Dae‐Jin Lee

34 papers receiving 847 citations

Peers

Dae‐Jin Lee
Comparison fields: 5 of 135
  • Otorhinolaryngology 55
  • Geriatrics and Gerontology 34
  • Statistics and Probability 85
  • Physiology 223
  • Orthopedics and Sports Medicine 49
Replace Elisabeth Waldmann with:
Elisabeth Waldmann Germany
Henrik Bengtsson United States
Virginia F. Flack United States
Joanna Watson United Kingdom
Erik Sauleau France
Barry Kurt Moser United States
Hoon Kim South Korea
Zhongqi Li China
Hui Huang China
Udaya B. Kogalur United States
Dae‐Jin Lee relative to Elisabeth Waldmann Germany Elisabeth Waldmann's profile →
Citations per field
00.5×10×16.3×
Elisabeth Waldmann · 1×
Citations per year

Countries citing papers authored by Dae‐Jin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012270
2 1998129
3 201159
4 201240
5 200839
6 202136
7 201434
8 202030
9 202030
10 202321
11 202319
12 198718
13 201018
14 201715
15 201715
16 201812
17 202211
18 202410
19 20099
20 20177

About Dae‐Jin Lee

Dae‐Jin Lee is a scholar working on Statistics and Probability, Ocean Engineering, Epidemiology, Economics and Econometrics and Control and Systems Engineering, having authored 44 papers that have together received 879 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (6 papers), Evacuation and Crowd Dynamics (5 papers), Advanced Statistical Methods and Models (5 papers), Traffic and Road Safety (4 papers), Sports injuries and prevention (4 papers), Traffic control and management (3 papers) and Spatial and Panel Data Analysis (3 papers). The work is most often cited by research in Otorhinolaryngology (55 citations), Geriatrics and Gerontology (34 citations), Statistics and Probability (85 citations), Physiology (223 citations) and Orthopedics and Sports Medicine (49 citations). Dae‐Jin Lee has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Maŕıa Durbán, Nam‐Seok Joo, Young Ju Choi, Yoon‐Sok Chung, Yeon Soo Kim, Yunhwan Lee, Decheng Hong, K.-M. Kim, Paul H.C. Eilers and David W. Eisele. Their work appears in journals such as PLoS ONE, Statistical Modelling, Computer Methods and Programs in Biomedicine, Simulation Modelling Practice and Theory and Physica A Statistical Mechanics and its Applications.

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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