Jun Zhao
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Co-authors
- Yang LuGe WangJingchen MaYacheng RenJunfeng XiongLin LüYanzhi DuZi‐Jiang Chen
- Topics
- Medical Imaging Techniques and Applications (51 papers)Radiomics and Machine Learning in Medical Imaging (39 papers)Advanced X-ray and CT Imaging (33 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Zhao
194 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 156
- Radiology, Nuclear Medicine and Imaging 1.0k
- Biomedical Engineering 509
- Pulmonary and Respiratory Medicine 443
- Artificial Intelligence 277
- Molecular Biology 233
Countries citing papers authored by Jun Zhao
This map shows the geographic impact of Jun 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 Jun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhao more than expected).
Fields of papers citing papers by Jun Zhao
This network shows the impact of papers produced by Jun 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 Jun Zhao. The network helps show where Jun Zhao may publish in the future.
Co-authorship network of co-authors of Jun Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhao. A scholar is included among the top collaborators of Jun 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 Jun Zhao. Jun 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 21 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 46 | |
| 16 | 34 | |
| 17 | 6 | |
| 18 | Machine Learning Scan and Application in SUSY | 1 |
| 19 | Novel Method of Moving Object Detection Based on Three Frame Differencing and Connectivity Checking | 1 |
| 20 | Emotional expression classification by genetic programming | 1 |
About Jun Zhao
Jun Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Structural Biology and Radiation, having authored 212 papers that have together received 2.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (51 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Advanced X-ray and CT Imaging (33 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Structural Biology (31 citations) and Radiation (147 citations). Jun Zhao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yang Lu, Ge Wang, Jingchen Ma, Yacheng Ren, Junfeng Xiong, Lin Lü, Yanzhi Du, Zi‐Jiang Chen, Xiaolong Fu and Jianqi Sun. Their work appears in journals such as Journal of Clinical Oncology, Applied Physics Letters and Scientific Reports.
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.