Simon Han
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Lung Cancer Diagnosis and Treatment 3
-
- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 2
- Co-authors
- Alex Bui (7 shared papers)Denise R. Aberle (4 shared papers)William Hsu (9 shared papers)Shiwen Shen (4 shared papers)Xuan Liu (1 shared paper)M A Baluda (1 shared paper)No-Hee Park (1 shared paper)Joseph J. DiStefano (1 shared paper)
- Journals
- Journal of Vascular and Interventional Radiology (2 papers)Journal of the American Medical Informatics Association (1 paper)Expert Systems with Applications (1 paper)Artificial Intelligence in Medicine (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Simon Han
18 papers receiving 375 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 161
- Pulmonary and Respiratory Medicine 150
- Health Information Management 19
- Otorhinolaryngology 14
Countries citing papers authored by Simon Han
This map shows the geographic impact of Simon 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 Simon Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Han more than expected).
Fields of papers citing papers by Simon Han
This network shows the impact of papers produced by Simon 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 Simon Han. The network helps show where Simon Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Han, 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 | 2019 | 206 | |
| 2 | 2016 | 41 | |
| 3 | 1997 | 41 | |
| 4 | 2016 | 16 | |
| 5 | 2015 | 14 | |
| 6 | 2015 | 13 | |
| 7 | 2016 | 12 | |
| 8 | 2016 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2006 | 5 | |
| 11 | 2019 | 4 | |
| 12 | Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis | 2019 | 3 |
| 13 | 2007 | 3 | |
| 14 | 2008 | 2 | |
| 15 | A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. | 2015 | 1 |
| 16 | Secure Time Synchronization Service for Sensor Networks | 2005 | 1 |
| 17 | 2024 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 |
About Simon Han
Simon Han is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Computer Networks and Communications and Molecular Biology, having authored 19 papers that have together received 383 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), COVID-19 diagnosis using AI (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), AI in cancer detection (2 papers), Network Time Synchronization Technologies (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Pulmonary and Respiratory Medicine (150 citations), Health Information Management (19 citations) and Otorhinolaryngology (14 citations). Simon Han has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Alex Bui, Denise R. Aberle, William Hsu, Shiwen Shen, Xuan Liu, M A Baluda, No-Hee Park, Joseph J. DiStefano, Marisa C. Eisenberg and P. Reed Larsen. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Journal of the American Medical Informatics Association, Expert Systems with Applications, Artificial Intelligence in Medicine and Oncogene.
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.