Lin Zuo
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Image and Object Detection Techniques
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- Industrial Vision Systems and Defect Detection
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Handwritten Text Recognition Techniques 5
- Multimodal Machine Learning Applications 5
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- Domain Adaptation and Few-Shot Learning 7
- Neural Networks and Applications 5
- Co-authors
- Heng Tao Shen (5 shared papers)Yu Liu (7 shared papers)Yang Yang (4 shared papers)Jingjing Li (8 shared papers)Zhehan Zhang (3 shared papers)Changhua Zhang (6 shared papers)Tangfan Xiahou (6 shared papers)Fumin Shen (1 shared paper)
In The Last Decade
Lin Zuo
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 385
- Industrial and Manufacturing Engineering 110
- Control and Systems Engineering 239
- Automotive Engineering 106
- Media Technology 74
Countries citing papers authored by Lin Zuo
This map shows the geographic impact of Lin Zuo'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 Lin Zuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Zuo more than expected).
Fields of papers citing papers by Lin Zuo
This network shows the impact of papers produced by Lin Zuo. 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 Lin Zuo. The network helps show where Lin Zuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Zuo, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 204 | |
| 2 | 2022 | 93 | |
| 3 | 2020 | 84 | |
| 4 | 2020 | 81 | |
| 5 | 2021 | 71 | |
| 6 | 2022 | 38 | |
| 7 | 2020 | 37 | |
| 8 | 2019 | 32 | |
| 9 | 2020 | 32 | |
| 10 | 2023 | 30 | |
| 11 | 2018 | 30 | |
| 12 | 2018 | 28 | |
| 13 | 2017 | 27 | |
| 14 | 2019 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2019 | 22 | |
| 17 | 2022 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2021 | 12 | |
| 20 | 2019 | 12 |
About Lin Zuo
Lin Zuo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Memory and Neural Computing (5 papers), Handwritten Text Recognition Techniques (5 papers), Multimodal Machine Learning Applications (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (385 citations), Industrial and Manufacturing Engineering (110 citations), Control and Systems Engineering (239 citations), Automotive Engineering (106 citations) and Media Technology (74 citations). Lin Zuo has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Heng Tao Shen, Yu Liu, Yang Yang, Jingjing Li, Zhehan Zhang, Changhua Zhang, Tangfan Xiahou, Fumin Shen, Xing Xu and Tan Wang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation and Measurement, Neurocomputing, Journal of Materials Science Materials in Electronics and IEEE Access.
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.