Vincent Q. Vu

637 total citations
13 papers, 268 citations indexed

About

Vincent Q. Vu is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vincent Q. Vu has authored 13 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vincent Q. Vu's work include Neural dynamics and brain function (5 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (2 papers). Vincent Q. Vu is often cited by papers focused on Neural dynamics and brain function (5 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (2 papers). Vincent Q. Vu collaborates with scholars based in United States and Vietnam. Vincent Q. Vu's 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 and has published in prestigious journals such as Statistics in Medicine, Neural Computation and The Annals of Applied Statistics.

In The Last Decade

Vincent Q. Vu

12 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vincent Q. Vu United States	7	70	67	61	60	53	13	268
Émile Richard United States	8	36 0.5×	55 0.8×	99 1.6×	44 0.7×	12 0.2×	12	272
Kaizheng Wang United States	4	83 1.2×	60 0.9×	98 1.6×	40 0.7×	19 0.4×	7	255
Kazuho Watanabe Japan	9	42 0.6×	155 2.3×	23 0.4×	39 0.7×	12 0.2×	53	251
Mohamed Hebiri France	7	96 1.4×	70 1.0×	65 1.1×	16 0.3×	8 0.2×	13	242
Antony Joseph United States	8	15 0.2×	77 1.1×	53 0.9×	27 0.5×	104 2.0×	14	297
Nengfeng Zhou United States	5	200 2.9×	141 2.1×	34 0.6×	25 0.4×	18 0.3×	6	536
Zhao Ren United States	10	303 4.3×	150 2.2×	74 1.2×	57 0.9×	14 0.3×	25	529
Namgil Lee South Korea	9	11 0.2×	35 0.5×	42 0.7×	29 0.5×	12 0.2×	23	226
Abhishek Bhattacharya India	8	20 0.3×	64 1.0×	9 0.1×	37 0.6×	37 0.7×	14	180

Countries citing papers authored by Vincent Q. Vu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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13 of 13 papers shown

Vu, Vincent Q., et al.. (2022). Cost-Effectiveness Analysis of Atezolizumab Versus Durvalumab as First-Line Treatment of Extensive-Stage Small-Cell Lung Cancer in the USA. Clinical Drug Investigation. 42(6). 491–500. 15 indexed citations

Vu, Vincent Q. & Jing Lei. (2019). Squared-norm empirical processes. Statistics & Probability Letters. 150. 108–113. 1 indexed citations

Vu, Vincent Q., et al.. (2019). Management of radiation-induced ulcers by singlestage reconstructive surgery: a prospective study.. PubMed. 32(4). 294–300. 2 indexed citations

Vu, Vincent Q. & Jing Lei. (2018). Minimax Sparse Principal Subspace Estimation in High Dimensions. Figshare. 65 indexed citations

Oustimov, Andrew & Vincent Q. Vu. (2014). Artificial neural networks in the cancer genomics frontier. Translational Cancer Research. 3(3). 191–201. 5 indexed citations

Vu, Vincent Q., et al.. (2014). A multivariate Gaussian process factor model for hand shape during reach-to-grasp movements. Statistica Sinica. 25(1). 5–24. 6 indexed citations

Vu, Vincent Q., Juhee Cho, Jing Lei, & Karl Rohe. (2013). Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA. Neural Information Processing Systems. 26. 2670–2678. 57 indexed citations

Vu, Vincent Q., Pradeep Ravikumar, Thomas Naselaris, et al.. (2011). Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models. The Annals of Applied Statistics. 5(2B). 1159–1182. 22 indexed citations

Vu, Vincent Q., Bin Yu, & Robert E. Kass. (2009). Some statistical issues in estimating information in neural spike trains. 10. 3509–3512.

10.

Vu, Vincent Q., Bin Yu, Thomas Naselaris, et al.. (2008). Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images. Neural Information Processing Systems. 21. 1337–1344. 3 indexed citations

11.

Vu, Vincent Q., Bin Yu, & Robert E. Kass. (2008). Information in the Nonstationary Case. Neural Computation. 21(3). 688–703. 12 indexed citations

12.

Vu, Vincent Q., Bin Yu, & Robert E. Kass. (2007). Coverage‐adjusted entropy estimation. Statistics in Medicine. 26(21). 4039–4060. 36 indexed citations

13.

Yan, Guanhua, et al.. (2007). Bluetooth worm propagation. 32–44. 44 indexed citations

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.

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