Jae Yun Lee

1.1k citations
90 papers · 860 indexed · h-index 16
Topics
scientometrics and bibliometrics research (13 papers)Diverse Approaches in Healthcare and Education Studies (11 papers)Pesticide Residue Analysis and Safety (11 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of BacteriologyCurrent Opinion in Neurobiology

In The Last Decade

Jae Yun Lee

74 papers receiving 678 citations

Peers

Jae Yun Lee
Comparison fields: 5 of 154
  • Information Systems 206
  • Statistics, Probability and Uncertainty 103
  • Public Health, Environmental and Occupational Health 97
  • Molecular Biology 89
  • Cognitive Neuroscience 87
Replace Qiuyi Chen with:
Qiuyi Chen China
Shiyu Wang China
Minji Choi South Korea
David F. Percy United Kingdom
Marino Menozzi Switzerland
A. Kocoń Poland
Jarka Glassey United Kingdom
Stephen G. Whittaker United States
Christos Katsanos Greece
Mario González Ecuador
Jae Yun Lee relative to Qiuyi Chen China Qiuyi Chen's profile →
Citations per field
00.5×10×20×25.8×
Qiuyi Chen · 1×
Citations per year

Countries citing papers authored by Jae Yun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae Yun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Yun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Yun Lee. A scholar is included among the top collaborators of Jae Yun Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jae Yun Lee. Jae Yun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 3
4 1
5 2
6 6
7 10
8 1
9 1
10 26
11 0
12 2
13 5
14 2
15 9
16
Intellectual Structure and Infrastructure of Informetrics
0
17 1
18 36
19 8
20
Portable calibration system for displacement measuring sensors
1

About Jae Yun Lee

Jae Yun Lee is a scholar working on General Social Sciences, Statistics, Probability and Uncertainty and Information Systems, having authored 90 papers that have together received 860 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (13 papers), Diverse Approaches in Healthcare and Education Studies (11 papers) and Pesticide Residue Analysis and Safety (11 papers). The work is most often cited by research in General Social Sciences (79 citations), Statistics, Probability and Uncertainty (103 citations) and Information Systems (206 citations). Jae Yun Lee has collaborated with scholars based in South Korea, United States and Tunisia. Frequent co-authors include Heejung Kim, Ilsong Choi, Seung‐Hee Lee, Pan‐Jun Kim, Hyoung Jin Choi, Seung Hyuk Kwon, Eric S. Miller, Tae Keun Oh, Rosemary J. Redfield and Joshua Chang Mell. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and Current Opinion in Neurobiology.

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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