Fei Zhu
- Artificial Intelligence top 5%
- Civil and Structural Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Xu-Yao ZhangCheng‐Lin LiuQiang ZhouChuang WangFei YinFenglai WangJia ChengZhong Lin Wang
- Topics
- Optical Network Technologies (11 papers)Advanced Photonic Communication Systems (8 papers)Domain Adaptation and Few-Shot Learning (8 papers)
- Cited by
- Civil and Structural EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Fei Zhu
66 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 330
- Civil and Structural Engineering 294
- Biomedical Engineering 233
- Computer Vision and Pattern Recognition 219
- Electrical and Electronic Engineering 124
Countries citing papers authored by Fei Zhu
This map shows the geographic impact of Fei 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 Fei Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Zhu more than expected).
Fields of papers citing papers by Fei Zhu
This network shows the impact of papers produced by Fei 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 Fei Zhu. The network helps show where Fei Zhu may publish in the future.
Co-authorship network of co-authors of Fei Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Fei Zhu. A scholar is included among the top collaborators of Fei 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 Fei Zhu. Fei 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | Decoding lip language using triboelectric sensors with deep learningbreakdown → | 193 |
| 14 | Class-Incremental Learning via Dual Augmentation | 56 |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 28 | |
| 19 | 12 | |
| 20 | 5 |
About Fei Zhu
Fei Zhu is a scholar working on Metals and Alloys, Civil and Structural Engineering and Aging, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optical Network Technologies (11 papers), Advanced Photonic Communication Systems (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Civil and Structural Engineering (294 citations), Computer Vision and Pattern Recognition (219 citations) and Artificial Intelligence (330 citations). Fei Zhu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xu-Yao Zhang, Cheng‐Lin Liu, Qiang Zhou, Chuang Wang, Fei Yin, Fenglai Wang, Jia Cheng, Zhong Lin Wang, Yijia Lu and Bin Liu. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.