Xinhai Xu
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Artificial Intelligence top 10%
- Co-authors
- Dianxi ShiYuan LiXuejun YangXiaoguang RenLiyang XuChao LiXiao‐Wei GuoMiao Wang
- Topics
- Parallel Computing and Optimization Techniques (18 papers)Reinforcement Learning in Robotics (11 papers)Lattice Boltzmann Simulation Studies (10 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Xinhai Xu
53 papers receiving 478 citations
Peers
Comparison fields: 5 of 67
- Aerospace Engineering 164
- Computer Networks and Communications 150
- Computer Vision and Pattern Recognition 135
- Computational Mechanics 112
- Artificial Intelligence 96
Countries citing papers authored by Xinhai Xu
This map shows the geographic impact of Xinhai Xu'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 Xinhai Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinhai Xu more than expected).
Fields of papers citing papers by Xinhai Xu
This network shows the impact of papers produced by Xinhai Xu. 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 Xinhai Xu. The network helps show where Xinhai Xu may publish in the future.
Co-authorship network of co-authors of Xinhai Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinhai Xu. A scholar is included among the top collaborators of Xinhai Xu 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 Xinhai Xu. Xinhai Xu 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 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | Review of reaction kinetics of methanol steam reforming for hydrogen production | 2 |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 215 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 11 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Xinhai Xu
Xinhai Xu is a scholar working on Hardware and Architecture, Fluid Flow and Transfer Processes and Computational Mechanics, having authored 62 papers that have together received 488 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Reinforcement Learning in Robotics (11 papers) and Lattice Boltzmann Simulation Studies (10 papers). The work is most often cited by research in Aerospace Engineering (164 citations), Computer Vision and Pattern Recognition (135 citations) and Computer Networks and Communications (150 citations). Xinhai Xu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Dianxi Shi, Yuan Li, Xuejun Yang, Xiaoguang Ren, Liyang Xu, Chao Li, Xiao‐Wei Guo, Miao Wang, Yuan Li and Wenjing Yang. Their work appears in journals such as Journal of Computational Physics, IEEE Access and RSC Advances.
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.