Jay Li
Impact in
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- Cardiac Imaging and Diagnostics
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
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- Neurological disorders and treatments
Papers in
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- Semiconductor Lasers and Optical Devices 3
- 3D IC and TSV technologies 3
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- Neurological disorders and treatments 5
- Co-authors
- Melissa Vass (1 shared paper)Xiangyang Tang (1 shared paper)Darin Okerlund (1 shared paper)Jiang Hsieh (2 shared papers)Samuel S. Pappas (4 shared papers)William T. Dauer (5 shared papers)Thomas Prindiville (2 shared papers)Mónica Macal (2 shared papers)
- Journals
- eLife (2 papers)Biology of Sex Differences (1 paper)Medical Physics (1 paper)PLoS ONE (1 paper)World Journal of Gastroenterology (1 paper)
- Partner nations
- United StatesTaiwanBrazil
In The Last Decade
Jay Li
21 papers receiving 608 citations
Peers
Comparison fields: 5 of 106
- Radiology, Nuclear Medicine and Imaging 169
- Neurology 72
- Cellular and Molecular Neuroscience 58
- Immunology 58
- Gastroenterology 12
Countries citing papers authored by Jay Li
This map shows the geographic impact of Jay Li'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 Jay Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Li more than expected).
Fields of papers citing papers by Jay Li
This network shows the impact of papers produced by Jay Li. 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 Jay Li. The network helps show where Jay Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Li, 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 | 2006 | 191 | |
| 2 | 2013 | 121 | |
| 3 | 2013 | 84 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 27 | |
| 6 | 2022 | 24 | |
| 7 | 2020 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2024 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2001 | 2 | |
| 18 | 2022 | 2 | |
| 19 | System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. | 2019 | 1 |
| 20 | 2024 | 1 |
About Jay Li
Jay Li is a scholar working on Electrical and Electronic Engineering, Neurology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 21 papers that have together received 624 indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Genetic Neurodegenerative Diseases (4 papers), Semiconductor Lasers and Optical Devices (3 papers), 3D IC and TSV technologies (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (169 citations), Neurology (72 citations), Cellular and Molecular Neuroscience (58 citations), Immunology (58 citations) and Gastroenterology (12 citations). Jay Li has collaborated with scholars based in United States, Taiwan and Brazil. Frequent co-authors include Melissa Vass, Xiangyang Tang, Darin Okerlund, Jiang Hsieh, Samuel S. Pappas, William T. Dauer, Thomas Prindiville, Mónica Macal, Irina Grishina and Sumathi Sankaran‐Walters. Their work appears in journals such as eLife, Biology of Sex Differences, Medical Physics, PLoS ONE and World Journal of Gastroenterology.
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.