Bao Li
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Geology top 10%
- Environmental Engineering
- Co-authors
- Jianchao ZengZhi‐Quan ChengRuwen SchnabelReinhard KleinShiyao JinWen YuLang WangKunpeng Wang
- Topics
- Cryptography and Data Security (19 papers)Coding theory and cryptography (9 papers)Privacy-Preserving Technologies in Data (7 papers)
- Journals
- PLANT PHYSIOLOGYIEEE AccessSensors
- Partner nations
- ChinaUnited StatesUkraine
In The Last Decade
Bao Li
34 papers receiving 292 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 112
- Computer Vision and Pattern Recognition 101
- Computational Mechanics 61
- Geology 49
- Environmental Engineering 40
Countries citing papers authored by Bao Li
This map shows the geographic impact of Bao Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bao Li more than expected).
Fields of papers citing papers by Bao Li
This network shows the impact of papers produced by Bao Li. 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 Li. The network helps show where Bao Li may publish in the future.
Co-authorship network of co-authors of Bao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Bao Li. A scholar is included among the top collaborators of Bao Li 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 Bao Li. Bao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | Function and Signaling of Plant Hormone ABA under Water Stress | 3 |
| 12 | 4 | |
| 13 | Generic construction of deniable group key establishment from group key establishment | 1 |
| 14 | 99 | |
| 15 | Existence and Stability of Periodic Solutions in Delayed Cellular Neural Networks with Impulses | 1 |
| 16 | 73 | |
| 17 | 2 | |
| 18 | A protocol of specific secure two-party computation | 2 |
| 19 | 4 | |
| 20 | 1 |
About Bao Li
Bao Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 310 indexed citations. Recurring topics across this work include Cryptography and Data Security (19 papers), Coding theory and cryptography (9 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Geology (49 citations), Computer Graphics and Computer-Aided Design (28 citations) and Computer Vision and Pattern Recognition (101 citations). Bao Li has collaborated with scholars based in China, United States and Ukraine. Frequent co-authors include Jianchao Zeng, Zhi‐Quan Cheng, Ruwen Schnabel, Reinhard Klein, Shiyao Jin, Wen Yu, Lang Wang, Kunpeng Wang, Kefei Chen and Hongda Li. Their work appears in journals such as PLANT PHYSIOLOGY, IEEE Access and Sensors.
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.