Zuxin Liu
- Aerospace Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Geology top 2%
- Electrical and Electronic Engineering
- Environmental Engineering top 10%
- Topics
- Robotics and Sensor-Based Localization (6 papers)Microbial Metabolites in Food Biotechnology (4 papers)Autonomous Vehicle Technology and Safety (3 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Zuxin Liu
19 papers receiving 919 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Aerospace Engineering 675
- Computer Vision and Pattern Recognition 653
- Geology 193
- Electrical and Electronic Engineering 103
- Environmental Engineering 78
Countries citing papers authored by Zuxin Liu
This map shows the geographic impact of Zuxin 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 Zuxin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuxin Liu more than expected).
Fields of papers citing papers by Zuxin Liu
This network shows the impact of papers produced by Zuxin 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 Zuxin Liu. The network helps show where Zuxin Liu may publish in the future.
Co-authorship network of co-authors of Zuxin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zuxin Liu. A scholar is included among the top collaborators of Zuxin 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 Zuxin Liu. Zuxin 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 44 | |
| 9 | 12 | |
| 10 | 68 | |
| 11 | Delay-Aware Multi-Agent Reinforcement Learning. | 3 |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | DS-SLAM: A Semantic Visual SLAM towards Dynamic Environmentsbreakdown → | 670 |
| 16 | Carbohydrates and predicted ethanol yield of different sweet sorghum cultivars at two nitrogen levels in arid region. | 1 |
| 17 | 60 | |
| 18 | An overview of researches on Jerusalem artichoke as a biofuel crop. | 3 |
| 19 | 18 | |
| 20 | New perspective of the research of the primitive religion of the Dai people | 1 |
About Zuxin Liu
Zuxin Liu is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Nutrition and Dietetics, having authored 24 papers that have together received 951 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Geology (193 citations), Computer Vision and Pattern Recognition (653 citations) and Aerospace Engineering (675 citations). Zuxin Liu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Xin-Jun Liu, Chao Yu, Qi Wei, Yi Yang, Fugui Xie, Fei Qiao, Ding Zhao, Huimin Xie, Yosef Steinberger and Baiming Chen. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Access and Biotechnology for Biofuels.
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.