Yaochen Li
Impact in
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- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
Papers in
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- Advanced Neural Network Applications 12
- Video Surveillance and Tracking Methods 12
- Advanced Vision and Imaging 9
- Advanced Image and Video Retrieval Techniques 8
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- Autonomous Vehicle Technology and Safety 11
- Co-authors
- Jihua Zhu (14 shared papers)Shanmin Pang (8 shared papers)Zhongyu Li (5 shared papers)Qinghai Zheng (2 shared papers)Jun Wang (1 shared paper)Yuehu Liu (8 shared papers)Yuehu Liu (9 shared papers)Nanning Zheng (4 shared papers)
- Journals
- Neurocomputing (5 papers)Multimedia Tools and Applications (3 papers)IEEE Transactions on Intelligent Transportation Systems (3 papers)Electronics Letters (2 papers)Sensors (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Yaochen Li
63 papers receiving 532 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 315
- Computational Mathematics 7
- Media Technology 67
- Automotive Engineering 66
- Computer Graphics and Computer-Aided Design 17
Countries citing papers authored by Yaochen Li
This map shows the geographic impact of Yaochen Li'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 Yaochen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaochen Li more than expected).
Fields of papers citing papers by Yaochen Li
This network shows the impact of papers produced by Yaochen Li. 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 Yaochen Li. The network helps show where Yaochen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaochen Li, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2023 | 44 | |
| 3 | 2020 | 41 | |
| 4 | 2023 | 30 | |
| 5 | 2021 | 24 | |
| 6 | 2018 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2015 | 16 | |
| 9 | 2017 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2011 | 11 | |
| 13 | 2015 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2018 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2020 | 7 |
About Yaochen Li
Yaochen Li is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Computational Mechanics and Environmental Engineering, having authored 67 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (12 papers), Autonomous Vehicle Technology and Safety (11 papers), Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (9 papers), Remote Sensing and LiDAR Applications (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Computational Mathematics (7 citations), Media Technology (67 citations), Automotive Engineering (66 citations) and Computer Graphics and Computer-Aided Design (17 citations). Yaochen Li has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jihua Zhu, Shanmin Pang, Zhongyu Li, Qinghai Zheng, Jun Wang, Yuehu Liu, Yuehu Liu, Nanning Zheng, Ruihao Wang and Jian G. Qin. Their work appears in journals such as Neurocomputing, Multimedia Tools and Applications, IEEE Transactions on Intelligent Transportation Systems, Electronics Letters and Sensors.
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.