Hao Shao
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Steven L. WaslanderLetian WangZhuang XuYan WangXueshan GaoHongsheng LiYuxuan HuGuanglu Song
- Topics
- Advanced Neural Network Applications (2 papers)Gyrotron and Vacuum Electronics Research (2 papers)Video Surveillance and Tracking Methods (2 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
In The Last Decade
Hao Shao
14 papers receiving 283 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Biomedical Engineering 86
- Computer Vision and Pattern Recognition 81
- Automotive Engineering 73
- Control and Systems Engineering 73
- Artificial Intelligence 46
Countries citing papers authored by Hao Shao
This map shows the geographic impact of Hao Shao'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 Hao Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Shao more than expected).
Fields of papers citing papers by Hao Shao
This network shows the impact of papers produced by Hao Shao. 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 Hao Shao. The network helps show where Hao Shao may publish in the future.
Co-authorship network of co-authors of Hao Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Shao. A scholar is included among the top collaborators of Hao Shao 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 Hao Shao. Hao Shao 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 | 0 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | LMDrive: Closed-Loop End-to-End Driving with Large Language Modelsbreakdown → | 50 |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 54 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | Numerical simulation on fire prevention by infusing carbon dioxide into goaf | 9 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 98 |
About Hao Shao
Hao Shao is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 16 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (2 papers), Gyrotron and Vacuum Electronics Research (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Automotive Engineering (73 citations), Computer Vision and Pattern Recognition (81 citations) and Control and Systems Engineering (73 citations). Hao Shao has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Steven L. Waslander, Letian Wang, Zhuang Xu, Yan Wang, Xueshan Gao, Hongsheng Li, Hongsheng Li, Yuxuan Hu, Guanglu Song and Yu Liu. Their work appears in journals such as Nano Research, Journal of Thermal Analysis and Calorimetry and IEEE Transactions on Plasma Science.
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.