Le Hui
Impact in
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Neural Network Applications 14
- Advanced Vision and Imaging 7
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 4
- Visual Attention and Saliency Detection 1
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- 3D Shape Modeling and Analysis 25
- Co-authors
- Jin Xie (15 shared papers)Jian Jun Yang (17 shared papers)Mingmei Cheng (4 shared papers)Jian Yang (2 shared papers)Jianjun Qian (8 shared papers)Yaqi Shen (3 shared papers)Yuchao Dai (9 shared papers)Yifan Zhao (1 shared paper)
In The Last Decade
Le Hui
42 papers receiving 720 citations
Peers
Comparison fields: 5 of 34
- Computational Mechanics 361
- Computer Vision and Pattern Recognition 342
- Automotive Engineering 40
- Aerospace Engineering 73
- Geology 14
Countries citing papers authored by Le Hui
This map shows the geographic impact of Le Hui'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 Le Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Hui more than expected).
Fields of papers citing papers by Le Hui
This network shows the impact of papers produced by Le Hui. 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 Le Hui. The network helps show where Le Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Hui, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2021 | 84 | |
| 3 | 2020 | 56 | |
| 4 | 2022 | 51 | |
| 5 | 2022 | 48 | |
| 6 | 2022 | 45 | |
| 7 | 2021 | 30 | |
| 8 | 2024 | 29 | |
| 9 | 2023 | 27 | |
| 10 | 2021 | 26 | |
| 11 | 2018 | 25 | |
| 12 | 2022 | 23 | |
| 13 | 2020 | 21 | |
| 14 | 2018 | 20 | |
| 15 | 2024 | 15 | |
| 16 | 2019 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 7 |
About Le Hui
Le Hui is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Automotive Engineering and Ocean Engineering, having authored 49 papers that have together received 727 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (25 papers), Advanced Neural Network Applications (14 papers), Advanced Vision and Imaging (7 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computational Mechanics (361 citations), Computer Vision and Pattern Recognition (342 citations), Automotive Engineering (40 citations), Aerospace Engineering (73 citations) and Geology (14 citations). Le Hui has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Jin Xie, Jian Jun Yang, Mingmei Cheng, Jian Yang, Jianjun Qian, Yaqi Shen, Yuchao Dai, Yifan Zhao, Xiang Li and Mu He. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, International Journal of Computer Vision, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.
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.