Jerome Cheng
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 12
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- Celiac Disease Research and Management 3
- Co-authors
- Ulysses J. Balis (20 shared papers)Liron Pantanowitz (7 shared papers)David S. McClintock (4 shared papers)Jason Hipp (15 shared papers)Maria A. Westerhoff (14 shared papers)Mehmet Toner (4 shared papers)Ronald G. Tompkins (4 shared papers)Jaime Rodriguez‐Canales (7 shared papers)
- Journals
- Journal of Pathology Informatics (11 papers)Modern Pathology (4 papers)Analytical Cellular Pathology (3 papers)The American Journal of Surgical Pathology (3 papers)Histopathology (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Jerome Cheng
49 papers receiving 826 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 88
- Biophysics 86
- Artificial Intelligence 328
- Radiology, Nuclear Medicine and Imaging 189
- Gastroenterology 34
Countries citing papers authored by Jerome Cheng
This map shows the geographic impact of Jerome Cheng'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 Jerome Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerome Cheng more than expected).
Fields of papers citing papers by Jerome Cheng
This network shows the impact of papers produced by Jerome Cheng. 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 Jerome Cheng. The network helps show where Jerome Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerome Cheng, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2021 | 85 | |
| 3 | 2023 | 83 | |
| 4 | 2011 | 62 | |
| 5 | 2021 | 44 | |
| 6 | 2011 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2011 | 25 | |
| 9 | 2024 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2022 | 20 | |
| 12 | 2023 | 18 | |
| 13 | 1990 | 18 | |
| 14 | 2012 | 17 | |
| 15 | 2002 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 1988 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2012 | 13 | |
| 20 | 2023 | 13 |
About Jerome Cheng
Jerome Cheng is a scholar working on Artificial Intelligence, Gastroenterology, Biophysics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 52 papers that have together received 842 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cell Image Analysis Techniques (4 papers), Colorectal Cancer Screening and Detection (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Molecular Biology Techniques and Applications (3 papers), Celiac Disease Research and Management (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Health Informatics (88 citations), Biophysics (86 citations), Artificial Intelligence (328 citations), Radiology, Nuclear Medicine and Imaging (189 citations) and Gastroenterology (34 citations). Jerome Cheng has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Ulysses J. Balis, Liron Pantanowitz, David S. McClintock, Jason Hipp, Maria A. Westerhoff, Mehmet Toner, Ronald G. Tompkins, Jaime Rodriguez‐Canales, Anil Vasdev Parwani and Zaibo Li. Their work appears in journals such as Journal of Pathology Informatics, Modern Pathology, Analytical Cellular Pathology, The American Journal of Surgical Pathology and Histopathology.
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.