Yi Zhu
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Biomedical Engineering
- Co-authors
- Chunming QiaoLü SuChenglin MiaoShawn NewsamXingjian ShiMatías MendietaChen ChenXinhe Chen
- Topics
- Natural Language Processing Techniques (17 papers)Topic Modeling (15 papers)Multimodal Machine Learning Applications (9 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaPhysical review. B, Condensed matter
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Zhu
63 papers receiving 698 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 260
- Electrical and Electronic Engineering 219
- Computer Vision and Pattern Recognition 124
- Materials Chemistry 83
- Biomedical Engineering 74
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 of co-authors of Yi Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Yi Zhu. A scholar is included among the top collaborators of Yi Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi Zhu. Yi Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 0 | |
| 7 | 55 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines. | 2 |
| 17 | A Simple BERT-Based Approach for Lexical Simplification | 6 |
| 18 | Study on Short-term Climate Prediction Model of the Optimal Combination Forecasting | 2 |
| 19 | The study of Xindice in the application of EMR | 1 |
| 20 | 3 |
About Yi Zhu
Yi Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 75 papers that have together received 724 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (15 papers) and Multimodal Machine Learning Applications (9 papers). The work is most often cited by research in Artificial Intelligence (260 citations), Acoustics and Ultrasonics (6 citations) and Computer Vision and Pattern Recognition (124 citations). Yi Zhu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunming Qiao, Lü Su, Chenglin Miao, Shawn Newsam, Xingjian Shi, Matías Mendieta, Chen Chen, Xinhe Chen, Hao Fu and Wanxiang Che. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.
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.