Jingfeng Wu
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Vladimir BravermanZhuolong YuMosharaf ChowdhuryXin JinZhenhua LiuXiao SunJinwen MaZhanxing Zhu
- Topics
- Sparse and Compressive Sensing Techniques (4 papers)Stochastic Gradient Optimization Techniques (4 papers)Interconnection Networks and Systems (2 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionHardware and Architecture
- Journals
- Software Practice and ExperienceePrints Soton (University of Southampton)arXiv (Cornell University)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Jingfeng Wu
12 papers receiving 142 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 76
- Computer Vision and Pattern Recognition 38
- Information Systems 35
- Artificial Intelligence 34
- Electrical and Electronic Engineering 20
Countries citing papers authored by Jingfeng Wu
This map shows the geographic impact of Jingfeng Wu'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 Jingfeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingfeng Wu more than expected).
Fields of papers citing papers by Jingfeng Wu
This network shows the impact of papers produced by Jingfeng Wu. 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 Jingfeng Wu. The network helps show where Jingfeng Wu may publish in the future.
Co-authorship network of co-authors of Jingfeng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jingfeng Wu. A scholar is included among the top collaborators of Jingfeng Wu 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 Jingfeng Wu. Jingfeng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | The Benefits of Implicit Regularization from SGD in Least Squares Problems | 1 |
| 4 | 65 | |
| 5 | Twenty Years After: Hierarchical Core-Stateless Fair Queueing | 10 |
| 6 | Ship Compute or Ship Data? Why Not Both? | 2 |
| 7 | On the noisy gradient descent that generalizes as SGD | 1 |
| 8 | 3 | |
| 9 | 2 | |
| 10 | The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation. | 1 |
| 11 | 23 | |
| 12 | 33 | |
| 13 | 2 |
About Jingfeng Wu
Jingfeng Wu is a scholar working on Statistics and Probability, Computational Mechanics and Artificial Intelligence, having authored 13 papers that have together received 144 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (76 citations), Computer Vision and Pattern Recognition (38 citations) and Hardware and Architecture (11 citations). Jingfeng Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Vladimir Braverman, Zhuolong Yu, Mosharaf Chowdhury, Xin Jin, Zhenhua Liu, Xiao Sun, Jinwen Ma, Zhanxing Zhu, Bing Yu and Sen Wang. Their work appears in journals such as Software Practice and Experience, ePrints Soton (University of Southampton) and arXiv (Cornell University).
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.