Hyeseon Lee

1.0k citations
40 papers · 819 · h-index 16

Impact in

    • Digital Mental Health Interventions
  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

Hyeseon Lee

38 papers receiving 765 citations

Peers

Hyeseon Lee
Comparison fields: 5 of 140
  • Applied Psychology 50
  • Biophysics 52
  • Analytical Chemistry 84
  • Complementary and Manual Therapy 15
  • Statistics, Probability and Uncertainty 48
Replace Sungjin Hong with:
Sungjin Hong United States
Yuewen Liu China
Javier Pereira Spain
Xiaowei Geng China
Anindita Saha United States
Markus Steiner Germany
Xuan Liu China
Namita Srivastava India
Elnaz Akbari Malaysia
Hosub Lee South Korea
Hyeseon Lee relative to Sungjin Hong United States Sungjin Hong's profile →
Citations per field
00.5×10×13×
Sungjin Hong · 1×
Citations per year

Countries citing papers authored by Hyeseon Lee

Since Specialization
Citations

This map shows the geographic impact of Hyeseon 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 Hyeseon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeseon Lee more than expected).

Fields of papers citing papers by Hyeseon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017145
2 2017115
3 201754
4 201153
5 201643
6 201440
7 202033
8 200828
9 201327
10 202222
11 202119
12 200119
13 201217
14 200417
15 201516
16 201515
17 202413
18 201312
19 200711
20 201110

About Hyeseon Lee

Hyeseon Lee is a scholar working on Analytical Chemistry, Biophysics, Biomedical Engineering, Molecular Biology and Marketing, having authored 40 papers that have together received 819 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Advanced Chemical Sensor Technologies (6 papers), Customer churn and segmentation (4 papers), Consumer Market Behavior and Pricing (3 papers), Impact of Technology on Adolescents (3 papers), Artificial Intelligence in Healthcare (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Applied Psychology (50 citations), Biophysics (52 citations), Analytical Chemistry (84 citations), Complementary and Manual Therapy (15 citations) and Statistics, Probability and Uncertainty (48 citations). Hyeseon Lee has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Dai‐Jin Kim, Hyun Cho, Mi Jung Rho, Taek-Ho Lee, Chi‐Hyuck Jun, Euihyeon Na, Hoeil Chung, In Young Choi, Yong Seog Kim and Seungmoon Choi. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Carbon, Chemical and Biological Technologies in Agriculture, Talanta and IEEE Transactions on Haptics.

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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