Dae‐Jin Lee

32 papers receiving 791 citations

Peers

Dae‐Jin Lee
Comparison fields: 5 of 127
  • Geriatrics and Gerontology 73
  • Otorhinolaryngology 61
  • Statistics and Probability 82
  • Physiology 250
  • Orthopedics and Sports Medicine 50
Replace Elisabeth Waldmann with:
Elisabeth Waldmann Germany
Jin Liu China
Virginia F. Flack United States
Luís Meira‐Machado Portugal
Huann‐Sheng Chen United States
Joanna Watson United Kingdom
Hemin Lee United States
Thomas Steichen United States
Udaya B. Kogalur United States
Aris Perperoglou United Kingdom
Dae‐Jin Lee relative to Elisabeth Waldmann Germany Elisabeth Waldmann's profile →
Citations per field
00.5×10×12.5×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012262
2 1998127
3 201158
4 201240
5 200839
6 201433
7 202131
8 202026
9 202026
10 202320
11 198718
12 202316
13 201715
14 201714
15 201811
16 202210
17 20249
18 20237
19 20177
20 20206

About Dae‐Jin Lee

Dae‐Jin Lee is a scholar working on Statistics and Probability, Economics and Econometrics, Orthopedics and Sports Medicine, Nature and Landscape Conservation and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 814 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (5 papers), Sports injuries and prevention (4 papers), Traffic and Road Safety (3 papers), Cardiovascular Effects of Exercise (3 papers), Evacuation and Crowd Dynamics (3 papers) and Spatial and Panel Data Analysis (3 papers). The work is most often cited by research in Geriatrics and Gerontology (73 citations), Otorhinolaryngology (61 citations), Statistics and Probability (82 citations), Physiology (250 citations) and Orthopedics and Sports Medicine (50 citations). Dae‐Jin Lee has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include Maŕıa Durbán, Decheng Hong, K.-M. Kim, Young Ju Choi, Nam‐Seok Joo, Yoon‐Sok Chung, Yeon Soo Kim, Yunhwan Lee, Paul H.C. Eilers and David W. Eisele. Their work appears in journals such as Statistical Modelling, Computational Statistics & Data Analysis, Physica A Statistical Mechanics and its Applications, Computer Methods and Programs in Biomedicine and Journal of the Royal Statistical Society Series C (Applied Statistics).

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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