Simon Han
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Alex BuiDenise R. AberleWilliam HsuShiwen ShenNo-Hee ParkXuan LiuM A BaludaMarisa C. Eisenberg
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Lung Cancer Diagnosis and Treatment (3 papers)Global Cancer Incidence and Screening (2 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Simon Han
16 papers receiving 345 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 170
- Pulmonary and Respiratory Medicine 146
- Artificial Intelligence 115
- Molecular Biology 39
- Epidemiology 37
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-authorship network of co-authors of Simon Han
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Han. A scholar is included among the top collaborators of Simon Han 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 Simon Han. Simon Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis | 3 |
| 8 | 184 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 41 | |
| 13 | 14 | |
| 14 | A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. | 1 |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 41 |
About Simon Han
Simon Han is a scholar working on Transplantation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 351 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (170 citations) and Pulmonary and Respiratory Medicine (146 citations). Simon Han has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Alex Bui, Denise R. Aberle, William Hsu, Shiwen Shen, No-Hee Park, Xuan Liu, M A Baluda, Marisa C. Eisenberg, Joseph J. DiStefano and P. Reed Larsen. Their work appears in journals such as Oncogene, Expert Systems with Applications and Frontiers in Plant Science.
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.