Sen Bai
Impact in
- Radiation top 0.5%
- Advanced Radiotherapy Techniques
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Radiation 62
- Advanced Radiotherapy Techniques 60
-
- Chaos-based Image/Signal Encryption 21
- Advanced Steganography and Watermarking Techniques 18
- Co-authors
- Guangjun Li (37 shared papers)Xiaoqin Jiang (11 shared papers)Y K Zhang (13 shared papers)Junjie Hu (11 shared papers)Ying Song (14 shared papers)Di Xiao (8 shared papers)Renming Zhong (25 shared papers)Yongfeng Huang (2 shared papers)
- Journals
- Radiotherapy and Oncology (8 papers)Medical dosimetry (7 papers)Radiation Oncology (6 papers)Medical Physics (5 papers)Physica Medica (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sen Bai
120 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Radiation 697
- Radiology, Nuclear Medicine and Imaging 370
- Computer Vision and Pattern Recognition 375
- Otorhinolaryngology 46
- Pulmonary and Respiratory Medicine 303
Countries citing papers authored by Sen Bai
This map shows the geographic impact of Sen Bai'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 Sen Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Bai more than expected).
Fields of papers citing papers by Sen Bai
This network shows the impact of papers produced by Sen Bai. 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 Sen Bai. The network helps show where Sen Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Bai, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 116 | |
| 2 | 2012 | 94 | |
| 3 | 2005 | 80 | |
| 4 | 2006 | 77 | |
| 5 | 2008 | 74 | |
| 6 | 2020 | 66 | |
| 7 | 2020 | 55 | |
| 8 | 2016 | 52 | |
| 9 | 2016 | 51 | |
| 10 | 2014 | 45 | |
| 11 | 2008 | 43 | |
| 12 | 2008 | 34 | |
| 13 | 2014 | 32 | |
| 14 | 2021 | 31 | |
| 15 | 2013 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2021 | 26 | |
| 20 | 2011 | 25 |
About Sen Bai
Sen Bai is a scholar working on Radiation, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 132 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (60 papers), Chaos-based Image/Signal Encryption (21 papers), Advanced Steganography and Watermarking Techniques (18 papers), Medical Imaging Techniques and Applications (12 papers), Advanced X-ray and CT Imaging (9 papers), Sparse and Compressive Sensing Techniques (9 papers), Radiation Dose and Imaging (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Radiation (697 citations), Radiology, Nuclear Medicine and Imaging (370 citations), Computer Vision and Pattern Recognition (375 citations), Otorhinolaryngology (46 citations) and Pulmonary and Respiratory Medicine (303 citations). Sen Bai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guangjun Li, Xiaoqin Jiang, Y K Zhang, Junjie Hu, Ying Song, Di Xiao, Renming Zhong, Yongfeng Huang, Chenghao Liu and Shanyu Tang. Their work appears in journals such as Radiotherapy and Oncology, Medical dosimetry, Radiation Oncology, Medical Physics and Physica Medica.
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.