Xiaoqiang Lu
- Media Technology top 1%
- Remote-Sensing Image Classification 5
- Advanced Image Fusion Techniques 2
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- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 5
- Advanced Image Processing Techniques 4
- Video Surveillance and Tracking Methods 4
- Computational Mathematics top 10%
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 5
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- Sparse and Compressive Sensing Techniques 2
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (4 papers)IEEE Transactions on Cybernetics (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- China
In The Last Decade
Xiaoqiang Lu
18 papers receiving 656 citations
Peers
Comparison fields: 5 of 84
- Media Technology 263
- Computer Vision and Pattern Recognition 449
- Computational Mathematics 9
- Atmospheric Science 70
- Artificial Intelligence 113
Countries citing papers authored by Xiaoqiang Lu
This map shows the geographic impact of Xiaoqiang Lu'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 Xiaoqiang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqiang Lu more than expected).
Fields of papers citing papers by Xiaoqiang Lu
This network shows the impact of papers produced by Xiaoqiang Lu. 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 Xiaoqiang Lu. The network helps show where Xiaoqiang Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoqiang Lu, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 28 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 39 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 175 | |
| 14 | 2015 | 51 | |
| 15 | 2014 | 42 | |
| 16 | 2014 | 142 | |
| 17 | 2013 | 48 | |
| 18 | 2012 | 30 | |
| 19 | 2012 | 75 |
About Xiaoqiang Lu
Xiaoqiang Lu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 19 papers that have together received 670 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Remote-Sensing Image Classification (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image Processing Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Media Technology (263 citations), Computer Vision and Pattern Recognition (449 citations) and Computational Mathematics (9 citations). Xiaoqiang Lu has collaborated with scholars based in China. Frequent co-authors include Xuelong Li, Lichao Mou, Licheng Jiao, Yuting Yang, Zixiao Zhang, Pingkun Yan, Min Fu, Yuan Yuan, Yulong Wang and Yuan Yuan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.
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.