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
- Air Traffic Management and Optimization 9
- Guidance and Control Systems 8
- Robotics and Sensor-Based Localization 8
Yu Wu
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 595
- Aerospace Engineering 681
- Industrial and Manufacturing Engineering 138
- Ocean Engineering 204
- Computer Networks and Communications 296
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 8 | |
| 18 | 2017 | 3 | |
| 19 | Research on an Algorithm of Fingerprint Location Based on K-means and WKNN | 2016 | 2 |
| 20 | 2016 | 1 |
About Yu Wu
Yu Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Industrial and Manufacturing Engineering, Automotive Engineering and Computer Networks and Communications, 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), Air Traffic Management and Optimization (9 papers), Guidance and Control Systems (8 papers), Robotics and Sensor-Based Localization (8 papers), Distributed Control Multi-Agent Systems (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Vehicle Routing Optimization Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (595 citations), Aerospace Engineering (681 citations), Industrial and Manufacturing Engineering (138 citations), Ocean Engineering (204 citations) and Computer Networks and Communications (296 citations). Yu Wu has collaborated with scholars based in China, Singapore and Austria. Frequent co-authors include Kin Huat Low, Xiangju Qu, Xinting Hu, Chen Lv, Shaobo Wu, Xichao Su, Yanting Huang, Liguo Sun, Bizhao Pang and Xu Cheng. Their work appears in journals such as Aerospace Science and Technology, IEEE Internet of Things Journal, Drones, Swarm and Evolutionary Computation and Engineering Applications of Artificial Intelligence.
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.