Seul Bi Lee

100 total papers · 778 total citations
63 papers, 548 citations indexed

About

Seul Bi Lee is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Seul Bi Lee has authored 63 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Biomedical Engineering. Recurrent topics in Seul Bi Lee's work include Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced X-ray and CT Imaging (6 papers). Seul Bi Lee is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced X-ray and CT Imaging (6 papers). Seul Bi Lee collaborates with scholars based in South Korea, Ethiopia and United States. Seul Bi Lee's co-authors include Pil Joo Kim, Yeon Jin Cho, Young Hun Choi, Chang Hoon Lee, Jung‐Eun Cheon, Seunghyun Lee, Ki Yuol Jung, Woo Sun Kim, Daewon Chung and Chan Yu and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Scientific Reports.

In The Last Decade

Seul Bi Lee

56 papers receiving 529 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Seul Bi Lee	132	124	116	69	59	63	548
Jinheng Zhang	60 0.5×	20 0.2×	53 0.5×	209 3.0×	9 0.2×	41	596
Ying Jie Zhang	50 0.4×	55 0.4×	35 0.3×	40 0.6×	23 0.4×	41	453
Daniele Bianchi	28 0.2×	26 0.2×	211 1.8×	41 0.6×	38 0.6×	37	507
Qian Yang	14 0.1×	26 0.2×	125 1.1×	40 0.6×	12 0.2×	63	472
Xinguang Wang	18 0.1×	69 0.6×	71 0.6×	46 0.7×	147 2.5×	63	599
Feng Qin	32 0.2×	39 0.3×	20 0.2×	27 0.4×	142 2.4×	60	452
Yi Chen	45 0.3×	21 0.2×	96 0.8×	89 1.3×	23 0.4×	39	503
Howard B. Sprague	21 0.2×	24 0.2×	42 0.4×	67 1.0×	47 0.8×	37	459
Oldřich Motyka	39 0.3×	6 0.0×	98 0.8×	20 0.3×	35 0.6×	62	521
Mandana Behbahani	23 0.2×	17 0.1×	41 0.4×	134 1.9×	172 2.9×	70	610

Countries citing papers authored by Seul Bi Lee

Since Specialization

Citations

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

Fields of papers citing papers by Seul Bi Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seul Bi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seul Bi Lee. A scholar is included among the top collaborators of Seul Bi 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 Seul Bi Lee. Seul Bi Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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