Lingli Yu
Impact in
-
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
Papers in
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- Robotic Path Planning Algorithms 17
- Advanced Neural Network Applications 8
- Visual Attention and Saliency Detection 8
- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 6
- Co-authors
- Kaijun Zhou (16 shared papers)Baifan Chen (10 shared papers)Yuqian Zhao (12 shared papers)Zixing Cai (9 shared papers)Xiao‐Xin Yan (2 shared papers)Fan Zhang (4 shared papers)Biao Luo (3 shared papers)Chunhua Yang (3 shared papers)
- Journals
- Sensors (5 papers)Neurocomputing (3 papers)Applied Intelligence (3 papers)Future Internet (2 papers)Applied Sciences (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lingli Yu
59 papers receiving 526 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 282
- Automotive Engineering 130
- Control and Systems Engineering 158
- Aerospace Engineering 96
- Media Technology 33
Countries citing papers authored by Lingli Yu
This map shows the geographic impact of Lingli Yu'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 Lingli Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingli Yu more than expected).
Fields of papers citing papers by Lingli Yu
This network shows the impact of papers produced by Lingli Yu. 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 Lingli Yu. The network helps show where Lingli Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingli Yu, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2018 | 41 | |
| 3 | 2018 | 36 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 29 | |
| 6 | 2020 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2023 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2024 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2009 | 13 | |
| 14 | 2018 | 13 | |
| 15 | 2012 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2007 | 9 |
About Lingli Yu
Lingli Yu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Automotive Engineering and Biomedical Engineering, having authored 65 papers that have together received 543 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Autonomous Vehicle Technology and Safety (11 papers), Advanced Neural Network Applications (8 papers), Visual Attention and Saliency Detection (8 papers), Video Surveillance and Tracking Methods (6 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (282 citations), Automotive Engineering (130 citations), Control and Systems Engineering (158 citations), Aerospace Engineering (96 citations) and Media Technology (33 citations). Lingli Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kaijun Zhou, Baifan Chen, Yuqian Zhao, Zixing Cai, Xiao‐Xin Yan, Fan Zhang, Biao Luo, Chunhua Yang, Xiaoyang Xiao and Yuqian Zhao. Their work appears in journals such as Sensors, Neurocomputing, Applied Intelligence, Future Internet and Applied Sciences.
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.