Han-Bin Lee
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Acute Ischemic Stroke Management 2
- Herpesvirus Infections and Treatments 1
- Co-authors
- Ji Sung Lee (2 shared papers)Sun U. Kwon (2 shared papers)Dong‐Wha Kang (2 shared papers)Sungwon Ham (1 shared paper)Hyunna Lee (1 shared paper)Jong S. Kim (1 shared paper)Eun‐Jae Lee (1 shared paper)Namkug Kim (1 shared paper)
- Journals
- Thrombosis Research (2 papers)PLoS ONE (2 papers)Stroke (2 papers)Journal of Patient Safety (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Han-Bin Lee
11 papers receiving 262 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 13
- Health Information Management 20
- Neurology 35
- Otorhinolaryngology 15
- Epidemiology 98
Countries citing papers authored by Han-Bin Lee
This map shows the geographic impact of Han-Bin 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 Han-Bin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han-Bin Lee more than expected).
Fields of papers citing papers by Han-Bin Lee
This network shows the impact of papers produced by Han-Bin 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 Han-Bin Lee. The network helps show where Han-Bin Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Han-Bin Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2015 | 28 | |
| 3 | 2012 | 27 | |
| 4 | 2013 | 19 | |
| 5 | 2016 | 16 | |
| 6 | 2019 | 12 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 5 | |
| 10 | 2014 | 3 | |
| 11 | 2016 | 1 | |
| 12 | Clinical Usefulness of Modified Bondy Operation for Management of Cholesteatomas | 2011 | 0 |
| 13 | 2026 | 0 |
About Han-Bin Lee
Han-Bin Lee is a scholar working on Epidemiology, Otorhinolaryngology, Critical Care and Intensive Care Medicine, Dermatology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 266 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (2 papers), Folate and B Vitamins Research (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Stroke Rehabilitation and Recovery (1 paper), Acne and Rosacea Treatments and Effects (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Health Informatics (13 citations), Health Information Management (20 citations), Neurology (35 citations), Otorhinolaryngology (15 citations) and Epidemiology (98 citations). Han-Bin Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ji Sung Lee, Sun U. Kwon, Dong‐Wha Kang, Sungwon Ham, Hyunna Lee, Jong S. Kim, Eun‐Jae Lee, Namkug Kim, Ok Joon Kim and Seung‐Hun Oh. Their work appears in journals such as Thrombosis Research, PLoS ONE, Stroke, Journal of Patient Safety and Frontiers in Neurology.
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.