Zhifan Gao
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Heye ZhangShuo LiGuang YangChenchu XuWilliam Kongto HauVictor Hugo C. de AlbuquerqueHuahua XiongWanqing Wu
- Topics
- Cardiac Imaging and Diagnostics (23 papers)Coronary Interventions and Diagnostics (20 papers)Medical Image Segmentation Techniques (18 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionCardiology and Cardiovascular Medicine
- Journals
- PLoS ONEScientific ReportsRadiology
In The Last Decade
Zhifan Gao
101 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 130
- Radiology, Nuclear Medicine and Imaging 1.1k
- Computer Vision and Pattern Recognition 818
- Cardiology and Cardiovascular Medicine 645
- Biomedical Engineering 630
- Artificial Intelligence 414
Countries citing papers authored by Zhifan Gao
This map shows the geographic impact of Zhifan Gao'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 Zhifan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhifan Gao more than expected).
Fields of papers citing papers by Zhifan Gao
This network shows the impact of papers produced by Zhifan Gao. 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 Zhifan Gao. The network helps show where Zhifan Gao may publish in the future.
Co-authorship network of co-authors of Zhifan Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Zhifan Gao. A scholar is included among the top collaborators of Zhifan Gao 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 Zhifan Gao. Zhifan Gao 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 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 22 | |
| 17 | 4 | |
| 18 | 43 | |
| 19 | 23 | |
| 20 | Deep Learning intra-image and inter-images features for Co-saliency detection. | 16 |
About Zhifan Gao
Zhifan Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 111 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (23 papers), Coronary Interventions and Diagnostics (20 papers) and Medical Image Segmentation Techniques (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Computer Vision and Pattern Recognition (818 citations) and Cardiology and Cardiovascular Medicine (645 citations). Zhifan Gao has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Heye Zhang, Shuo Li, Guang Yang, Chenchu Xu, William Kongto Hau, Victor Hugo C. de Albuquerque, Huahua Xiong, Wanqing Wu, Lei Xu and Dhanjoo N. Ghista. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.
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.