Jason Causey
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Gene expression and cancer classification 2
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- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 2
- Co-authors
- Xiuzhen Huang (9 shared papers)Shiqian Ma (2 shared papers)Shuzhong Zhang (2 shared papers)Junyu Zhang (1 shared paper)Fred Prior (1 shared paper)David G. Politte (1 shared paper)Bo Jiang (1 shared paper)Yuanfang Guan (3 shared papers)
- Journals
- Scientific Reports (5 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Frontiers in Plant Science (1 paper)Journal of Translational Medicine (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jason Causey
11 papers receiving 261 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 147
- Health Informatics 6
- Pulmonary and Respiratory Medicine 115
- Artificial Intelligence 63
- Neurology 14
Countries citing papers authored by Jason Causey
This map shows the geographic impact of Jason Causey'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 Jason Causey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Causey more than expected).
Fields of papers citing papers by Jason Causey
This network shows the impact of papers produced by Jason Causey. 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 Jason Causey. The network helps show where Jason Causey may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Causey, 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 | 2018 | 148 | |
| 2 | 2020 | 28 | |
| 3 | 2022 | 24 | |
| 4 | 2021 | 23 | |
| 5 | 2018 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2016 | 9 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2009 | 1 | |
| 12 | Completing College 2020: A National View of Student Completion Rates for 2014 Entering Cohort. (Signature Report No. 19). | 2020 | 1 |
| 13 | Current Term Enrollment Estimates: Spring 2020. A COVID-19 Supplement: With New Data Submitted in April and May 2020. | 2020 | 0 |
About Jason Causey
Jason Causey is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Ecology, having authored 13 papers that have together received 265 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Remote Sensing in Agriculture (2 papers), Gene expression and cancer classification (2 papers), COVID-19 diagnosis using AI (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Genomics and Rare Diseases (1 paper) and Nasal Surgery and Airway Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (147 citations), Health Informatics (6 citations), Pulmonary and Respiratory Medicine (115 citations), Artificial Intelligence (63 citations) and Neurology (14 citations). Jason Causey has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xiuzhen Huang, Shiqian Ma, Shuzhong Zhang, Junyu Zhang, Fred Prior, David G. Politte, Bo Jiang, Yuanfang Guan, Jason H. Moore and Wei Dong. Their work appears in journals such as Scientific Reports, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Frontiers in Plant Science, Journal of Translational Medicine and DOAJ (DOAJ: Directory of Open Access Journals).
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.