Heather Chen
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Occupational and environmental lung diseases 3
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
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- AI in cancer detection 5
- Co-authors
- Lara R. Heij (1 shared paper)Dezheng Huo (1 shared paper)Robert L. Grossman (1 shared paper)Nicole A. Cipriani (1 shared paper)Alexander T. Pearson (2 shared papers)Rita Nanda (1 shared paper)James M. Dolezal (2 shared papers)Jakob Nikolas Kather (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)American Journal of Clinical Pathology (1 paper)Journal of Forensic Sciences (1 paper)Head & Neck Oncology (1 paper)Cancer Medicine (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Heather Chen
21 papers receiving 386 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 39
- Radiology, Nuclear Medicine and Imaging 104
- Artificial Intelligence 162
- Biophysics 25
- Radiation 29
Countries citing papers authored by Heather Chen
This map shows the geographic impact of Heather 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 Heather Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Chen more than expected).
Fields of papers citing papers by Heather Chen
This network shows the impact of papers produced by Heather 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 Heather Chen. The network helps show where Heather Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 163 | |
| 2 | 2020 | 64 | |
| 3 | 2023 | 36 | |
| 4 | 1993 | 28 | |
| 5 | 2023 | 28 | |
| 6 | 2024 | 15 | |
| 7 | 2017 | 11 | |
| 8 | 2001 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2006 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2021 | 3 | |
| 15 | 2006 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Heather Chen
Heather Chen is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Mechanics of Materials, Oncology and Surgery, having authored 27 papers that have together received 400 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Colorectal Cancer Screening and Detection (3 papers), Occupational and environmental lung diseases (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Synthesis and properties of polymers (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Semiconductor materials and devices (2 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Health Informatics (39 citations), Radiology, Nuclear Medicine and Imaging (104 citations), Artificial Intelligence (162 citations), Biophysics (25 citations) and Radiation (29 citations). Heather Chen has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Lara R. Heij, Dezheng Huo, Robert L. Grossman, Nicole A. Cipriani, Alexander T. Pearson, Rita Nanda, James M. Dolezal, Jakob Nikolas Kather, Sara Kochanny and Frederick M. Howard. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, American Journal of Clinical Pathology, Journal of Forensic Sciences, Head & Neck Oncology and Cancer Medicine.
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.