Chuljun Lee

502 citations
33 papers · 454 · h-index 12

Impact in

Papers in

Chuljun Lee

31 papers receiving 451 citations

Peers

Chuljun Lee
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 123
  • Electrical and Electronic Engineering 352
  • Polymers and Plastics 83
  • Bioengineering 16
  • Cognitive Neuroscience 46
Replace Shenming Huang with:
Shenming Huang China
Fernando Aguirre Argentina
Maria Trapatseli United Kingdom
Sebastián Pazos Argentina
Dimitris Tsoukalas Greece
Eveline R. W. van Doremaele Netherlands
Felix Cüppers Germany
Yulong Huang China
Jungyeop Oh South Korea
Aleandro Antidormi Italy
Chuljun Lee relative to Shenming Huang China Shenming Huang's profile →
Citations per field
00.5×6.3×
Shenming Huang · 1×
Citations per year

Countries citing papers authored by Chuljun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chuljun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 201942
3 202034
4 201930
5 202125
6 202124
7 201921
8 202120
9 202017
10 202114
11 202112
12 202111
13 201810
14 202110
15 20229
16 20219
17 20208
18 20188
19 20217
20 20206

About Chuljun Lee

Chuljun Lee is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Polymers and Plastics and Cognitive Neuroscience, having authored 33 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neuroscience and Neural Engineering (8 papers), Transition Metal Oxide Nanomaterials (7 papers), Neural Networks and Reservoir Computing (5 papers), Semiconductor materials and devices (4 papers), CCD and CMOS Imaging Sensors (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (123 citations), Electrical and Electronic Engineering (352 citations), Polymers and Plastics (83 citations), Bioengineering (16 citations) and Cognitive Neuroscience (46 citations). Chuljun Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hyunsang Hwang, Daeseok Lee, Myung-Jun Kim, Jong‐Min Oh, Seyoung Kim, Wooseok Choi, Sang‐Mo Koo, Myonghoon Kwak, Myung‐Yeon Cho and Jiyong Woo. Their work appears in journals such as IEEE Electron Device Letters, Nanotechnology, Scientific Reports, IEEE Journal of the Electron Devices Society and Japanese Journal of Applied Physics.

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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