed citations
12.
Seo, Jigu, et al.. (2021). Prediction of instantaneous real-world emissions from diesel light-duty vehicles based on an integrated artificial neural network and vehicle dynamics model. The Science of The Total Environment. 786. 147359–147359. 49 indexed citations
13.
Seo, Jigu, et al.. (2021). Development of a cold-start emission model for diesel vehicles using an artificial neural network trained with real-world driving data. The Science of The Total Environment. 806(Pt 3). 151347–151347. 19 indexed citations
14.
Seo, Jigu, Jisu Park, Junhong Park, & Sungwook Park. (2020). Emission factor development for light-duty vehicles based on real-world emissions using emission map-based simulation. Environmental Pollution. 270. 116081–116081. 36 indexed citations
15.
Seo, Jigu, et al.. (2020). Greenhouse Gas Emissions from Heavy-duty Natural Gas Vehicles in Korea. Aerosol and Air Quality Research. 20(6). 1418–1428. 5 indexed citations
16.
Seo, Jigu, et al.. (2018). Estimation of CO2 emissions from heavy-duty vehicles in Korea and potential for reduction based on scenario analysis. The Science of The Total Environment. 636. 1192–1201. 25 indexed citations
17.
Park, Junhong, et al.. (2017). Estimation of CO 2 reduction by parallel hard-type power hybridization for gasoline and diesel vehicles. The Science of The Total Environment. 595. 2–12. 11 indexed citations
18.
Khan, Azmatullah, Jan E. Szulejko, Min‐Suk Bae, et al.. (2017). Long-term trend analysis of CO in the Yongsan district of Seoul, Korea, between the years 1987 and 2013. Atmospheric Pollution Research. 8(5). 988–996. 2 indexed citations
19.
Park, Junhong, et al.. (2016). Development strategies to satisfy corporate average CO2 emission regulations of light duty vehicles (LDVs) in Korea. Energy Policy. 98. 121–132. 9 indexed citations
20.

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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