Shi Bai
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Organic Chemistry
- Co-authors
- Brendan EnglotFanfei ChenJinkun WangTixiao ShanChangsheng YaoJie ZhuangChenxia YuKai Zhang
- Topics
- Robotics and Sensor-Based Localization (7 papers)Catalytic Cross-Coupling Reactions (5 papers)N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlThe Journal of Organic Chemistry
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Shi Bai
24 papers receiving 352 citations
Peers
Comparison fields: 5 of 66
- Aerospace Engineering 172
- Computer Vision and Pattern Recognition 152
- Artificial Intelligence 67
- Computer Networks and Communications 45
- Organic Chemistry 41
Countries citing papers authored by Shi Bai
This map shows the geographic impact of Shi 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 Shi Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Bai more than expected).
Fields of papers citing papers by Shi Bai
This network shows the impact of papers produced by Shi 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 Shi Bai. The network helps show where Shi Bai may publish in the future.
Co-authorship network of co-authors of Shi Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Shi Bai. A scholar is included among the top collaborators of Shi Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shi Bai. Shi Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 28 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 37 | |
| 12 | 38 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 89 | |
| 16 | 19 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | A strategic analysis of the school attendance for the mobile juvenile students in city | 1 |
| 20 | Content-Based Chinese Antique Books Retrieval Through Visual Similarity Criteria | 0 |
About Shi Bai
Shi Bai is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 27 papers that have together received 365 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Catalytic Cross-Coupling Reactions (5 papers) and N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (152 citations), Aerospace Engineering (172 citations) and Signal Processing (27 citations). Shi Bai has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Brendan Englot, Fanfei Chen, Jinkun Wang, Tixiao Shan, Changsheng Yao, Jie Zhuang, Chenxia Yu, Kai Zhang, Tuanjie Li and Lantao Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and The Journal of Organic Chemistry.
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.