Lei Cui
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 5%
- AI in cancer detection
- Natural Language Processing Techniques
- Topic Modeling
Papers in
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- Digital Imaging for Blood Diseases 6
- Handwritten Text Recognition Techniques 6
- Advanced Neural Network Applications 6
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- AI in cancer detection 12
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Furu Wei (7 shared papers)Tengchao Lv (4 shared papers)Yutong Lu (1 shared paper)Yupan Huang (1 shared paper)Jun Feng (19 shared papers)Minghao Li (3 shared papers)Zhoujun Li (3 shared papers)Yiheng Xu (3 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Pattern Recognition (2 papers)Pattern Recognition Letters (1 paper)British Journal of Oral and Maxillofacial Surgery (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Lei Cui
42 papers receiving 1.1k citations
Lei Cui's Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 626
- Artificial Intelligence 456
- Radiology, Nuclear Medicine and Imaging 187
- Media Technology 77
- Health Informatics 7
Countries citing papers authored by Lei Cui
This map shows the geographic impact of Lei 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 Lei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Cui more than expected).
Fields of papers citing papers by Lei Cui
This network shows the impact of papers produced by Lei 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 Lei Cui. The network helps show where Lei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking Hit paper breakdown → | 2022 | 202 |
| 2 | TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models Hit paper breakdown → | 2023 | 134 |
| 3 | 2020 | 88 | |
| 4 | 2022 | 72 | |
| 5 | 2018 | 69 | |
| 6 | 2018 | 65 | |
| 7 | 2018 | 57 | |
| 8 | 2023 | 44 | |
| 9 | 2020 | 37 | |
| 10 | 2020 | 36 | |
| 11 | 2011 | 34 | |
| 12 | TableBank: Table Benchmark for Image-based Table Detection and Recognition | 2019 | 33 |
| 13 | 2019 | 33 | |
| 14 | 2021 | 29 | |
| 15 | 2016 | 23 | |
| 16 | 2021 | 23 | |
| 17 | 2020 | 22 | |
| 18 | 2022 | 20 | |
| 19 | 2022 | 18 | |
| 20 | 2021 | 16 |
About Lei Cui
Lei Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Media Technology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), COVID-19 diagnosis using AI (7 papers), Digital Imaging for Blood Diseases (6 papers), Handwritten Text Recognition Techniques (6 papers), Advanced Neural Network Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (626 citations), Artificial Intelligence (456 citations), Radiology, Nuclear Medicine and Imaging (187 citations), Media Technology (77 citations) and Health Informatics (7 citations). Lei Cui has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Furu Wei, Tengchao Lv, Yutong Lu, Yupan Huang, Jun Feng, Minghao Li, Zhoujun Li, Yiheng Xu, Cha Zhang and Lin Yang. Their work appears in journals such as BMC Bioinformatics, Pattern Recognition, Pattern Recognition Letters, British Journal of Oral and Maxillofacial Surgery and Multimedia Tools and Applications.
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.