Fang Xu
- Media Technology top 2%
- Remote-Sensing Image Classification 9
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- Advanced Image and Video Retrieval Techniques 19
- Video Surveillance and Tracking Methods 14
- Advanced Neural Network Applications 13
- Advanced Vision and Imaging 10
- Environmental Engineering top 10%
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 15
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- Robot Manipulation and Learning 8
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- Remote Sensing in Agriculture 6
Fang Xu
96 papers receiving 883 citations
Peers
Comparison fields: 5 of 114
- Media Technology 183
- Computer Vision and Pattern Recognition 319
- Environmental Engineering 82
- Aerospace Engineering 129
- Safety, Risk, Reliability and Quality 44
Countries citing papers authored by Fang Xu
This map shows the geographic impact of Fang 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 Fang Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Xu more than expected).
Fields of papers citing papers by Fang Xu
This network shows the impact of papers produced by Fang 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 Fang Xu. The network helps show where Fang Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fang Xu, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 8 | |
| 17 | Segmentation of remote sensing imagery based on Gabor texture description | 2013 | 1 |
| 18 | Numerical simulation of the thermal environment in a mechanically ventilated greenhouse. | 2010 | 6 |
| 19 | Chinese Base NP Chunking by Error-driven Combination Classifiers | 2007 | 0 |
| 20 | Texture Classification of Aerial Images Based on Support Vector Machines | 2003 | 2 |
About Fang Xu
Fang Xu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Business and International Management, having authored 112 papers that have together received 920 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Robotics and Sensor-Based Localization (15 papers), Video Surveillance and Tracking Methods (14 papers), Advanced Neural Network Applications (13 papers), Advanced Vision and Imaging (10 papers), Remote-Sensing Image Classification (9 papers), Robot Manipulation and Learning (8 papers) and Remote Sensing in Agriculture (6 papers). The work is most often cited by research in Media Technology (183 citations), Computer Vision and Pattern Recognition (319 citations) and Environmental Engineering (82 citations). Fang Xu has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Wen Yang, Jiaoliao Chen, Libin Zhang, Gui-Song Xia, Guanjun Bao, Qinghua Yang, Lingfeng Chen, Yuehua Wan, Hui Fang and Yilei Shi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.