Gangming Zhao
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Co-authors
- Yizhou YuWeifeng GeJinpeng LiJingdong WangZhaoxiang ZhangYizhou WangHuiguang HeMing Zhang
- Topics
- COVID-19 diagnosis using AI (8 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Advanced Neural Network Applications (6 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingPattern Recognition
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Gangming Zhao
21 papers receiving 501 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 205
- Radiology, Nuclear Medicine and Imaging 172
- Artificial Intelligence 167
- Pulmonary and Respiratory Medicine 60
- Surgery 57
Countries citing papers authored by Gangming Zhao
This map shows the geographic impact of Gangming Zhao'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 Gangming Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gangming Zhao more than expected).
Fields of papers citing papers by Gangming Zhao
This network shows the impact of papers produced by Gangming Zhao. 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 Gangming Zhao. The network helps show where Gangming Zhao may publish in the future.
Co-authorship network of co-authors of Gangming Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Gangming Zhao. A scholar is included among the top collaborators of Gangming Zhao 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 Gangming Zhao. Gangming Zhao 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 33 | |
| 8 | 32 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 78 | |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 64 | |
| 16 | 2 | |
| 17 | 23 | |
| 18 | Training Better CNNs Requires to Rethink ReLU. | 5 |
| 19 | 48 | |
| 20 | [Magnetic resonance imaging with multiplane histomorphometry in avascular necrosis of femoral head: analysis of trabeculae]. | 2 |
About Gangming Zhao
Gangming Zhao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine, having authored 27 papers that have together received 505 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Health Informatics (21 citations), Computer Vision and Pattern Recognition (205 citations) and Radiology, Nuclear Medicine and Imaging (172 citations). Gangming Zhao has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yizhou Yu, Weifeng Ge, Jinpeng Li, Jingdong Wang, Zhaoxiang Zhang, Yizhou Wang, Huiguang He, Ming Zhang, Ting Cai and Jingyu Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Pattern Recognition.
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.