Quan Cui
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
Papers in
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- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Handwritten Text Recognition Techniques 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Xiu-Shen Wei (3 shared papers)Boyan Zhou (1 shared paper)Renjie Song (1 shared paper)Yiyu Qiu (1 shared paper)Jiajun Liang (1 shared paper)Borui Zhao (1 shared paper)Jujie Wang (4 shared papers)Xin Sun (2 shared papers)
- Journals
- IEEE Transactions on Multimedia (2 papers)Neurocomputing (1 paper)Science China Information Sciences (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Journal of Cleaner Production (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Quan Cui
10 papers receiving 1.3k citations
Quan Cui's Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 519
- Artificial Intelligence 670
- Media Technology 69
- Management Science and Operations Research 97
- Signal Processing 52
Countries citing papers authored by Quan Cui
This map shows the geographic impact of Quan 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 Quan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Cui more than expected).
Fields of papers citing papers by Quan Cui
This network shows the impact of papers produced by Quan 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 Quan Cui. The network helps show where Quan Cui may publish in the future.
Co-authors
The 24 scholars most cited alongside Quan 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 | BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition Hit paper breakdown → | 2020 | 512 |
| 2 | Decoupled Knowledge Distillation Hit paper breakdown → | 2022 | 465 |
| 3 | 2020 | 137 | |
| 4 | 2022 | 59 | |
| 5 | 2021 | 56 | |
| 6 | 2020 | 20 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 0 |
About Quan Cui
Quan Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Economics and Econometrics, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Energy Load and Power Forecasting (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Handwritten Text Recognition Techniques (2 papers), Stock Market Forecasting Methods (2 papers), Advanced Neural Network Applications (2 papers) and Energy, Environment, Economic Growth (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (519 citations), Artificial Intelligence (670 citations), Media Technology (69 citations), Management Science and Operations Research (97 citations) and Signal Processing (52 citations). Quan Cui has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xiu-Shen Wei, Boyan Zhou, Renjie Song, Yiyu Qiu, Jiajun Liang, Borui Zhao, Jujie Wang, Xin Sun, Xin Sun and Osamu Yoshie. Their work appears in journals such as IEEE Transactions on Multimedia, Neurocomputing, Science China Information Sciences, Engineering Applications of Artificial Intelligence and Journal of Cleaner Production.
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.