Won‐Il Lee

923 citations
56 papers · 678 · h-index 14

Impact in

Papers in

Won‐Il Lee

50 papers receiving 652 citations

Peers

Won‐Il Lee
Comparison fields: 5 of 94
  • Biomedical Engineering 281
  • Water Science and Technology 67
  • Computer Networks and Communications 94
  • Infectious Diseases 71
  • Electrical and Electronic Engineering 194
Replace Wenying Zhao with:
Wenying Zhao China
Liang Wan China
A.R. Wright United Kingdom
Kihyeun Kim South Korea
Yuzhu Chen China
Enisa Omanović-Mikličanin Bosnia and Herzegovina
Yuxin Liu United States
Jinghua Zhang China
Tingting Pan China
Nuria de Mas United States
Won‐Il Lee relative to Wenying Zhao China Wenying Zhao's profile →
Citations per field
00.5×6.7×
Wenying Zhao · 1×
Citations per year

Countries citing papers authored by Won‐Il Lee

Since Specialization
Citations

This map shows the geographic impact of Won‐Il 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‐Il 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‐Il Lee more than expected).

Fields of papers citing papers by Won‐Il Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 201773
3 202036
4 200935
5 202332
6 201131
7 202230
8 201524
9 201623
10 202323
11 202023
12 201519
13 202418
14 202416
15 202213
16 202313
17 201313
18 202312
19 200912
20 202311

About Won‐Il Lee

Won‐Il Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Molecular Biology and Mechanical Engineering, having authored 56 papers that have together received 678 indexed citations. Recurring topics across this work include Semiconductor materials and devices (10 papers), Advancements in Photolithography Techniques (9 papers), Integrated Circuits and Semiconductor Failure Analysis (7 papers), Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Membrane Separation and Gas Transport (6 papers), Intellectual Property and Patents (4 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Biomedical Engineering (281 citations), Water Science and Technology (67 citations), Computer Networks and Communications (94 citations), Infectious Diseases (71 citations) and Electrical and Electronic Engineering (194 citations). Won‐Il Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Nae‐Eung Lee, Sajal Shrivastava, Jae-Young Pyun, Chang‐Yong Nam, Ashwanth Subramanian, Le Thai Duy, Kim Kisslinger, Nikhil Tiwale, Taeshin Park and Yong-Gyun Park. Their work appears in journals such as Biosensors and Bioelectronics, Nanoscale, Tetrahedron, Desalination and Nature Communications.

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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