Xiaochen Liu
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
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- Advanced Vision and Imaging 6
- Video Surveillance and Tracking Methods 6
- Image Enhancement Techniques 4
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- Robotics and Sensor-Based Localization 5
- Advanced SAR Imaging Techniques 4
- Synthetic Aperture Radar (SAR) Applications and Techniques 4
- Co-authors
- Chong Shen (6 shared papers)Suping Fang (1 shared paper)Jun Tang (3 shared papers)Jun Liu (3 shared papers)Xiaoting Guo (3 shared papers)Donghua Zhao (3 shared papers)Chenguang Wang (4 shared papers)Ramesh Govindan (3 shared papers)
- Journals
- Applied Sciences (3 papers)Remote Sensing (3 papers)Mathematical Biosciences & Engineering (2 papers)Sensors (2 papers)Neural Networks (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaochen Liu
30 papers receiving 345 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 147
- Media Technology 37
- Aerospace Engineering 93
- Industrial and Manufacturing Engineering 25
- Ocean Engineering 35
Countries citing papers authored by Xiaochen Liu
This map shows the geographic impact of Xiaochen 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 Xiaochen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Liu more than expected).
Fields of papers citing papers by Xiaochen Liu
This network shows the impact of papers produced by Xiaochen 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 Xiaochen Liu. The network helps show where Xiaochen Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2020 | 40 | |
| 3 | 2018 | 29 | |
| 4 | 2015 | 29 | |
| 5 | 2019 | 28 | |
| 6 | 2023 | 26 | |
| 7 | 2018 | 23 | |
| 8 | 2022 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 4 |
About Xiaochen Liu
Xiaochen Liu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Media Technology and Environmental Engineering, having authored 38 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Video Surveillance and Tracking Methods (6 papers), Robotics and Sensor-Based Localization (5 papers), Image Processing Techniques and Applications (4 papers), Advanced SAR Imaging Techniques (4 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers), Image Enhancement Techniques (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Media Technology (37 citations), Aerospace Engineering (93 citations), Industrial and Manufacturing Engineering (25 citations) and Ocean Engineering (35 citations). Xiaochen Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chong Shen, Suping Fang, Jun Tang, Jun Liu, Xiaoting Guo, Donghua Zhao, Chenguang Wang, Ramesh Govindan, Huiliang Cao and Haoqian Huang. Their work appears in journals such as Applied Sciences, Remote Sensing, Mathematical Biosciences & Engineering, Sensors and Neural Networks.
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.