Chao Bi
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
Papers in
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- Electric Motor Design and Analysis 12
- Sensorless Control of Electric Motors 9
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- Advanced Measurement and Metrology Techniques 7
- Injection Molding Process and Properties 6
- Co-authors
- Ying Zheng (5 shared papers)Xian Wang (2 shared papers)Wenyu Lin (2 shared papers)Chaoqun Wang (2 shared papers)Hongchuan Jin (2 shared papers)Qiyin Zhou (2 shared papers)Qingwen Zhang (1 shared paper)Jiabei Sun (1 shared paper)
In The Last Decade
Chao Bi
82 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 158
- Molecular Medicine 160
- Pharmaceutical Science 190
- Cancer Research 263
- Biomaterials 179
- Rehabilitation 82
Countries citing papers authored by Chao Bi
This map shows the geographic impact of Chao Bi'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 Chao Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Bi more than expected).
Fields of papers citing papers by Chao Bi
This network shows the impact of papers produced by Chao Bi. 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 Chao Bi. The network helps show where Chao Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Bi, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SLC7A11/xCT in cancer: biological functions and therapeutic implications. | 2020 | 219 |
| 2 | 2013 | 216 | |
| 3 | Enhanced expression of transforming growth factor-beta type I and type II receptors in wound granulation tissue and hypertrophic scar. | 1998 | 135 |
| 4 | 2020 | 127 | |
| 5 | 2012 | 88 | |
| 6 | 2016 | 84 | |
| 7 | 2019 | 81 | |
| 8 | 2022 | 78 | |
| 9 | 2022 | 74 | |
| 10 | 2020 | 44 | |
| 11 | 2015 | 41 | |
| 12 | 2013 | 39 | |
| 13 | 2023 | 32 | |
| 14 | 2017 | 28 | |
| 15 | 2020 | 27 | |
| 16 | 2016 | 26 | |
| 17 | 2008 | 21 | |
| 18 | 2025 | 20 | |
| 19 | 2022 | 20 | |
| 20 | 2007 | 17 |
About Chao Bi
Chao Bi is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Molecular Biology, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (12 papers), Sensorless Control of Electric Motors (9 papers), Rheology and Fluid Dynamics Studies (8 papers), Advanced Measurement and Metrology Techniques (7 papers), Injection Molding Process and Properties (6 papers), Geophysics and Sensor Technology (6 papers), Optical measurement and interference techniques (5 papers) and Advanced Sensor Technologies Research (5 papers). The work is most often cited by research in Molecular Medicine (160 citations), Pharmaceutical Science (190 citations), Cancer Research (263 citations), Biomaterials (179 citations) and Rehabilitation (82 citations). Chao Bi has collaborated with scholars based in China, Singapore and Macao. Frequent co-authors include Ying Zheng, Xian Wang, Wenyu Lin, Chaoqun Wang, Hongchuan Jin, Qiyin Zhou, Qingwen Zhang, Jiabei Sun, Shaoping Sun and Guangping Liu. Their work appears in journals such as IEEE Access, IET Electric Power Applications, Applied Optics, Polymer Engineering and Science and IEEE Transactions on Magnetics.
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.