William Wu
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 5
- Digital Imaging for Blood Diseases 1
- Advanced Vision and Imaging 1
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Shaojie Shen (5 shared papers)Fei Gao (5 shared papers)Yi Lin (2 shared papers)Wenliang Gao (2 shared papers)Zhenfei Yang (1 shared paper)Tianbo Liu (1 shared paper)Tong Qin (1 shared paper)Boyu Zhou (2 shared papers)
- Journals
- Journal of Field Robotics (2 papers)IEEE Robotics and Automation Letters (1 paper)Transactions of the Royal Society of Tropical Medicine and Hygiene (1 paper)ePrints Soton (University of Southampton) (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (2 papers)
- Partner nations
- Hong KongUnited StatesUganda
In The Last Decade
William Wu
5 papers receiving 528 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 436
- Aerospace Engineering 401
- Geology 63
- Automotive Engineering 67
- Control and Systems Engineering 121
Countries citing papers authored by William Wu
This map shows the geographic impact of William 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 William Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Wu more than expected).
Fields of papers citing papers by William Wu
This network shows the impact of papers produced by William 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 William Wu. The network helps show where William Wu may publish in the future.
Co-authors
The 21 scholars most cited alongside William 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 | 2018 | 190 | |
| 2 | 2017 | 180 | |
| 3 | 2018 | 112 | |
| 4 | 2018 | 40 | |
| 5 | 2019 | 20 | |
| 6 | 2026 | 0 | |
| 7 | 2025 | 0 |
About William Wu
William Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications and Ocean Engineering, having authored 7 papers that have together received 542 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (5 papers), Control and Dynamics of Mobile Robots (2 papers), Underwater Vehicles and Communication Systems (1 paper), Distributed Control Multi-Agent Systems (1 paper), Digital Imaging for Blood Diseases (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (436 citations), Aerospace Engineering (401 citations), Geology (63 citations), Automotive Engineering (67 citations) and Control and Systems Engineering (121 citations). William Wu has collaborated with scholars based in Hong Kong, United States and Uganda. Frequent co-authors include Shaojie Shen, Fei Gao, Yi Lin, Wenliang Gao, Zhenfei Yang, Tianbo Liu, Tong Qin, Boyu Zhou, Jie Pan and Kaixuan Wang. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, Transactions of the Royal Society of Tropical Medicine and Hygiene, ePrints Soton (University of Southampton) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.