Byung Do Lee

744 citations
52 papers · 540 · h-index 14

Impact in

Papers in

    • Machine Learning in Materials Science 8
    • Luminescence Properties of Advanced Materials 5
    • X-ray Diffraction in Crystallography 4
    • Oral and Maxillofacial Pathology 10
    • Dental Radiography and Imaging 5

Byung Do Lee

45 papers receiving 523 citations

Peers

Byung Do Lee
Comparison fields: 5 of 90
  • Oral Surgery 136
  • General Dentistry 9
  • Metals and Alloys 12
  • Materials Chemistry 181
  • Orthopedics and Sports Medicine 29
Replace Alexander V. Zavgorodniy with:
Alexander V. Zavgorodniy Australia
René Beutner Germany
Sina Rößler Germany
Kazuhiro Kaibara Japan
Taylor McLachlan United States
Xiaogang Jin China
Gérard Balossier France
Kaining Liu China
L. Obadia France
Fredrik Currie Sweden
Byung Do Lee relative to Alexander V. Zavgorodniy Australia Alexander V. Zavgorodniy's profile →
Citations per field
00.5×3.6×
Alexander V. Zavgorodniy · 1×
Citations per year

Countries citing papers authored by Byung Do Lee

Since Specialization
Citations

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

Fields of papers citing papers by Byung Do Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200571
2 200941
3 202235
4 201333
5 202128
6 202127
7 202224
8 201023
9 202122
10 202121
11 202220
12 202219
13 202018
14 202315
15 202313
16 201313
17 202212
18 20219
19 20188
20 20248

About Byung Do Lee

Byung Do Lee is a scholar working on Materials Chemistry, Oral Surgery, Electrical and Electronic Engineering, Rheumatology and Surgery, having authored 52 papers that have together received 540 indexed citations. Recurring topics across this work include Oral and Maxillofacial Pathology (10 papers), Machine Learning in Materials Science (8 papers), Bone Tumor Diagnosis and Treatments (7 papers), Perovskite Materials and Applications (7 papers), Luminescence Properties of Advanced Materials (5 papers), Dental Radiography and Imaging (5 papers), X-ray Diffraction in Crystallography (4 papers) and Advanced Battery Materials and Technologies (4 papers). The work is most often cited by research in Oral Surgery (136 citations), General Dentistry (9 citations), Metals and Alloys (12 citations), Materials Chemistry (181 citations) and Orthopedics and Sports Medicine (29 citations). Byung Do Lee has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Kee‐Sun Sohn, Stuart C. White, Woon Bae Park, Jin-Woong Lee, Wan Lee, John B. Ludlow, Myoungho Pyo, Satendra Pal Singh, Minseuk Kim and Chaewon Park. Their work appears in journals such as Scientific Reports, npj Computational Materials, Journal of Materials Chemistry A, Imaging Science in Dentistry and Advanced Science.

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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