Sidi Wu
Impact in
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- Geographic Information Systems Studies
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- Advanced Image and Video Retrieval Techniques
- Image Processing and 3D Reconstruction
Papers in
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- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Lorenz Hurni (7 shared papers)Magnus Heitzler (5 shared papers)Adrienne Grêt‐Regamey (1 shared paper)Loïc Landrieu (1 shared paper)Christine Weber (1 shared paper)Konrad Schindler (1 shared paper)Maarten J. van Strien (1 shared paper)Yizi Chen (2 shared papers)
- Journals
- Scientific Reports (1 paper)GIScience & Remote Sensing (1 paper)Wiley Interdisciplinary Reviews Water (1 paper)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- SwitzerlandItalySpain
In The Last Decade
Sidi Wu
8 papers receiving 48 citations
Peers
Comparison fields: 5 of 40
- Geography, Planning and Development 7
- Computer Vision and Pattern Recognition 17
- Space and Planetary Science 1
- Environmental Engineering 9
- Media Technology 4
Countries citing papers authored by Sidi Wu
This map shows the geographic impact of Sidi Wu'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 Sidi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidi Wu more than expected).
Fields of papers citing papers by Sidi Wu
This network shows the impact of papers produced by Sidi Wu. 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 Sidi Wu. The network helps show where Sidi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sidi Wu, 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 | 2022 | 17 | |
| 2 | 2024 | 8 | |
| 3 | 2015 | 6 | |
| 4 | 2023 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2025 | 0 |
About Sidi Wu
Sidi Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Global and Planetary Change and Nature and Landscape Conservation, having authored 9 papers that have together received 48 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Urban Green Space and Health (1 paper), Neutrino Physics Research (1 paper), Superconductivity in MgB2 and Alloys (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Urban Design and Spatial Analysis (1 paper), Robotics and Sensor-Based Localization (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Geography, Planning and Development (7 citations), Computer Vision and Pattern Recognition (17 citations), Space and Planetary Science (1 citation), Environmental Engineering (9 citations) and Media Technology (4 citations). Sidi Wu has collaborated with scholars based in Switzerland, Italy and Spain. Frequent co-authors include Lorenz Hurni, Magnus Heitzler, Adrienne Grêt‐Regamey, Loïc Landrieu, Christine Weber, Konrad Schindler, Maarten J. van Strien, Yizi Chen, Michael Doering and Konrad Schindler. Their work appears in journals such as Scientific Reports, GIScience & Remote Sensing, Wiley Interdisciplinary Reviews Water, ISPRS Journal of Photogrammetry and Remote Sensing and SHILAP Revista de lepidopterología.
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.