Lingyun Bao
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Health Informatics top 5%
- Cancer Research
- Biomedical Engineering
- Co-authors
- Christoph F. DietrichGe-Ge WuLiqiang ZhouHua-Rong YeXinglong WuYoubin DengXin‐Wu CuiShuyan Huang
- Topics
- AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Ultrasound Imaging and Elastography (2 papers)
- Partner nations
- ChinaMacaoNetherlands
In The Last Decade
Lingyun Bao
5 papers receiving 280 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 220
- Artificial Intelligence 189
- Health Informatics 45
- Cancer Research 42
- Biomedical Engineering 37
Countries citing papers authored by Lingyun Bao
This map shows the geographic impact of Lingyun Bao'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 Lingyun Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyun Bao more than expected).
Fields of papers citing papers by Lingyun Bao
This network shows the impact of papers produced by Lingyun Bao. 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 Lingyun Bao. The network helps show where Lingyun Bao may publish in the future.
Co-authorship network of co-authors of Lingyun Bao
This figure shows the co-authorship network connecting the top 25 collaborators of Lingyun Bao. A scholar is included among the top collaborators of Lingyun Bao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lingyun Bao. Lingyun Bao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | 254 |
About Lingyun Bao
Lingyun Bao is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine, having authored 7 papers that have together received 285 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (220 citations) and Artificial Intelligence (189 citations). Lingyun Bao has collaborated with scholars based in China, Macao and Netherlands. Frequent co-authors include Christoph F. Dietrich, Ge-Ge Wu, Liqiang Zhou, Hua-Rong Ye, Xinglong Wu, Youbin Deng, Xin‐Wu Cui, Shuyan Huang, Xingrui Li and Qi Wei. Their work appears in journals such as Radiology, Medical Image Analysis and Computers in Biology 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.