Junghye Lee

1.5k citations
59 papers · 1.1k · h-index 17

Impact in

Papers in

Junghye Lee

52 papers receiving 1.0k citations

Peers

Junghye Lee
Comparison fields: 5 of 149
  • Health Informatics 28
  • Surfaces, Coatings and Films 74
  • Artificial Intelligence 286
  • Health Information Management 38
  • Mechanics of Materials 107
Replace Alessandro Massaro with:
Alessandro Massaro Italy
Jianing Zhang China
Liang Ding China
John Dagdelen United States
Zhong-Liang Zhang China
Dun Li China
Ammar Ahmed Alkahtani Malaysia
Yiqi Wu China
Elnaz Akbari Malaysia
Beibei Li China
Junghye Lee relative to Alessandro Massaro Italy Alessandro Massaro's profile →
Citations per field
00.5×4.7×
Alessandro Massaro · 1×
Citations per year

Countries citing papers authored by Junghye Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Junghye Lee Line = papers co-authored together Junghye Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 2020110
3 1997107
4 201663
5 202049
6 202247
7 201945
8 199842
9 202234
10 199633
11 200932
12 200327
13 201826
14 200921
15 201017
16 201817
17 202016
18 202015
19 202215
20 201515

About Junghye Lee

Junghye Lee is a scholar working on Artificial Intelligence, Biomedical Engineering, Molecular Biology, Information Systems and Materials Chemistry, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Artificial Intelligence in Healthcare (4 papers), Diamond and Carbon-based Materials Research (4 papers), Machine Learning in Healthcare (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Remote Sensing in Agriculture (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Health Informatics (28 citations), Surfaces, Coatings and Films (74 citations), Artificial Intelligence (286 citations), Health Information Management (38 citations) and Mechanics of Materials (107 citations). Junghye Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Chi‐Hyuck Jun, Suhyeon Kim, Xiaoqian Jiang, Yeonhee Lee, Shuang Wang, Jimeng Sun, Fei Wang, Seunghee Han, In Young Choi 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.

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