Yu Wu
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 2%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Air Traffic Management and Optimization
- Guidance and Control Systems
Papers in
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- Robotic Path Planning Algorithms 41
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- UAV Applications and Optimization 16
- Robotics and Sensor-Based Localization 8
- Air Traffic Management and Optimization 8
- Guidance and Control Systems 8
- Co-authors
- Kin Huat Low (6 shared papers)Xiangju Qu (12 shared papers)Xinting Hu (5 shared papers)Chen Lv (1 shared paper)Shaobo Wu (2 shared papers)Xichao Su (13 shared papers)Yanting Huang (1 shared paper)Bizhao Pang (2 shared papers)
In The Last Decade
Yu Wu
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 613
- Aerospace Engineering 687
- Ocean Engineering 209
- Computer Networks and Communications 317
- Industrial and Manufacturing Engineering 132
Countries citing papers authored by Yu Wu
This map shows the geographic impact of Yu 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 Yu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wu more than expected).
Fields of papers citing papers by Yu Wu
This network shows the impact of papers produced by Yu 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 Yu Wu. The network helps show where Yu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 159 | |
| 2 | 2020 | 112 | |
| 3 | 2020 | 88 | |
| 4 | 2019 | 63 | |
| 5 | 2021 | 62 | |
| 6 | 2021 | 57 | |
| 7 | 2020 | 42 | |
| 8 | 2023 | 41 | |
| 9 | 2013 | 39 | |
| 10 | 2021 | 32 | |
| 11 | 2019 | 32 | |
| 12 | 2018 | 32 | |
| 13 | 2017 | 32 | |
| 14 | 2015 | 32 | |
| 15 | 2021 | 28 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2013 | 22 | |
| 19 | 2018 | 20 | |
| 20 | 2018 | 20 |
About Yu Wu
Yu Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Industrial and Manufacturing Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (41 papers), UAV Applications and Optimization (16 papers), Robotics and Sensor-Based Localization (8 papers), Air Traffic Management and Optimization (8 papers), Guidance and Control Systems (8 papers), Distributed Control Multi-Agent Systems (7 papers), Vehicle Routing Optimization Methods (6 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (613 citations), Aerospace Engineering (687 citations), Ocean Engineering (209 citations), Computer Networks and Communications (317 citations) and Industrial and Manufacturing Engineering (132 citations). Yu Wu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Kin Huat Low, Xiangju Qu, Xinting Hu, Chen Lv, Shaobo Wu, Xichao Su, Yanting Huang, Bizhao Pang, Xu Cheng and Huaming Wang. Their work appears in journals such as Aerospace Science and Technology, Drones, IEEE Internet of Things Journal, Engineering Applications of Artificial Intelligence and IEEE Transactions on Vehicular 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.