Yi Zhu
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- Advanced Neural Network Applications 14
- Multimodal Machine Learning Applications 9
- Advanced Image and Video Retrieval Techniques 8
- Human Pose and Action Recognition 7
- Image Retrieval and Classification Techniques 6
- Generative Adversarial Networks and Image Synthesis 4
- Media Technology top 2%
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 11
- Anomaly Detection Techniques and Applications 6
- Signal Processing top 10%
Yi Zhu
48 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 1.3k
- Media Technology 234
- Artificial Intelligence 797
- Signal Processing 96
- Industrial and Manufacturing Engineering 82
Countries citing papers authored by Yi Zhu
This map shows the geographic impact of Yi Zhu'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 Yi Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Zhu more than expected).
Fields of papers citing papers by Yi Zhu
This network shows the impact of papers produced by Yi Zhu. 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 Yi Zhu. The network helps show where Yi Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yi Zhu, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 7 | |
| 5 | ResNeSt: Split-Attention Networksbreakdown → | 2022 | 629 |
| 6 | 2021 | 85 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 39 | |
| 9 | 2021 | 24 | |
| 10 | GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing | 2020 | 109 |
| 11 | 2019 | 177 | |
| 12 | Motion-Aware Feature for Improved Video Anomaly Detection. | 2019 | 4 |
| 13 | 2019 | 19 | |
| 14 | 2019 | 35 | |
| 15 | 2019 | 247 | |
| 16 | 2017 | 16 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 4 | |
| 19 | A user-oriented webpage ranking algorithm based on user attention time | 2008 | 13 |
| 20 | Editing and Exploring Topic Map-based E-Learning Repositories. | 2005 | 1 |
About Yi Zhu
Yi Zhu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Human Pose and Action Recognition (7 papers), Image Retrieval and Classification Techniques (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (234 citations) and Artificial Intelligence (797 citations). Yi Zhu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shawn Newsam, Mu Li, Hang Zhang, Tong He, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, R. Manmatha, Alexander J. Smola and Haibin Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Optics Express.
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.