Tiffany Chen
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- AI in cancer detection
- Machine Learning in Healthcare
Papers in
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- Artificial Intelligence in Healthcare and Education 4
-
- Assistive Technology in Communication and Mobility 3
- Co-authors
- Faisal MahmoodRichard J. ChenMing Y. LuDrew F. K. WilliamsonJana LipkováChengkuan ChenMuhammad ShabanMaha Shady
- Journals
- Nature Biomedical Engineering (4 papers)Journal of Pathology Informatics (4 papers)Nature Medicine (2 papers)Histopathology (2 papers)The Laryngoscope (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tiffany Chen
59 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Health Informatics 339
- Artificial Intelligence 1.1k
- Radiology, Nuclear Medicine and Imaging 801
- Biophysics 153
- Otorhinolaryngology 101
Countries citing papers authored by Tiffany Chen
This map shows the geographic impact of Tiffany Chen'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 Tiffany Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany Chen more than expected).
Fields of papers citing papers by Tiffany Chen
This network shows the impact of papers produced by Tiffany Chen. 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 Tiffany Chen. The network helps show where Tiffany Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tiffany Chen, 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 | 27 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 41 | |
| 5 | 2023 | 1 | |
| 6 | Algorithmic fairness in artificial intelligence for medicine and healthcare Hit paper breakdown → | 2023 | 253 |
| 7 | 2022 | 6 | |
| 8 | Artificial intelligence for multimodal data integration in oncology Hit paper breakdown → | 2022 | 333 |
| 9 | 2022 | 55 | |
| 10 | 2022 | 52 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 11 | |
| 13 | Synthetic data in machine learning for medicine and healthcare Hit paper breakdown → | 2021 | 414 |
| 14 | 2021 | 0 | |
| 15 | 2021 | 1 | |
| 16 | 2019 | 95 | |
| 17 | 2018 | 4 | |
| 18 | 2017 | 27 | |
| 19 | 2016 | 4 | |
| 20 | 2010 | 1 |
About Tiffany Chen
Tiffany Chen is a scholar working on Health Informatics, Occupational Therapy, Otorhinolaryngology, Oncology and Family Practice, having authored 63 papers that have together received 2.8k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), CAR-T cell therapy research (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Assistive Technology in Communication and Mobility (3 papers), Cancer Diagnosis and Treatment (3 papers), Head and Neck Cancer Studies (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Health Informatics (339 citations), Artificial Intelligence (1.1k citations), Radiology, Nuclear Medicine and Imaging (801 citations), Biophysics (153 citations) and Otorhinolaryngology (101 citations). Tiffany Chen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Faisal Mahmood, Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Jana Lipková, Chengkuan Chen, Muhammad Shaban, Maha Shady, Andrew D. Trister and Rahul G. Krishnan. Their work appears in journals such as Nature Biomedical Engineering, Journal of Pathology Informatics, Nature Medicine, Histopathology and The Laryngoscope.
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.