Won-Ju Lee

68 papers receiving 479 citations

Peers

Won-Ju Lee
Comparison fields: 5 of 73
  • Fluid Flow and Transfer Processes 172
  • Automotive Engineering 180
  • Environmental Engineering 143
  • Energy Engineering and Power Technology 20
  • Statistics, Probability and Uncertainty 41
Replace Zigor Uriondo with:
Zigor Uriondo Spain
Semin Semin Indonesia
Sebastian Brusca Italy
Marcus Thern Sweden
Douwe Stapersma Netherlands
Devaiah Nalianda United Kingdom
Jang-Hee Lee South Korea
Jens Friedrichs Germany
Artūras Kilikevičius Lithuania
Amedeo Amoresano Italy
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Citations per field
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Citations per year

Countries citing papers authored by Won-Ju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won-Ju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Ju Lee. 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 Won-Ju Lee. The network helps show where Won-Ju Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Won-Ju Lee, 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 Won-Ju Lee Line = papers co-authored together Won-Ju Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202136
2 202328
3 201626
4 202125
5 202120
6 202320
7 201817
8 202316
9 202214
10 202214
11 202214
12 201513
13 202413
14 202112
15 202412
16 202312
17 202311
18 202210
19 201910
20 20249

About Won-Ju Lee

Won-Ju Lee is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes, Environmental Engineering, Ocean Engineering and Civil and Structural Engineering, having authored 77 papers that have together received 522 indexed citations. Recurring topics across this work include Vehicle emissions and performance (28 papers), Advanced Combustion Engine Technologies (25 papers), Maritime Transport Emissions and Efficiency (23 papers), Engineering Applied Research (10 papers), Biodiesel Production and Applications (9 papers), Marine and Coastal Research (7 papers), Catalytic Processes in Materials Science (7 papers) and Atmospheric chemistry and aerosols (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (172 citations), Automotive Engineering (180 citations), Environmental Engineering (143 citations), Energy Engineering and Power Technology (20 citations) and Statistics, Probability and Uncertainty (41 citations). Won-Ju Lee has collaborated with scholars based in South Korea, Vietnam and United Kingdom. Frequent co-authors include Jae-Hyuk Choi, Min-Ho Park, Byongug Jeong, Jun Kang, Van Vang Le, Seul‐Hyun Park, Ji-Woong Lee, Sang-Kyun Park, Cheol-Hong Hwang and Sang Kyu Choi. Their work appears in journals such as Energies, Applied Sciences, Ocean Engineering, Journal of Cleaner Production and Journal of the Energy Institute.

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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