Shih-Ying Huang
- Health Informatics top 5%
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- Medical Imaging Techniques and Applications 5
- Radiopharmaceutical Chemistry and Applications 3
- MRI in cancer diagnosis 2
- Neurology top 10%
- Neuroblastoma Research and Treatments 3
- Psychiatry and Mental health top 10%
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- Plant and animal studies 3
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- Insect and Arachnid Ecology and Behavior 3
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- Advanced biosensing and bioanalysis techniques 2
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- Digital Radiography and Breast Imaging 2
- Co-authors
- Youngho SeoRandall A. HawkinsKaren K. LindforsJohn M. BooneMiguel Hernandez PampaloniSpencer C. BehrTimothy P. CopelandBenjamin L. Franc
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Shih-Ying Huang
14 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Health Informatics 48
- Radiology, Nuclear Medicine and Imaging 439
- Neurology 110
- Health Information Management 52
- Psychiatry and Mental health 105
Countries citing papers authored by Shih-Ying Huang
This map shows the geographic impact of Shih-Ying Huang'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 Shih-Ying Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Ying Huang more than expected).
Fields of papers citing papers by Shih-Ying Huang
This network shows the impact of papers produced by Shih-Ying Huang. 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 Shih-Ying Huang. The network helps show where Shih-Ying Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shih-Ying Huang, 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 | 2024 | 2 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 77 | |
| 7 | A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brainbreakdown → | 2018 | 379 |
| 8 | 2017 | 3 | |
| 9 | Internal dosimetry calculation of Cu-64 NOTA trastuzumab in human breast cancer xenograft mouse using Monte Carlo simulation. | 2016 | 1 |
| 10 | 2015 | 18 | |
| 11 | 2014 | 16 | |
| 12 | 2014 | 50 | |
| 13 | 2010 | 162 | |
| 14 | 2010 | 15 | |
| 15 | 1985 | 0 |
About Shih-Ying Huang
Shih-Ying Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthodontics and Neurology, having authored 15 papers that have together received 776 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Plant and animal studies (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Neuroblastoma Research and Treatments (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), MRI in cancer diagnosis (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Health Informatics (48 citations), Radiology, Nuclear Medicine and Imaging (439 citations) and Neurology (110 citations). Shih-Ying Huang has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Youngho Seo, Randall A. Hawkins, Karen K. Lindfors, John M. Boone, Miguel Hernandez Pampaloni, Spencer C. Behr, Timothy P. Copeland, Benjamin L. Franc, Roy Harnish and Laurel Beckett. Their work appears in journals such as Radiology, Analytica Chimica Acta and Medical Physics.
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.