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
- Advanced Image and Video Retrieval Techniques 6
- Video Surveillance and Tracking Methods 6
-
- Autonomous Vehicle Technology and Safety 11
- Co-authors
- Kaijun Zhou (15 shared papers)Baifan Chen (11 shared papers)Yu-qian Zhao (12 shared papers)Fan Zhang (4 shared papers)Xiao‐Xin Yan (2 shared papers)Chunhua Yang (3 shared papers)Biao Luo (3 shared papers)Zixing Cai (8 shared papers)
- Journals
- Sensors (5 papers)Neurocomputing (3 papers)Applied Intelligence (3 papers)Biomedical Signal Processing and Control (2 papers)Applied Sciences (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Lingli Yu
60 papers receiving 598 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 311
- Automotive Engineering 132
- Control and Systems Engineering 162
- Aerospace Engineering 107
- Media Technology 35
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2018 | 42 | |
| 3 | 2018 | 40 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 30 | |
| 6 | 2016 | 28 | |
| 7 | 2020 | 24 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 17 | |
| 10 | 2017 | 16 | |
| 11 | 2024 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2009 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2015 | 13 | |
| 17 | 2012 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2007 | 9 |
About Lingli Yu
Lingli Yu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 64 papers that have together received 613 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), Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Video Surveillance and Tracking Methods (6 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (311 citations), Automotive Engineering (132 citations), Control and Systems Engineering (162 citations), Aerospace Engineering (107 citations) and Media Technology (35 citations). Lingli Yu has collaborated with scholars based in China and United States. Frequent co-authors include Kaijun Zhou, Baifan Chen, Yu-qian Zhao, Fan Zhang, Xiao‐Xin Yan, Chunhua Yang, Biao Luo, Zixing Cai, Xiaoyang Xiao and Miao Liao. Their work appears in journals such as Sensors, Neurocomputing, Applied Intelligence, Biomedical Signal Processing and Control 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.