Baochun He
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Image Segmentation Techniques 9
- Advanced Neural Network Applications 3
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- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Fucang Jia (18 shared papers)Chihua Fang (8 shared papers)Deqiang Xiao (5 shared papers)Qingmao Hu (3 shared papers)Wei Cai (2 shared papers)Nan Xiang (2 shared papers)Wenyu Zhang (2 shared papers)Cheng Huang (2 shared papers)
- Journals
- Medical Physics (2 papers)Journal of Applied Clinical Medical Physics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Computer Methods and Programs in Biomedicine (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Baochun He
23 papers receiving 346 citations
Peers
Comparison fields: 5 of 46
- Hepatology 80
- Radiology, Nuclear Medicine and Imaging 193
- Health Informatics 11
- Computer Vision and Pattern Recognition 128
- Oncology 77
Countries citing papers authored by Baochun He
This map shows the geographic impact of Baochun He'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 Baochun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baochun He more than expected).
Fields of papers citing papers by Baochun He
This network shows the impact of papers produced by Baochun He. 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 Baochun He. The network helps show where Baochun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Baochun He, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2018 | 47 | |
| 3 | 2018 | 31 | |
| 4 | 2020 | 25 | |
| 5 | 2016 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2017 | 23 | |
| 8 | 2021 | 20 | |
| 9 | Fully Automatic Multi-Organ Segmentation Based on Multi-Boost Learning and Statistical Shape Model Search. | 2015 | 17 |
| 10 | 2013 | 15 | |
| 11 | 2023 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2013 | 7 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 2 |
About Baochun He
Baochun He is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Hepatology and Surgery, having authored 24 papers that have together received 352 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Image Segmentation Techniques (9 papers), Medical Imaging and Analysis (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), AI in cancer detection (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Advanced Neural Network Applications (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Hepatology (80 citations), Radiology, Nuclear Medicine and Imaging (193 citations), Health Informatics (11 citations), Computer Vision and Pattern Recognition (128 citations) and Oncology (77 citations). Baochun He has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fucang Jia, Chihua Fang, Deqiang Xiao, Qingmao Hu, Wei Cai, Nan Xiang, Wenyu Zhang, Cheng Huang, Huoling Luo and Yingfang Fan. Their work appears in journals such as Medical Physics, Journal of Applied Clinical Medical Physics, IEEE Journal of Biomedical and Health Informatics, Computer Methods and Programs in Biomedicine and IEEE Access.
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.