Xiaobin Liu
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Video Surveillance and Tracking Methods 6
- Human Pose and Action Recognition 2
- Face recognition and analysis 2
- Advanced Neural Network Applications 2
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- Smart Agriculture and AI 3
- Rice Cultivation and Yield Improvement 2
- Co-authors
- Shiliang Zhang (8 shared papers)Qingming Huang (1 shared paper)Wen Gao (1 shared paper)Qi Tian (2 shared papers)Richang Hong (1 shared paper)Xiaoyu Wang (1 shared paper)Longhui Wei (1 shared paper)Jianing Li (1 shared paper)
- Journals
- BioMed Research International (1 paper)PeerJ Computer Science (1 paper)IEEE Transactions on Image Processing (1 paper)Pattern Recognition (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Xiaobin Liu
18 papers receiving 352 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 291
- Media Technology 70
- Automotive Engineering 50
- Artificial Intelligence 50
- Biomedical Engineering 38
Countries citing papers authored by Xiaobin Liu
This map shows the geographic impact of Xiaobin 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 Xiaobin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Liu more than expected).
Fields of papers citing papers by Xiaobin Liu
This network shows the impact of papers produced by Xiaobin 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 Xiaobin Liu. The network helps show where Xiaobin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 170 | |
| 2 | 2019 | 47 | |
| 3 | 2020 | 25 | |
| 4 | 2018 | 20 | |
| 5 | 2021 | 19 | |
| 6 | 2019 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 4 | |
| 12 | 2006 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2011 | 3 | |
| 16 | Breeding of two-line indica hybrid rice combination, “Yangliangyou 6”，and studying on its culture characteristics | 2005 | 3 |
| 17 | 2016 | 2 | |
| 18 | 2025 | 1 |
About Xiaobin Liu
Xiaobin Liu is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Biomedical Engineering, Artificial Intelligence and Media Technology, having authored 18 papers that have together received 356 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Gait Recognition and Analysis (4 papers), Smart Agriculture and AI (3 papers), Vehicle License Plate Recognition (2 papers), Human Pose and Action Recognition (2 papers), Face recognition and analysis (2 papers), Rice Cultivation and Yield Improvement (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (291 citations), Media Technology (70 citations), Automotive Engineering (50 citations), Artificial Intelligence (50 citations) and Biomedical Engineering (38 citations). Xiaobin Liu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Shiliang Zhang, Qingming Huang, Wen Gao, Qi Tian, Richang Hong, Xiaoyu Wang, Longhui Wei, Jianing Li, Tiejun Huang and Ming Yang. Their work appears in journals such as BioMed Research International, PeerJ Computer Science, IEEE Transactions on Image Processing, Pattern Recognition and Neurocomputing.
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.