Fengjun Zhao
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
Papers in
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- Optical Imaging and Spectroscopy Techniques 20
- Radiomics and Machine Learning in Medical Imaging 14
- Medical Imaging Techniques and Applications 11
- Advanced MRI Techniques and Applications 6
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- Photoacoustic and Ultrasonic Imaging 15
- Co-authors
- Xiaowei He (26 shared papers)Yuqing Hou (6 shared papers)Xin Cao (29 shared papers)Jimin Liang (10 shared papers)Linyu Yang (5 shared papers)Yanrong Chen (4 shared papers)Huangjian Yi (18 shared papers)Dongmei Chen (7 shared papers)
- Journals
- Optics Express (4 papers)IEEE Access (3 papers)European Radiology (3 papers)Physics in Medicine and Biology (3 papers)Medical Physics (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Fengjun Zhao
58 papers receiving 613 citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 264
- Computer Vision and Pattern Recognition 130
- Electronic, Optical and Magnetic Materials 63
- Biophysics 19
- Biomedical Engineering 142
Countries citing papers authored by Fengjun Zhao
This map shows the geographic impact of Fengjun 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 Fengjun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengjun Zhao more than expected).
Fields of papers citing papers by Fengjun Zhao
This network shows the impact of papers produced by Fengjun 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 Fengjun Zhao. The network helps show where Fengjun Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengjun Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2013 | 55 | |
| 3 | 2021 | 45 | |
| 4 | 2020 | 31 | |
| 5 | 2014 | 31 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 27 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2018 | 15 | |
| 15 | 2015 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2016 | 9 |
About Fengjun Zhao
Fengjun Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 65 papers that have together received 634 indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (20 papers), Photoacoustic and Ultrasonic Imaging (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (11 papers), AI in cancer detection (8 papers), Medical Image Segmentation Techniques (8 papers), Advanced MRI Techniques and Applications (6 papers) and Advancements in Battery Materials (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (264 citations), Computer Vision and Pattern Recognition (130 citations), Electronic, Optical and Magnetic Materials (63 citations), Biophysics (19 citations) and Biomedical Engineering (142 citations). Fengjun Zhao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaowei He, Yuqing Hou, Xin Cao, Jimin Liang, Linyu Yang, Yanrong Chen, Huangjian Yi, Dongmei Chen, Peng Gong and Jun Liu. Their work appears in journals such as Optics Express, IEEE Access, European Radiology, 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.