Xinpeng Liu
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Automotive Engineering
- Co-authors
- Xianqiang YangYong–Lu LiShiyi WangCewu LuJiefeng LiJunqi LiuLu HanYue Xu
- Topics
- Fault Detection and Control Systems (11 papers)Control Systems and Identification (11 papers)Multimodal Machine Learning Applications (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringHuman-Computer Interaction
- Partner nations
- ChinaNorth KoreaHong Kong
In The Last Decade
Xinpeng Liu
24 papers receiving 421 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 208
- Control and Systems Engineering 146
- Artificial Intelligence 123
- Electrical and Electronic Engineering 54
- Automotive Engineering 32
Countries citing papers authored by Xinpeng Liu
This map shows the geographic impact of Xinpeng 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 Xinpeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinpeng Liu more than expected).
Fields of papers citing papers by Xinpeng Liu
This network shows the impact of papers produced by Xinpeng 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 Xinpeng Liu. The network helps show where Xinpeng Liu may publish in the future.
Co-authorship network of co-authors of Xinpeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinpeng Liu. A scholar is included among the top collaborators of Xinpeng 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 Xinpeng Liu. Xinpeng 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 | 7 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 21 | |
| 13 | 20 | |
| 14 | 40 | |
| 15 | 5 | |
| 16 | 27 | |
| 17 | 75 | |
| 18 | HOI Analysis: Integrating and Decomposing Human-Object Interaction | 4 |
| 19 | 1 | |
| 20 | 98 |
About Xinpeng Liu
Xinpeng Liu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 30 papers that have together received 425 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (11 papers), Control Systems and Identification (11 papers) and Multimodal Machine Learning Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Control and Systems Engineering (146 citations) and Human-Computer Interaction (22 citations). Xinpeng Liu has collaborated with scholars based in China, North Korea and Hong Kong. Frequent co-authors include Xianqiang Yang, Yong–Lu Li, Shiyi Wang, Cewu Lu, Cewu Lu, Xianqiang Yang, Jiefeng Li, Junqi Liu, Lu Han and Yue Xu. Their work appears in journals such as Chemical Engineering Journal, Sensors and Journal of Alloys and Compounds.
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.