Yingyi Sun
Impact in
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- Robotic Path Planning Algorithms
- Handwritten Text Recognition Techniques
- Numerical Analysis top 10%
Papers in
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- Advanced Optimization Algorithms Research 3
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- Handwritten Text Recognition Techniques 3
- Robotic Path Planning Algorithms 2
- Advanced Image Processing Techniques 2
- Co-authors
- Zhongbo Sun (7 shared papers)Long Jin (3 shared papers)Guan Gui (4 shared papers)Wenhua Xu (3 shared papers)Sheng Hong (2 shared papers)Shanen Yu (2 shared papers)Guangyu Liu (2 shared papers)Bangcheng Zhang (2 shared papers)
- Journals
- IEEE Access (4 papers)Neurocomputing (4 papers)Journal of Intelligent & Robotic Systems (1 paper)Journal of the Operational Research Society (1 paper)Tsinghua Science & Technology (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Yingyi Sun
18 papers receiving 351 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 143
- Numerical Analysis 24
- Artificial Intelligence 89
- Computational Theory and Mathematics 29
- Control and Systems Engineering 41
Countries citing papers authored by Yingyi Sun
This map shows the geographic impact of Yingyi Sun'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 Yingyi Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingyi Sun more than expected).
Fields of papers citing papers by Yingyi Sun
This network shows the impact of papers produced by Yingyi Sun. 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 Yingyi Sun. The network helps show where Yingyi Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingyi Sun, 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 | 2022 | 71 | |
| 2 | 2019 | 53 | |
| 3 | 2019 | 52 | |
| 4 | 2019 | 39 | |
| 5 | 2019 | 35 | |
| 6 | 2023 | 26 | |
| 7 | 2019 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2025 | 3 |
About Yingyi Sun
Yingyi Sun is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Handwritten Text Recognition Techniques (3 papers), Optimization and Variational Analysis (3 papers), Advanced Optimization Algorithms Research (3 papers), Electric Power System Optimization (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Image Processing Techniques (2 papers) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Numerical Analysis (24 citations), Artificial Intelligence (89 citations), Computational Theory and Mathematics (29 citations) and Control and Systems Engineering (41 citations). Yingyi Sun has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Zhongbo Sun, Long Jin, Guan Gui, Wenhua Xu, Sheng Hong, Shanen Yu, Guangyu Liu, Bangcheng Zhang, Lin Wei and Zhe Yang. Their work appears in journals such as IEEE Access, Neurocomputing, Journal of Intelligent & Robotic Systems, Journal of the Operational Research Society and Tsinghua Science & Technology.
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.