Vincent Q. Vu
- Statistics and Probability top 5%
- Artificial Intelligence
- Computational Mechanics
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- Jing LeiBin YuRobert E. KassKarl RoheJuhee ChoStephan EidenbenzGuanhua YanNicolas Hengartner
- Topics
- Neural dynamics and brain function (5 papers)Sparse and Compressive Sensing Techniques (2 papers)Neural Networks and Applications (2 papers)
- Partner nations
- United StatesVietnam
In The Last Decade
Vincent Q. Vu
12 papers receiving 261 citations
Peers
Comparison fields: 5 of 66
- Statistics and Probability 70
- Artificial Intelligence 67
- Computational Mechanics 61
- Signal Processing 60
- Computer Networks and Communications 53
Countries citing papers authored by Vincent Q. Vu
This map shows the geographic impact of Vincent Q. Vu'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 Vincent Q. Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Q. Vu more than expected).
Fields of papers citing papers by Vincent Q. Vu
This network shows the impact of papers produced by Vincent Q. Vu. 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 Vincent Q. Vu. The network helps show where Vincent Q. Vu may publish in the future.
Co-authorship network of co-authors of Vincent Q. Vu
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Q. Vu. A scholar is included among the top collaborators of Vincent Q. Vu 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 Vincent Q. Vu. Vincent Q. Vu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | Management of radiation-induced ulcers by singlestage reconstructive surgery: a prospective study. | 2 |
| 4 | 65 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA | 57 |
| 8 | 22 | |
| 9 | 0 | |
| 10 | Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images | 3 |
| 11 | 12 | |
| 12 | 36 | |
| 13 | 44 |
About Vincent Q. Vu
Vincent Q. Vu is a scholar working on Cognitive Neuroscience, Statistics and Probability and Statistical and Nonlinear Physics, having authored 13 papers that have together received 268 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Statistics and Probability (70 citations) and Signal Processing (60 citations). Vincent Q. Vu has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Jing Lei, Bin Yu, Robert E. Kass, Karl Rohe, Juhee Cho, Stephan Eidenbenz, Guanhua Yan, Nicolas Hengartner, Jack L. Gallant and Pradeep Ravikumar. Their work appears in journals such as Statistics in Medicine, Neural Computation and The Annals of Applied Statistics.
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.