Long Xu
Impact in
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- Image and Video Quality Assessment
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Signal Processing top 2%
- Video Coding and Compression Technologies
Papers in
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- Image and Video Quality Assessment 32
- Image Enhancement Techniques 26
- Advanced Vision and Imaging 23
- Advanced Image Processing Techniques 21
- Video Surveillance and Tracking Methods 17
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- Solar and Space Plasma Dynamics 21
- Co-authors
- Yihua Yan (33 shared papers)Sam Kwong (14 shared papers)Lin Ma (18 shared papers)Yun Zhang (14 shared papers)Xu Wang (4 shared papers)Jia Li (9 shared papers)King Ngi Ngan (12 shared papers)Zhao Dong (13 shared papers)
In The Last Decade
Long Xu
125 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 420
- Media Technology 318
- Astronomy and Astrophysics 267
- Artificial Intelligence 320
Countries citing papers authored by Long Xu
This map shows the geographic impact of Long 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 Long Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Xu more than expected).
Fields of papers citing papers by Long Xu
This network shows the impact of papers produced by Long 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 Long Xu. The network helps show where Long Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 162 | |
| 2 | 2018 | 145 | |
| 3 | 2014 | 92 | |
| 4 | 2019 | 77 | |
| 5 | 2019 | 55 | |
| 6 | 2013 | 54 | |
| 7 | 2013 | 43 | |
| 8 | 2016 | 42 | |
| 9 | 2016 | 41 | |
| 10 | 2020 | 40 | |
| 11 | 2016 | 36 | |
| 12 | 2022 | 35 | |
| 13 | 2010 | 35 | |
| 14 | 2016 | 34 | |
| 15 | 2021 | 32 | |
| 16 | 2021 | 29 | |
| 17 | 2017 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2002 | 22 | |
| 20 | 2013 | 22 |
About Long Xu
Long Xu is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Signal Processing, Media Technology and Artificial Intelligence, having authored 151 papers that have together received 1.7k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (32 papers), Image Enhancement Techniques (26 papers), Advanced Image Fusion Techniques (25 papers), Advanced Vision and Imaging (23 papers), Video Coding and Compression Technologies (21 papers), Advanced Image Processing Techniques (21 papers), Solar and Space Plasma Dynamics (21 papers) and Video Surveillance and Tracking Methods (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (420 citations), Media Technology (318 citations), Astronomy and Astrophysics (267 citations) and Artificial Intelligence (320 citations). Long Xu has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Yihua Yan, Sam Kwong, Lin Ma, Yun Zhang, Xu Wang, Jia Li, King Ngi Ngan, Zhao Dong, Xin Huang and Ling‐Yu Duan. Their work appears in journals such as The Astrophysical Journal Supplement Series, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing and Solar Physics.
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.