Bao Chen
Impact in
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- Data Visualization and Analytics
- Image Retrieval and Classification Techniques
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
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- Advanced Image Processing Techniques 5
- Image Enhancement Techniques 3
- Image and Signal Denoising Methods 3
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- Distributed Control Multi-Agent Systems 4
- Neural Networks Stability and Synchronization 3
- Co-authors
- Chao Liu (3 shared papers)Oliver Deußen (4 shared papers)Yunhai Wang (4 shared papers)Shuyun Xu (3 shared papers)Ziling Li (2 shared papers)Jiannan Hu (2 shared papers)Qian Liu (1 shared paper)Sheng Chen (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)IEEE Access (2 papers)Neural Computing and Applications (2 papers)Applied Intelligence (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bao Chen
43 papers receiving 465 citations
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 112
- Cancer Research 55
- Pulmonary and Respiratory Medicine 79
- Soil Science 20
- Artificial Intelligence 58
Countries citing papers authored by Bao Chen
This map shows the geographic impact of Bao Chen'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 Bao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bao Chen more than expected).
Fields of papers citing papers by Bao Chen
This network shows the impact of papers produced by Bao Chen. 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 Bao Chen. The network helps show where Bao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bao Chen, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2023 | 42 | |
| 3 | 2018 | 37 | |
| 4 | 2022 | 36 | |
| 5 | 2017 | 35 | |
| 6 | 2016 | 21 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2020 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2019 | 6 | |
| 19 | Activation of AKT signaling via small molecule natural compound prevents against osteoblast apoptosis and osteonecrosis of the femoral head. | 2020 | 6 |
| 20 | 2017 | 6 |
About Bao Chen
Bao Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Surgery and Molecular Biology, having authored 47 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Adaptive Control of Nonlinear Systems (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Distributed Control Multi-Agent Systems (4 papers), Neural Networks Stability and Synchronization (3 papers), Image Enhancement Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (112 citations), Cancer Research (55 citations), Pulmonary and Respiratory Medicine (79 citations), Soil Science (20 citations) and Artificial Intelligence (58 citations). Bao Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chao Liu, Oliver Deußen, Yunhai Wang, Shuyun Xu, Ziling Li, Jiannan Hu, Qian Liu, Sheng Chen, Baoquan Chen and Michael Sedlmair. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Access, Neural Computing and Applications, Applied Intelligence and Applied Sciences.
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.