Beiya Yang
Impact in
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- Inertial Sensor and Navigation
- UAV Applications and Optimization
- Ocean Engineering top 10%
- Underwater Vehicles and Communication Systems
Papers in
-
- Robotics and Sensor-Based Localization 10
- Inertial Sensor and Navigation 3
-
- Indoor and Outdoor Localization Technologies 8
- Co-authors
- Erfu Yang (10 shared papers)Leijian Yu (9 shared papers)Zhiyuan Chen (2 shared papers)Wei An (1 shared paper)Wah Hoon Siew (1 shared paper)I.D. Chalmers (1 shared paper)Zixiang Fei (2 shared papers)Hongbo Liu (1 shared paper)
- Journals
- IEEE Sensors Journal (2 papers)Journal of Intelligent & Robotic Systems (2 papers)China Communications (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)IEEE/ASME Transactions on Mechatronics (1 paper)
- Partner nations
- United KingdomChina
In The Last Decade
Beiya Yang
13 papers receiving 266 citations
Peers
Comparison fields: 5 of 37
- Aerospace Engineering 144
- Ocean Engineering 75
- Electrical and Electronic Engineering 182
- Computer Vision and Pattern Recognition 57
- Geology 14
Countries citing papers authored by Beiya Yang
This map shows the geographic impact of Beiya 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 Beiya Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beiya Yang more than expected).
Fields of papers citing papers by Beiya Yang
This network shows the impact of papers produced by Beiya 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 Beiya Yang. The network helps show where Beiya Yang may publish in the future.
Co-authors
The 12 scholars most cited alongside Beiya 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 46 | |
| 2 | 2015 | 40 | |
| 3 | 2021 | 37 | |
| 4 | 1995 | 36 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 27 | |
| 7 | 2023 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 6 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 |
About Beiya Yang
Beiya Yang is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 15 papers that have together received 276 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Indoor and Outdoor Localization Technologies (8 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Inertial Sensor and Navigation (3 papers), Underwater Vehicles and Communication Systems (3 papers), Robotic Path Planning Algorithms (3 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Aerospace Engineering (144 citations), Ocean Engineering (75 citations), Electrical and Electronic Engineering (182 citations), Computer Vision and Pattern Recognition (57 citations) and Geology (14 citations). Beiya Yang has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Erfu Yang, Leijian Yu, Zhiyuan Chen, Wei An, Wah Hoon Siew, I.D. Chalmers, Zixiang Fei, Hongbo Liu, Zhen Liu and Junpeng Zhan. Their work appears in journals such as IEEE Sensors Journal, Journal of Intelligent & Robotic Systems, China Communications, IEEE Transactions on Instrumentation and Measurement and IEEE/ASME Transactions on Mechatronics.
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.