Jie Bai
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Genetics 16
- Glioma Diagnosis and Treatment 16
-
- Radiomics and Machine Learning in Medical Imaging 10
- MRI in cancer diagnosis 3
- Co-authors
- Yong Zhang (9 shared papers)Yan Zhang (2 shared papers)Jingliang Cheng (14 shared papers)Jiejie Liu (1 shared paper)Meixia Chen (1 shared paper)Qingming Yang (1 shared paper)Weidong Han (1 shared paper)Jing Nie (1 shared paper)
- Journals
- Frontiers in Oncology (4 papers)Journal of Magnetic Resonance Imaging (2 papers)European Radiology (2 papers)European Journal of Radiology (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jie Bai
51 papers receiving 627 citations
Peers
Comparison fields: 5 of 100
- Genetics 96
- Oncology 130
- Pathology and Forensic Medicine 84
- Radiology, Nuclear Medicine and Imaging 86
- Ophthalmology 25
Countries citing papers authored by Jie Bai
This map shows the geographic impact of Jie 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 Jie Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Bai more than expected).
Fields of papers citing papers by Jie Bai
This network shows the impact of papers produced by Jie 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 Jie Bai. The network helps show where Jie Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2021 | 55 | |
| 3 | 2018 | 36 | |
| 4 | 2020 | 28 | |
| 5 | 2017 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2009 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2012 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2018 | 13 | |
| 14 | 2003 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 11 | |
| 17 | [Category, quantity and clinical significance of autoantibodies on bone marrow hematopoietic cells in patients with immunorelated cytopenia]. | 2003 | 9 |
| 18 | 2021 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2019 | 8 |
About Jie Bai
Jie Bai is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Neurology, Surgery and Biomedical Engineering, having authored 51 papers that have together received 632 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (4 papers), MRI in cancer diagnosis (3 papers), Advanced X-ray and CT Imaging (3 papers), Noise Effects and Management (2 papers) and Teratomas and Epidermoid Cysts (2 papers). The work is most often cited by research in Genetics (96 citations), Oncology (130 citations), Pathology and Forensic Medicine (84 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Ophthalmology (25 citations). Jie Bai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yong Zhang, Yan Zhang, Jingliang Cheng, Jiejie Liu, Meixia Chen, Qingming Yang, Weidong Han, Jing Nie, Yang Liu and Chunmeng Wang. Their work appears in journals such as Frontiers in Oncology, Journal of Magnetic Resonance Imaging, European Radiology, European Journal of Radiology 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.