Sunwoo Han

483 citations
15 papers · 286 · h-index 7

Impact in

Papers in

Sunwoo Han

14 papers receiving 279 citations

Peers

Sunwoo Han
Comparison fields: 5 of 132
  • Health, Toxicology and Mutagenesis 26
  • Endocrinology, Diabetes and Metabolism 31
  • Psychiatry and Mental health 27
  • Environmental Engineering 22
  • Health Information Management 7
Replace Liangliang Zhang with:
Liangliang Zhang United States
Feiyan Liu China
Quancai Wang China
Robert J. Foxall United Kingdom
Ulrike Genschel United States
Norou Diawara United States
J. Kenneth Tay United States
Florence George United States
Sunwoo Han relative to Liangliang Zhang United States Liangliang Zhang's profile →
Citations per field
00.5×5.2×
Liangliang Zhang · 1×
Citations per year

Countries citing papers authored by Sunwoo Han

Since Specialization
Citations

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

Fields of papers citing papers by Sunwoo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202173
2 202055
3 200245
4 201935
5 202134
6 202322
7 20237
8 20245
9 20244
10 20242
11 20251
12 20231
13 20241
14 20241
15 20240

About Sunwoo Han

Sunwoo Han is a scholar working on Artificial Intelligence, Surgery, Urology, Pulmonary and Respiratory Medicine and Information Systems, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (4 papers), Face and Expression Recognition (2 papers), Hormonal and reproductive studies (2 papers), Urinary Bladder and Prostate Research (2 papers), Imbalanced Data Classification Techniques (2 papers), Sexual function and dysfunction studies (2 papers), Data Mining Algorithms and Applications (2 papers) and Genital Health and Disease (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (26 citations), Endocrinology, Diabetes and Metabolism (31 citations), Psychiatry and Mental health (27 citations), Environmental Engineering (22 citations) and Health Information Management (7 citations). Sunwoo Han has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Hyunjoong Kim, Youyi Fong, Brian D. Williamson, Yung-Seop Lee, Taewan Kim, Jung‐Ho Shin, Isildinha M. Reis, Ranjith Ramasamy, Emad Ibrahim and Russell Saltzman. Their work appears in journals such as Applied Sciences, The Journal of Urology, BMC Medical Informatics and Decision Making, Toxicological Sciences and The World Journal of Men s Health.

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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