Junghye Lee
Impact in
- Health Informatics top 5%
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
Papers in
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- Machine Learning in Healthcare 5
- Privacy-Preserving Technologies in Data 4
-
- Ginseng Biological Effects and Applications 3
- Co-authors
- Chi‐Hyuck Jun (15 shared papers)Suhyeon Kim (3 shared papers)Xiaoqian Jiang (3 shared papers)Yeonhee Lee (5 shared papers)Jimeng Sun (2 shared papers)Shuang Wang (2 shared papers)Seunghee Han (3 shared papers)Hyun‐Soo Kim (4 shared papers)
- Journals
- Information Sciences (4 papers)Expert Systems with Applications (4 papers)Journal of Ginseng Research (3 papers)Surface and Coatings Technology (3 papers)Chemometrics and Intelligent Laboratory Systems (2 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Junghye Lee
52 papers receiving 983 citations
Peers
Comparison fields: 5 of 151
- Health Informatics 33
- Surfaces, Coatings and Films 74
- Health Information Management 46
- Artificial Intelligence 289
- Mechanics of Materials 107
Countries citing papers authored by Junghye Lee
This map shows the geographic impact of Junghye 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 Junghye Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junghye Lee more than expected).
Fields of papers citing papers by Junghye Lee
This network shows the impact of papers produced by Junghye 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 Junghye Lee. The network helps show where Junghye Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Junghye Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 128 | |
| 2 | 1997 | 107 | |
| 3 | 2020 | 106 | |
| 4 | 2016 | 63 | |
| 5 | 2020 | 48 | |
| 6 | 2022 | 45 | |
| 7 | 2019 | 44 | |
| 8 | 1998 | 42 | |
| 9 | 1996 | 33 | |
| 10 | 2009 | 32 | |
| 11 | 2022 | 32 | |
| 12 | 2003 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2009 | 21 | |
| 15 | 2010 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2015 | 15 | |
| 20 | 2023 | 14 |
About Junghye Lee
Junghye Lee is a scholar working on Artificial Intelligence, Molecular Biology, Biomedical Engineering, Information Systems and Materials Chemistry, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (5 papers), Machine Learning in Healthcare (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Artificial Intelligence in Healthcare (4 papers), Privacy-Preserving Technologies in Data (4 papers), Diamond and Carbon-based Materials Research (4 papers), Ginseng Biological Effects and Applications (3 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Health Informatics (33 citations), Surfaces, Coatings and Films (74 citations), Health Information Management (46 citations), Artificial Intelligence (289 citations) and Mechanics of Materials (107 citations). Junghye Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Chi‐Hyuck Jun, Suhyeon Kim, Xiaoqian Jiang, Yeonhee Lee, Jimeng Sun, Shuang Wang, Seunghee Han, Hyun‐Soo Kim, Fei Wang and Min‐Sik Park. Their work appears in journals such as Information Sciences, Expert Systems with Applications, Journal of Ginseng Research, Surface and Coatings Technology and Chemometrics and Intelligent Laboratory Systems.
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.