Shaowu Yang
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Image and Object Detection Techniques
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 16
- Advanced Vision and Imaging 16
- Advanced Image and Video Retrieval Techniques 14
- Image and Object Detection Techniques 6
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- Robotics and Sensor-Based Localization 36
- Co-authors
- Andreas Zell (11 shared papers)Sebastian Scherer (1 shared paper)Sebastian Scherer (7 shared papers)Xiaodong Yi (9 shared papers)Dianxi Shi (16 shared papers)Huimin Lu (4 shared papers)Zhiqiang Zheng (2 shared papers)Hengzhu Liu (9 shared papers)
- Journals
- Journal of Intelligent & Robotic Systems (4 papers)IEEE Robotics and Automation Letters (3 papers)Sensors (3 papers)Neural Networks (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Shaowu Yang
69 papers receiving 738 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 520
- Aerospace Engineering 487
- Geology 79
- Instrumentation 15
- Control and Systems Engineering 85
Countries citing papers authored by Shaowu Yang
This map shows the geographic impact of Shaowu Yang'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 Shaowu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowu Yang more than expected).
Fields of papers citing papers by Shaowu Yang
This network shows the impact of papers produced by Shaowu Yang. 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 Shaowu Yang. The network helps show where Shaowu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaowu Yang, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 141 | |
| 2 | 2017 | 71 | |
| 3 | 2013 | 45 | |
| 4 | 2023 | 30 | |
| 5 | 2010 | 28 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 26 | |
| 8 | 2017 | 21 | |
| 9 | 2010 | 21 | |
| 10 | 2007 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2001 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2015 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2016 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2015 | 9 |
About Shaowu Yang
Shaowu Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering and Geology, having authored 76 papers that have together received 754 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (36 papers), Robotic Path Planning Algorithms (16 papers), Advanced Vision and Imaging (16 papers), Advanced Image and Video Retrieval Techniques (14 papers), 3D Surveying and Cultural Heritage (10 papers), Image and Object Detection Techniques (6 papers), Distributed Control Multi-Agent Systems (6 papers) and Reinforcement Learning in Robotics (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (520 citations), Aerospace Engineering (487 citations), Geology (79 citations), Instrumentation (15 citations) and Control and Systems Engineering (85 citations). Shaowu Yang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Andreas Zell, Sebastian Scherer, Sebastian Scherer, Xiaodong Yi, Dianxi Shi, Huimin Lu, Zhiqiang Zheng, Hengzhu Liu, Slobodan Ilić and Ivan Shugurov. Their work appears in journals such as Journal of Intelligent & Robotic Systems, IEEE Robotics and Automation Letters, Sensors, Neural Networks and Applied 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.