Shumei Miao
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Tao ShanShenqi JingYun LiuShan LüJianjun GuoXin ZhangXiaohong WuJing Deng
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Biomedical Text Mining and Ontologies (3 papers)AI in cancer detection (3 papers)
- Journals
- Journal of Medical Internet ResearchThe International Journal of Biochemistry & Cell BiologyBioMed Research International
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Shumei Miao
19 papers receiving 266 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 86
- Cardiology and Cardiovascular Medicine 66
- Artificial Intelligence 62
- Radiology, Nuclear Medicine and Imaging 48
- Endocrinology, Diabetes and Metabolism 41
Countries citing papers authored by Shumei Miao
This map shows the geographic impact of Shumei Miao'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 Shumei Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumei Miao more than expected).
Fields of papers citing papers by Shumei Miao
This network shows the impact of papers produced by Shumei Miao. 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 Shumei Miao. The network helps show where Shumei Miao may publish in the future.
Co-authorship network of co-authors of Shumei Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Shumei Miao. A scholar is included among the top collaborators of Shumei Miao 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 Shumei Miao. Shumei Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 34 | |
| 15 | 17 | |
| 16 | 42 | |
| 17 | 22 | |
| 18 | 30 | |
| 19 | 9 | |
| 20 | 4 |
About Shumei Miao
Shumei Miao is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 274 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Biomedical Text Mining and Ontologies (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (19 citations), Health Information Management (15 citations) and Cardiology and Cardiovascular Medicine (66 citations). Shumei Miao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Tao Shan, Shenqi Jing, Yun Liu, Shan Lü, Jianjun Guo, Xin Zhang, Xiaohong Wu, Jing Deng, Xinhua Ye and Li Wang. Their work appears in journals such as Journal of Medical Internet Research, The International Journal of Biochemistry & Cell Biology and BioMed Research International.
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.