Won-Chul Lee

41 papers receiving 897 citations

Peers

Won-Chul Lee
Comparison fields: 5 of 79
  • Electrochemistry 216
  • Bioengineering 137
  • Polymers and Plastics 292
  • Electrical and Electronic Engineering 558
  • Pharmaceutical Science 57
Replace Ilkka Lähdesmäki with:
Ilkka Lähdesmäki United States
Kwang Bok Kim South Korea
Santhisagar Vaddiraju United States
Jeffrey D. Newman United Kingdom
Danielle Bruen Ireland
Jinglong Liu China
Chaoxiong Ma United States
Petar Kassal Croatia
Zilin Chen China
Won-Chul Lee relative to Ilkka Lähdesmäki United States Ilkka Lähdesmäki's profile →
Citations per field
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Ilkka Lähdesmäki · 1×
Citations per year

Countries citing papers authored by Won-Chul Lee

Since Specialization
Citations

This map shows the geographic impact of Won-Chul 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-Chul 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-Chul Lee more than expected).

Fields of papers citing papers by Won-Chul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019211
2 2016121
3 201894
4 201885
5 201945
6 200142
7 201638
8 202031
9 202222
10 199922
11 202221
12 200418
13 201416
14 201114
15 201812
16 200611
17 199410
18 200710
19 20229
20 19948

About Won-Chul Lee

Won-Chul Lee is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Organic Chemistry, Materials Chemistry and Bioengineering, having authored 41 papers that have together received 910 indexed citations. Recurring topics across this work include Conducting polymers and applications (19 papers), Analytical Chemistry and Sensors (8 papers), Electrochemical sensors and biosensors (7 papers), Organic Electronics and Photovoltaics (7 papers), Luminescence and Fluorescent Materials (5 papers), Electrochemical Analysis and Applications (4 papers), Video Coding and Compression Technologies (4 papers) and Polydiacetylene-based materials and applications (4 papers). The work is most often cited by research in Electrochemistry (216 citations), Bioengineering (137 citations), Polymers and Plastics (292 citations), Electrical and Electronic Engineering (558 citations) and Pharmaceutical Science (57 citations). Won-Chul Lee has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Yoon‐Bo Shim, Deog‐Su Park, Cheol Soo Choi, N.G. Gurudatt, Khalil K. Hussain, Kwang‐Bok Kim, Dong‐Min Kim, Kwang Bok Kim, Cheol Soo Choi and Jong‐Min Moon. Their work appears in journals such as Journal of Macromolecular Science Part A, Sensors and Actuators B Chemical, Biosensors and Bioelectronics, Current Applied Physics and Scientific Reports.

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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