Fang‐I Lu
Impact in
- Health Informatics top 5%
- Oncology top 10%
- Colorectal Cancer Screening and Detection
Papers in
-
- Breast Cancer Treatment Studies 12
- Cancer Genomics and Diagnostics 4
-
- Radiomics and Machine Learning in Medical Imaging 5
- Ultrasound Imaging and Elastography 2
- Co-authors
- Elzbieta Slodkowska (14 shared papers)Sharon Nofech‐Mozes (12 shared papers)David Owen (1 shared paper)Dmitry Turbin (1 shared paper)Douglas Webber (1 shared paper)William T. Tran (11 shared papers)Ali Sadeghi‐Naini (8 shared papers)Wedad Hanna (7 shared papers)
- Journals
- Archives of Pathology & Laboratory Medicine (4 papers)Scientific Reports (3 papers)Breast Cancer Research and Treatment (3 papers)The American Journal of Surgical Pathology (2 papers)Journal of Ultrasound in Medicine (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Fang‐I Lu
39 papers receiving 811 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 22
- Oncology 250
- Pathology and Forensic Medicine 156
- Cancer Research 126
- Radiology, Nuclear Medicine and Imaging 182
Countries citing papers authored by Fang‐I Lu
This map shows the geographic impact of Fang‐I Lu'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 Fang‐I Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang‐I Lu more than expected).
Fields of papers citing papers by Fang‐I Lu
This network shows the impact of papers produced by Fang‐I Lu. 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 Fang‐I Lu. The network helps show where Fang‐I Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang‐I Lu, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 152 | |
| 2 | 2019 | 63 | |
| 3 | 2012 | 52 | |
| 4 | 2021 | 51 | |
| 5 | 2020 | 50 | |
| 6 | 2017 | 47 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 31 | |
| 9 | 2018 | 31 | |
| 10 | 2015 | 31 | |
| 11 | 2021 | 27 | |
| 12 | 2022 | 27 | |
| 13 | 2019 | 26 | |
| 14 | 2017 | 20 | |
| 15 | 2023 | 20 | |
| 16 | 2013 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 13 |
About Fang‐I Lu
Fang‐I Lu is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Oncology, Pathology and Forensic Medicine and Artificial Intelligence, having authored 41 papers that have together received 820 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (4 papers), Breast Lesions and Carcinomas (4 papers), HER2/EGFR in Cancer Research (3 papers), Ultrasound Imaging and Elastography (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Health Informatics (22 citations), Oncology (250 citations), Pathology and Forensic Medicine (156 citations), Cancer Research (126 citations) and Radiology, Nuclear Medicine and Imaging (182 citations). Fang‐I Lu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Elzbieta Slodkowska, Sharon Nofech‐Mozes, David Owen, Dmitry Turbin, Douglas Webber, William T. Tran, Ali Sadeghi‐Naini, Wedad Hanna, Sonal Gandhi and Andrew Lagree. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Scientific Reports, Breast Cancer Research and Treatment, The American Journal of Surgical Pathology and Journal of Ultrasound in 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.