Yunhui Liu
- Control and Systems Engineering top 0.2%
- Computer Vision and Pattern Recognition top 0.2%
- Biomedical Engineering top 0.5%
- Aerospace Engineering top 0.2%
- Mechanical Engineering top 1%
- Co-authors
- Hesheng WangDong SunDavid Navarro-AlarcónWeidong ChenZerui WangDongxiang ZhouSuguru ArimotoS. Arimoto
- Topics
- Robotics and Sensor-Based Localization (167 papers)Soft Robotics and Applications (142 papers)Advanced Vision and Imaging (131 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Yunhui Liu
561 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Control and Systems Engineering 3.5k
- Computer Vision and Pattern Recognition 3.4k
- Biomedical Engineering 2.8k
- Aerospace Engineering 2.0k
- Mechanical Engineering 1.5k
Countries citing papers authored by Yunhui Liu
This map shows the geographic impact of Yunhui Liu'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 Yunhui Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunhui Liu more than expected).
Fields of papers citing papers by Yunhui Liu
This network shows the impact of papers produced by Yunhui Liu. 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 Yunhui Liu. The network helps show where Yunhui Liu may publish in the future.
Co-authorship network of co-authors of Yunhui Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunhui Liu. A scholar is included among the top collaborators of Yunhui Liu 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 Yunhui Liu. Yunhui Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | Projecting future carbon emissions from cement production in developing countriesbreakdown → | 173 |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 34 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | 8 | |
| 18 | 49 | |
| 19 | 17 | |
| 20 | 1 |
About Yunhui Liu
Yunhui Liu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 593 papers that have together received 9.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (167 papers), Soft Robotics and Applications (142 papers) and Advanced Vision and Imaging (131 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Control and Systems Engineering (3.5k citations) and Aerospace Engineering (2.0k citations). Yunhui Liu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hesheng Wang, Dong Sun, David Navarro-Alarcón, Weidong Chen, Zerui Wang, Dongxiang Zhou, Suguru Arimoto, S. Arimoto, Xinwu Liang and Luyang Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.