Lisha Cui
Impact in
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- Industrial Vision Systems and Defect Detection
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 1
- Visual Attention and Saliency Detection 1
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- Industrial Vision Systems and Defect Detection 1
- Co-authors
- Xiaoheng Jiang (3 shared papers)Mingliang Xu (3 shared papers)Bing Zhou (3 shared papers)Zhimin Gao (2 shared papers)Pei Lv (2 shared papers)Wanqing Li (1 shared paper)Ling Shao (1 shared paper)Luming Zhang (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (1 paper)IEEE Transactions on Cybernetics (1 paper)Science China Information Sciences (1 paper)Journal of Computer Science and Technology (1 paper)
- Partner nations
- ChinaAustraliaUnited Arab Emirates
In The Last Decade
Lisha Cui
5 papers receiving 256 citations
Peers
Comparison fields: 5 of 42
- Industrial and Manufacturing Engineering 114
- Computer Vision and Pattern Recognition 172
- Media Technology 45
- Civil and Structural Engineering 36
- Computational Mechanics 33
Countries citing papers authored by Lisha Cui
This map shows the geographic impact of Lisha Cui'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 Lisha Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Cui more than expected).
Fields of papers citing papers by Lisha Cui
This network shows the impact of papers produced by Lisha Cui. 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 Lisha Cui. The network helps show where Lisha Cui may publish in the future.
Co-authors
The 14 scholars most cited alongside Lisha Cui, 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 | 2021 | 104 | |
| 2 | 2020 | 91 | |
| 3 | 2020 | 63 | |
| 4 | 2017 | 2 | |
| 5 | 2024 | 1 |
About Lisha Cui
Lisha Cui is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Geophysics, Mechanical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 261 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Non-Destructive Testing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Robotics and Sensor-Based Localization (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Industrial Vision Systems and Defect Detection (1 paper), COVID-19 diagnosis using AI (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (114 citations), Computer Vision and Pattern Recognition (172 citations), Media Technology (45 citations), Civil and Structural Engineering (36 citations) and Computational Mechanics (33 citations). Lisha Cui has collaborated with scholars based in China, Australia and United Arab Emirates. Frequent co-authors include Xiaoheng Jiang, Mingliang Xu, Bing Zhou, Zhimin Gao, Pei Lv, Wanqing Li, Ling Shao, Luming Zhang, Jianming Wang and Ronghua Zhang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Cybernetics, Science China Information Sciences and Journal of Computer Science and 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.