Byunghan Lee

2.5k citations
22 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
Genomics and Phylogenetic Studies (7 papers)Protein Structure and Dynamics (4 papers)Cancer-related molecular mechanisms research (4 papers)
Partner nations
South Korea

In The Last Decade

Byunghan Lee

22 papers receiving 1.5k citations

Hit Papers

Deep learning in bioinformatics201620262019202220162505007501000

Peers

Byunghan Lee
Comparison fields: 5 of 157
  • Molecular Biology 791
  • Artificial Intelligence 346
  • Cancer Research 190
  • Cognitive Neuroscience 148
  • Biomedical Engineering 128
Replace Seonwoo Min with:
Seonwoo Min South Korea
Alioune Ngom Canada
Yuanpeng Zhang China
Tanel Pärnamaa Estonia
Mohamed Ghalwash United States
Sören Sonnenburg Germany
Luis Rueda Canada
Maxwell W. Libbrecht Canada
Xinghua Shi United States
William Noble Grundy United States
Byunghan Lee relative to Seonwoo Min South Korea Seonwoo Min's profile →
Citations per field
00.5×4.3×
Seonwoo Min · 1×
Citations per year

Countries citing papers authored by Byunghan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Byunghan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byunghan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Byunghan Lee. A scholar is included among the top collaborators of Byunghan 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 Byunghan Lee. Byunghan 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 2
2 5
3 3
4 7
5 11
6 94
7 27
8 12
9 33
10 13
11 4
12 1
13 74
14 5
15
Deep learning in bioinformaticsbreakdown →
1026
16 90
17 66
18 8
19 22
20 1

About Byunghan Lee

Byunghan Lee is a scholar working on Signal Processing, Cancer Research and Artificial Intelligence, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Protein Structure and Dynamics (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Health Informatics (22 citations), Cancer Research (190 citations) and Molecular Biology (791 citations). Byunghan Lee has collaborated with scholars based in South Korea. Frequent co-authors include Sungroh Yoon, Seonwoo Min, Hyun-Soo Choi, Sunyoung Kwon, Siwon Kim, Seunghyun Park, Minseo Kang, Tae-Won Kang, Ho Bae and Jongsik Chun. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Access.

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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