Kevin Ho‐Shon
- Surgery
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Len HameySarvnaz KarimiSonit SinghOmar Rodriguez‐AcevedoKristen E. ElstnerNabeel IbrahimJohn ReadJohn Magnussen
- Topics
- Lymphatic System and Diseases (4 papers)Multimodal Machine Learning Applications (4 papers)Radiopharmaceutical Chemistry and Applications (3 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJournal of Controlled Release
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Kevin Ho‐Shon
24 papers receiving 314 citations
Peers
Comparison fields: 5 of 60
- Surgery 127
- Pulmonary and Respiratory Medicine 101
- Radiology, Nuclear Medicine and Imaging 80
- Computer Vision and Pattern Recognition 59
- Artificial Intelligence 56
Countries citing papers authored by Kevin Ho‐Shon
This map shows the geographic impact of Kevin Ho‐Shon'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 Kevin Ho‐Shon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Ho‐Shon more than expected).
Fields of papers citing papers by Kevin Ho‐Shon
This network shows the impact of papers produced by Kevin Ho‐Shon. 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 Kevin Ho‐Shon. The network helps show where Kevin Ho‐Shon may publish in the future.
Co-authorship network of co-authors of Kevin Ho‐Shon
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Ho‐Shon. A scholar is included among the top collaborators of Kevin Ho‐Shon 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 Kevin Ho‐Shon. Kevin Ho‐Shon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 34 | |
| 14 | Biomedical concept detection in medical images: MQ-CSIRO at 2019 ImageCLEFmed caption task | 4 |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 76 | |
| 18 | 18 | |
| 19 | 58 | |
| 20 | 15 |
About Kevin Ho‐Shon
Kevin Ho‐Shon is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 26 papers that have together received 324 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (4 papers), Multimodal Machine Learning Applications (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (80 citations) and Pulmonary and Respiratory Medicine (101 citations). Kevin Ho‐Shon has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Len Hamey, Sarvnaz Karimi, Sonit Singh, Omar Rodriguez‐Acevedo, Kristen E. Elstner, Nabeel Ibrahim, John Read, John Magnussen, Tahereh Hassanzadeh and Hiroo Suami. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Controlled Release.
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.