Siteng Chen
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Renal cell carcinoma treatment 9
- Ferroptosis and cancer prognosis 4
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- AI in cancer detection 10
- Co-authors
- Xiang Wang (26 shared papers)Ning Zhang (22 shared papers)Jialiang Shao (12 shared papers)Tao Wang (14 shared papers)Encheng Zhang (13 shared papers)Junhua Zheng (10 shared papers)Liren Jiang (13 shared papers)Feng Gao (6 shared papers)
- Journals
- Journal of Cancer (4 papers)BMC Cancer (2 papers)Precision Clinical Medicine (2 papers)Frontiers in Oncology (2 papers)British Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Siteng Chen
43 papers receiving 549 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 95
- Cancer Research 52
- Oncology 66
- Artificial Intelligence 99
Countries citing papers authored by Siteng Chen
This map shows the geographic impact of Siteng 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 Siteng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siteng Chen more than expected).
Fields of papers citing papers by Siteng Chen
This network shows the impact of papers produced by Siteng 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 Siteng Chen. The network helps show where Siteng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Siteng 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2021 | 61 | |
| 3 | 2021 | 52 | |
| 4 | 2020 | 40 | |
| 5 | 2018 | 29 | |
| 6 | 2020 | 21 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2024 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 9 |
About Siteng Chen
Siteng Chen is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cancer Research and Oncology, having authored 44 papers that have together received 556 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Renal cell carcinoma treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Cancer Research (52 citations), Oncology (66 citations) and Artificial Intelligence (99 citations). Siteng Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiang Wang, Ning Zhang, Jialiang Shao, Tao Wang, Encheng Zhang, Junhua Zheng, Liren Jiang, Feng Gao, Xinyi Zheng and Ao Li. Their work appears in journals such as Journal of Cancer, BMC Cancer, Precision Clinical Medicine, Frontiers in Oncology and British Journal of Cancer.
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.