Zhaofei Yu
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 2%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Tiejun HuangYonghong TianTimothée MasquelierYanqi ChenPenglin DaiJianhao DingHuanlai XingWei Fang
- Topics
- Neural dynamics and brain function (41 papers)Advanced Memory and Neural Computing (40 papers)CCD and CMOS Imaging Sensors (14 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Zhaofei Yu
86 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Electrical and Electronic Engineering 1.1k
- Cognitive Neuroscience 689
- Artificial Intelligence 511
- Computer Networks and Communications 342
- Computer Vision and Pattern Recognition 268
Countries citing papers authored by Zhaofei Yu
This map shows the geographic impact of Zhaofei Yu'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 Zhaofei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaofei Yu more than expected).
Fields of papers citing papers by Zhaofei Yu
This network shows the impact of papers produced by Zhaofei Yu. 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 Zhaofei Yu. The network helps show where Zhaofei Yu may publish in the future.
Co-authorship network of co-authors of Zhaofei Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaofei Yu. A scholar is included among the top collaborators of Zhaofei Yu 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 Zhaofei Yu. Zhaofei Yu 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 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligencebreakdown → | 159 |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 23 | |
| 16 | 7 | |
| 17 | 50 | |
| 18 | Noise helps optimization escape from saddle points in the neural dynamics. | 1 |
| 19 | 6 | |
| 20 | 0 |
About Zhaofei Yu
Zhaofei Yu is a scholar working on Acoustics and Ultrasonics, Cognitive Neuroscience and Media Technology, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (41 papers), Advanced Memory and Neural Computing (40 papers) and CCD and CMOS Imaging Sensors (14 papers). The work is most often cited by research in Cognitive Neuroscience (689 citations), Acoustics and Ultrasonics (22 citations) and Electrical and Electronic Engineering (1.1k citations). Zhaofei Yu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tiejun Huang, Yonghong Tian, Timothée Masquelier, Yanqi Chen, Penglin Dai, Jianhao Ding, Huanlai Xing, Wei Fang, Xiao Wu and Jian K. Liu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.