Jerry Wei
Impact in
Papers in
- Genetics 8
- Digestive system and related health 3
- Genetic and phenotypic traits in livestock 2
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- AI in cancer detection 4
- Natural Language Processing Techniques 2
- Co-authors
- Saeed Hassanpour (5 shared papers)Bing Ren (4 shared papers)Jason Wei (5 shared papers)Arief A. Suriawinata (4 shared papers)Peter Williamson (7 shared papers)Matthew S. Robbins (1 shared paper)Christopher R. Jackson (1 shared paper)Lorenzo Torresani (3 shared papers)
- Journals
- Physiological Genomics (3 papers)Mammalian Genome (1 paper)Journal of Reproductive Immunology (1 paper)Headache The Journal of Head and Face Pain (1 paper)Psychiatric Genetics (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jerry Wei
20 papers receiving 313 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 8
- Gastroenterology 19
- Artificial Intelligence 120
- Radiology, Nuclear Medicine and Imaging 66
- Genetics 63
Countries citing papers authored by Jerry Wei
This map shows the geographic impact of Jerry Wei'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 Jerry Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Wei more than expected).
Fields of papers citing papers by Jerry Wei
This network shows the impact of papers produced by Jerry Wei. 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 Jerry Wei. The network helps show where Jerry Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerry Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 53 | |
| 2 | 2021 | 43 | |
| 3 | 2021 | 39 | |
| 4 | 2010 | 36 | |
| 5 | 2024 | 29 | |
| 6 | 2018 | 19 | |
| 7 | 2015 | 19 | |
| 8 | 2023 | 14 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 1999 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 1 |
About Jerry Wei
Jerry Wei is a scholar working on Genetics, Artificial Intelligence, Molecular Biology, Oncology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 328 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Digestive system and related health (3 papers), Digital Imaging for Blood Diseases (2 papers), Natural Language Processing Techniques (2 papers), Genetic and phenotypic traits in livestock (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Health Informatics (8 citations), Gastroenterology (19 citations), Artificial Intelligence (120 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Genetics (63 citations). Jerry Wei has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Saeed Hassanpour, Bing Ren, Jason Wei, Arief A. Suriawinata, Peter Williamson, Matthew S. Robbins, Christopher R. Jackson, Lorenzo Torresani, Michael Baker and Louis Vaickus. Their work appears in journals such as Physiological Genomics, Mammalian Genome, Journal of Reproductive Immunology, Headache The Journal of Head and Face Pain and Psychiatric Genetics.
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.