Yong-Gu Lee
- Water Science and Technology top 2%
- Industrial and Manufacturing Engineering top 2%
- Biomedical Engineering
- Pollution top 5%
- Materials Chemistry
- Co-authors
- Kangmin ChonJaegwan ShinSang-Won KimYongeun ParkJinwoo KwakChanggil SonKyung Hwa ChoAm Jang
- Topics
- Adsorption and biosorption for pollutant removal (20 papers)Membrane Separation Technologies (9 papers)Analytical Chemistry and Sensors (8 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Yong-Gu Lee
53 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Water Science and Technology 667
- Industrial and Manufacturing Engineering 338
- Biomedical Engineering 231
- Pollution 211
- Materials Chemistry 183
Countries citing papers authored by Yong-Gu Lee
This map shows the geographic impact of Yong-Gu 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 Yong-Gu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong-Gu Lee more than expected).
Fields of papers citing papers by Yong-Gu Lee
This network shows the impact of papers produced by Yong-Gu 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 Yong-Gu Lee. The network helps show where Yong-Gu Lee may publish in the future.
Co-authorship network of co-authors of Yong-Gu Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Gu Lee. A scholar is included among the top collaborators of Yong-Gu Lee 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 Yong-Gu Lee. Yong-Gu Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 27 | |
| 3 | Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materialsbreakdown → | 127 |
| 4 | 3 | |
| 5 | 37 | |
| 6 | 16 | |
| 7 | 17 | |
| 8 | 13 | |
| 9 | 44 | |
| 10 | 21 | |
| 11 | 33 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 97 | |
| 15 | Measurement of Cell Thickness using Optical Tweezers for Single Cell Transfection | 0 |
| 16 | 6 | |
| 17 | A Study on the Use of a Continuous Fiber Soil Reinforcement System to Revegetate a Cut Slope | 1 |
| 18 | A Robust PID Control Method with Neural Network | 3 |
| 19 | Separation of 20(R&S) Prosapogenin Isomers of Ginsenoside-$Rg_2$ and -$Rg_3$ from Ginseng Saponins by Reversed-Phase High Performance Liquid Chromatography | 1 |
| 20 | Property and Inhibition of the Hydrolysis of Ginseng Saponins by Organic Acids Neutralization in Ginseng Extract Preparations | 4 |
About Yong-Gu Lee
Yong-Gu Lee is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Bioengineering, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (20 papers), Membrane Separation Technologies (9 papers) and Analytical Chemistry and Sensors (8 papers). The work is most often cited by research in Water Science and Technology (667 citations), Industrial and Manufacturing Engineering (338 citations) and Pollution (211 citations). Yong-Gu Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kangmin Chon, Jaegwan Shin, Sang-Won Kim, Yongeun Park, Jinwoo Kwak, Changgil Son, Kyung Hwa Cho, Am Jang, Sang-Ho Lee and Zeeshan Haider Jaffari. Their work appears in journals such as Journal of the American Chemical Society, The Science of The Total Environment and Water Research.
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.