Sungjun Lee

1.7k citations
78 papers · 1.1k · h-index 18

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Radiation top 5%
    • Advanced X-ray Imaging Techniques
    • X-ray Spectroscopy and Fluorescence Analysis

Papers in

Sungjun Lee

73 papers receiving 1.1k citations

Peers

Sungjun Lee
Comparison fields: 5 of 114
  • Structural Biology 94
  • Radiation 211
  • Pollution 158
  • Waste Management and Disposal 54
  • Electrical and Electronic Engineering 360
Replace Daniela Mayumi Ushizima with:
Daniela Mayumi Ushizima United States
Roland Lawrence United States
Guanglei Wang China
Małgorzata Kujawińska Poland
Quanquan Mu China
Enric Cabruja Spain
Yang Yue China
Albert J. P. Theuwissen Netherlands
Hoon Heo South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Sungjun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sungjun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021186
2 2012111
3 202398
4 201297
5 201865
6 201942
7 201632
8 201932
9 201630
10 201529
11 202128
12
Image-Based Ship Detection and Classification for Unmanned Surface Vehicle Using Real-Time Object Detection Neural Networks
201825
13 202022
14 202321
15 201821
16 201218
17 202018
18 201418
19 202314
20 201614

About Sungjun Lee

Sungjun Lee is a scholar working on Statistics, Probability and Uncertainty, Radiation, Aerospace Engineering, Electrical and Electronic Engineering and Mechanical Engineering, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (11 papers), Scientific Measurement and Uncertainty Evaluation (9 papers), Advanced Power Amplifier Design (7 papers), Calibration and Measurement Techniques (5 papers), Radioactive Decay and Measurement Techniques (4 papers), Advanced X-ray Imaging Techniques (4 papers), Advanced SAR Imaging Techniques (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Structural Biology (94 citations), Radiation (211 citations), Pollution (158 citations), Waste Management and Disposal (54 citations) and Electrical and Electronic Engineering (360 citations). Sungjun Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Myung-Il Roh, Hyun-Chul Kim, Sang Won Jeong, Seong‐Kyoon Choi, Luman Zhao, Hee-Yeon Kim, Young Jae Lee, Jee Eun Han, Jin‐Kyu Park and Wookbong Kwon. Their work appears in journals such as Metrologia, Journal of Materials Engineering and Performance, IEEE Journal of Solid-State Circuits, Review of Scientific Instruments and Atmospheric measurement techniques.

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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