Mingzhe Hu
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Artificial Intelligence
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Xiaofeng YangYu ZhangYanbin LiZeyu ZhaoAnrong WangJiahan ZhangXiangyan ChenBin Liu
- Topics
- Radiomics and Machine Learning in Medical Imaging (7 papers)Software Engineering Research (5 papers)AI in cancer detection (5 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Mingzhe Hu
29 papers receiving 276 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 65
- Neurology 59
- Artificial Intelligence 48
- Molecular Biology 45
- Pulmonary and Respiratory Medicine 31
Countries citing papers authored by Mingzhe Hu
This map shows the geographic impact of Mingzhe Hu'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 Mingzhe Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingzhe Hu more than expected).
Fields of papers citing papers by Mingzhe Hu
This network shows the impact of papers produced by Mingzhe Hu. 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 Mingzhe Hu. The network helps show where Mingzhe Hu may publish in the future.
Co-authorship network of co-authors of Mingzhe Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhe Hu. A scholar is included among the top collaborators of Mingzhe Hu 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 Mingzhe Hu. Mingzhe Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 8 | |
| 17 | Deep learning approach for automated detection of retinal pathology from ultra-widefield retinal images | 5 |
| 18 | 26 | |
| 19 | 12 | |
| 20 | 14 |
About Mingzhe Hu
Mingzhe Hu is a scholar working on Software, Neurology and Internal Medicine, having authored 33 papers that have together received 283 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Software Engineering Research (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Health Informatics (10 citations) and Neurology (59 citations). Mingzhe Hu has collaborated with scholars based in China and United States. Frequent co-authors include Xiaofeng Yang, Yu Zhang, Yanbin Li, Zeyu Zhao, Anrong Wang, Jiahan Zhang, Xiangyan Chen, Bin Liu, Tian Liu and Yün Peng. Their work appears in journals such as Neuroscience, Physics in Medicine and Biology and Medical Physics.
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.