Rendong Ying
Impact in
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- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Robotic Path Planning Algorithms 12
- Advanced Image and Video Retrieval Techniques 11
- Advanced Vision and Imaging 9
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- Speech and Audio Processing 8
- Blind Source Separation Techniques 8
Rendong Ying
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 584
- Geology 140
- Aerospace Engineering 510
- Computational Mathematics 8
- Signal Processing 144
Countries citing papers authored by Rendong Ying
This map shows the geographic impact of Rendong Ying'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 Rendong Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rendong Ying more than expected).
Fields of papers citing papers by Rendong Ying
This network shows the impact of papers produced by Rendong Ying. 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 Rendong Ying. The network helps show where Rendong Ying may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rendong Ying, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 4 | |
| 15 | 2019 | 26 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 47 | |
| 18 | 2019 | 36 | |
| 19 | 2019 | 11 | |
| 20 | Parallel Acquisition of GNSS Signal Based on Combined Code | 2013 | 0 |
About Rendong Ying
Rendong Ying is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Aerospace Engineering, Hardware and Architecture and Instrumentation, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (26 papers), Indoor and Outdoor Localization Technologies (16 papers), Robotic Path Planning Algorithms (12 papers), Advanced Image and Video Retrieval Techniques (11 papers), Sparse and Compressive Sensing Techniques (9 papers), Advanced Vision and Imaging (9 papers), Speech and Audio Processing (8 papers) and Blind Source Separation Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (584 citations), Geology (140 citations), Aerospace Engineering (510 citations), Computational Mathematics (8 citations) and Signal Processing (144 citations). Rendong Ying has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Peilin Liu, Fei Wen, Ling Pei, Jiuchao Qian, Wenxian Yu, Danping Zou, Huizhong Zhou, Zheng Gong, Trieu‐Kien Truong and Yipeng Liu. Their work appears in journals such as Sensors, IEEE Sensors Journal, IEEE Signal Processing Letters, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Information Forensics and Security.
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.