Biyuan Wang
Impact in
-
- Pancreatic and Hepatic Oncology Research
- Cancer Diagnosis and Treatment
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- Genetic factors in colorectal cancer
Papers in
- Oncology 5
- Pancreatic and Hepatic Oncology Research 2
-
- AI in cancer detection 2
- Co-authors
- Shuting Li (4 shared papers)Jiao Yang (4 shared papers)Meng Lv (4 shared papers)Zheling Chen (4 shared papers)Chia-Yuan Yu (2 shared papers)Christopher T. Emrich (1 shared paper)Ayoung Woo (1 shared paper)Yanwei Shen (2 shared papers)
- Journals
- PLoS ONE (2 papers)BMC Cancer (1 paper)Frontiers in Oncology (1 paper)Journal of Physical Activity and Health (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Biyuan Wang
16 papers receiving 307 citations
Peers
Comparison fields: 5 of 82
- Oncology 82
- Pathology and Forensic Medicine 39
- Epidemiology 67
- Transportation 14
- Cancer Research 23
Countries citing papers authored by Biyuan Wang
This map shows the geographic impact of Biyuan Wang'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 Biyuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biyuan Wang more than expected).
Fields of papers citing papers by Biyuan Wang
This network shows the impact of papers produced by Biyuan Wang. 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 Biyuan Wang. The network helps show where Biyuan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Biyuan Wang, 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 | 2017 | 80 | |
| 2 | 2019 | 34 | |
| 3 | 2020 | 33 | |
| 4 | 2021 | 27 | |
| 5 | 2017 | 24 | |
| 6 | 2014 | 21 | |
| 7 | 2016 | 21 | |
| 8 | 2014 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2020 | 8 | |
| 12 | Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets. | 2019 | 7 |
| 13 | 2017 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 0 |
About Biyuan Wang
Biyuan Wang is a scholar working on Oncology, Artificial Intelligence, Pathology and Forensic Medicine, Civil and Structural Engineering and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Structural Response to Dynamic Loads (2 papers), Structural Behavior of Reinforced Concrete (2 papers), Energy Load and Power Forecasting (2 papers), Urban Transport and Accessibility (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Genetic factors in colorectal cancer (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Oncology (82 citations), Pathology and Forensic Medicine (39 citations), Epidemiology (67 citations), Transportation (14 citations) and Cancer Research (23 citations). Biyuan Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shuting Li, Jiao Yang, Meng Lv, Zheling Chen, Chia-Yuan Yu, Christopher T. Emrich, Ayoung Woo, Yanwei Shen, Xiao Zhang and Yang Jin. Their work appears in journals such as PLoS ONE, BMC Cancer, Frontiers in Oncology, Journal of Physical Activity and Health and 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.