Won Suk Lee

12.9k citations
363 papers · 9.9k · h-index 55

Impact in

    • Spectroscopy and Chemometric Analyses
  • Plant Science top 0.5%
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Date Palm Research Studies

Papers in

Won Suk Lee

325 papers receiving 9.3k citations

Peers

Won Suk Lee
Comparison fields: 5 of 199
  • Analytical Chemistry 1.9k
  • Plant Science 3.7k
  • Environmental Engineering 978
  • Horticulture 65
  • Ecology 1.5k
Replace Johan Trygg with:
Johan Trygg Sweden
Søren Balling Engelsen Denmark
Bing Wang China
Xingxing Wang China
Ron Wehrens Netherlands
Johan A. Westerhuis Netherlands
Rui Li China
Yong He China
Jia Chen China
Junsong Wang China
Won Suk Lee relative to Johan Trygg Sweden Johan Trygg's profile →
Citations per field
00.5×5.9×
Johan Trygg · 1×
Citations per year

Countries citing papers authored by Won Suk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won Suk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 363 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994490
2 2010388
3 2013277
4 2006264
5 1994220
6 1999207
7 2008181
8 2019177
9 2009139
10 2013134
11 2011133
12 2013128
13 2006127
14 2002126
15 2020111
16 2018109
17 1992104
18 2018103
19 201594
20 201393

About Won Suk Lee

Won Suk Lee is a scholar working on Plant Science, Analytical Chemistry, Ecology, Molecular Biology and Environmental Engineering, having authored 363 papers that have together received 9.9k indexed citations. Recurring topics across this work include Smart Agriculture and AI (81 papers), Spectroscopy and Chemometric Analyses (74 papers), Remote Sensing in Agriculture (44 papers), Leaf Properties and Growth Measurement (36 papers), Water Quality Monitoring and Analysis (22 papers), Plant Pathogens and Fungal Diseases (17 papers), Soil Geostatistics and Mapping (17 papers) and Hydraulic Fracturing and Reservoir Analysis (13 papers). The work is most often cited by research in Analytical Chemistry (1.9k citations), Plant Science (3.7k citations), Environmental Engineering (978 citations), Horticulture (65 citations) and Ecology (1.5k citations). Won Suk Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Ki Whan Hong, Reza Ehsani, Thomas F. Burks, Matthias A. Hediger, Hao Gan, So Youn Park, Byung Yong Rhim, Jeong Hyun Lee, V. Alchanatis and Chi Dae Kim. Their work appears in journals such as Computers and Electronics in Agriculture, Biosystems Engineering, Precision Agriculture, Transactions of the ASABE and Journal of Pharmacology and Experimental Therapeutics.

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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