Yu Bo
Impact in
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Robotic Path Planning Algorithms 12
- Advanced Vision and Imaging 5
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- Robotics and Sensor-Based Localization 21
- Co-authors
- Shaoshan Liu (26 shared papers)Jie Tang (18 shared papers)Weisong Shi (2 shared papers)Liangkai Liu (2 shared papers)Yifan Wang (1 shared paper)Yuhao Zhu (12 shared papers)Zishen Wan (7 shared papers)Arijit Raychowdhury (4 shared papers)
- Journals
- Communications of the ACM (2 papers)Computer (2 papers)Fundamental Research (1 paper)Transactions of the ASABE (1 paper)Journal of Field Robotics (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Yu Bo
61 papers receiving 1.1k citations
Yu Bo's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 388
- Automotive Engineering 189
- Computer Networks and Communications 337
- Hardware and Architecture 71
- Aerospace Engineering 233
Countries citing papers authored by Yu Bo
This map shows the geographic impact of Yu Bo'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 Bo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Bo more than expected).
Fields of papers citing papers by Yu Bo
This network shows the impact of papers produced by Yu Bo. 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 Bo. The network helps show where Yu Bo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Bo, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Edge Computing for Autonomous Driving: Opportunities and Challenges Hit paper breakdown → | 2019 | 531 |
| 2 | 2021 | 85 | |
| 3 | 2020 | 60 | |
| 4 | 2020 | 52 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 26 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 20 | |
| 11 | 2010 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2021 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2009 | 12 |
About Yu Bo
Yu Bo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Control and Systems Engineering and Computer Networks and Communications, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (21 papers), Modular Robots and Swarm Intelligence (13 papers), Robotic Path Planning Algorithms (12 papers), Robotics and Automated Systems (8 papers), Autonomous Vehicle Technology and Safety (7 papers), Advanced Vision and Imaging (5 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (388 citations), Automotive Engineering (189 citations), Computer Networks and Communications (337 citations), Hardware and Architecture (71 citations) and Aerospace Engineering (233 citations). Yu Bo has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Shaoshan Liu, Jie Tang, Weisong Shi, Liangkai Liu, Yifan Wang, Yuhao Zhu, Zishen Wan, Arijit Raychowdhury, Wei Hu and Leimeng Xu. Their work appears in journals such as Communications of the ACM, Computer, Fundamental Research, Transactions of the ASABE and Journal of Field Robotics.
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.