Qingbiao Li
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Aerospace Engineering top 10%
- Co-authors
- Amanda ProrokZhe LiuBinyu WangAlejandro RibeiroFernando GamaWeizhe LinJun LiangDaoai Wang
- Topics
- Reinforcement Learning in Robotics (4 papers)Multimodal Machine Learning Applications (4 papers)Advanced Graph Neural Networks (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringComputer Networks and Communications
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Qingbiao Li
22 papers receiving 813 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 388
- Artificial Intelligence 218
- Control and Systems Engineering 163
- Computer Networks and Communications 160
- Aerospace Engineering 158
Countries citing papers authored by Qingbiao Li
This map shows the geographic impact of Qingbiao 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 Qingbiao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingbiao Li more than expected).
Fields of papers citing papers by Qingbiao Li
This network shows the impact of papers produced by Qingbiao 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 Qingbiao Li. The network helps show where Qingbiao Li may publish in the future.
Co-authorship network of co-authors of Qingbiao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Qingbiao Li. A scholar is included among the top collaborators of Qingbiao 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 Qingbiao Li. Qingbiao 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 31 | |
| 13 | 21 | |
| 14 | 17 | |
| 15 | 109 | |
| 16 | 0 | |
| 17 | 232 | |
| 18 | 142 | |
| 19 | Deactivation kinetics of sulfur poisoning of nickel catalyst during ethylbenzene hydrogenation | 1 |
| 20 | 33 |
About Qingbiao Li
Qingbiao Li is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 839 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (388 citations), Control and Systems Engineering (163 citations) and Computer Networks and Communications (160 citations). Qingbiao Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Amanda Prorok, Zhe Liu, Binyu Wang, Alejandro Ribeiro, Fernando Gama, Weizhe Lin, Jun Liang, Daoai Wang, Cancan Liu and Wenbin Yang. Their work appears in journals such as Bioresource Technology, Food Chemistry and IEEE Transactions on Signal Processing.
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.