D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 36 Citations 4,890 172 World Ranking 3235 National Ranking 39

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Optics
  • Computer vision

Xin Yuan mainly focuses on Artificial intelligence, Computer vision, Compressed sensing, Hyperspectral imaging and Optics. His Artificial intelligence study typically links adjacent topics like Pattern recognition. His research in the fields of Undersampling overlaps with other disciplines such as Snapshot.

The various areas that Xin Yuan examines in his Compressed sensing study include Mixture model and Video camera. His Hyperspectral imaging research incorporates elements of Total variation minimization, Image, Projection and Phase modulation. His Temporal resolution and Polarization study in the realm of Optics connects with subjects such as Diversity methods.

His most cited work include:

  • Variational autoencoder for deep learning of images, labels and captions (220 citations)
  • Coded aperture compressive temporal imaging (212 citations)
  • Video compressive sensing using Gaussian mixture models. (135 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Compressed sensing, Computer vision, Algorithm and Optics. His Artificial intelligence study combines topics in areas such as Detector and Pattern recognition. His Compressed sensing research includes elements of Inverse problem, Combinatorics, Iterative method, Image restoration and Video camera.

His studies in Computer vision integrate themes in fields like Hyperspectral imaging, Aperture and Coded aperture. His Algorithm research is multidisciplinary, incorporating perspectives in Direction finding, Signal, Image compression and Rank. His work in the fields of Optics, such as Polarization, Image resolution, Temporal resolution and Frame rate, overlaps with other areas such as Dipole.

He most often published in these fields:

  • Artificial intelligence (53.26%)
  • Compressed sensing (32.61%)
  • Computer vision (30.43%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (53.26%)
  • Algorithm (22.28%)
  • Snapshot (12.50%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Artificial intelligence, Algorithm, Snapshot, Image restoration and Compressed sensing. His work carried out in the field of Artificial intelligence brings together such families of science as Detector, Computer vision and Pattern recognition. His Computer vision study incorporates themes from Deconvolution and Computation.

His research integrates issues of Pixel, Communication channel, Synchronization, Image compression and Iterative reconstruction in his study of Algorithm. His study in Image restoration is interdisciplinary in nature, drawing from both Inpainting, Sparse approximation, Deblocking filter and Rank. His research in Compressed sensing intersects with topics in Inverse problem, Projection, Zero, Grayscale and Neural coding.

Between 2019 and 2021, his most popular works were:

  • Deep learning for video compressive sensing (27 citations)
  • Snapshot spatial-temporal compressive imaging (19 citations)
  • From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration (18 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Optics
  • Algorithm

His main research concerns Artificial intelligence, Algorithm, Snapshot, Iterative reconstruction and Deep learning. His work deals with themes such as Computer vision and Pattern recognition, which intersect with Artificial intelligence. Many of his studies on Computer vision involve topics that are commonly interrelated, such as Optics.

The Algorithm study combines topics in areas such as Non-line-of-sight propagation, Probabilistic logic, Image compression and Bayesian probability. The various areas that he examines in his Deep learning study include Hyperspectral imaging and Detector. His Detector research is multidisciplinary, relying on both Coding, Convolutional neural network, Inverse problem and Synthetic data.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Coded aperture compressive temporal imaging

Patrick Llull;Xuejun Liao;Xin Yuan;Jianbo Yang.
Optics Express (2013)

238 Citations

Fractional optical vortex beam induced rotation of particles

S. H. Tao;X. C. Yuan;J. Lin;X. Peng.
Optics Express (2005)

224 Citations

Video compressive sensing using Gaussian mixture models.

Jianbo Yang;Xin Yuan;Xuejun Liao;Patrick Llull.
IEEE Transactions on Image Processing (2014)

170 Citations

Variational autoencoder for deep learning of images, labels and captions

Yunchen Pu;Zhe Gan;Ricardo Henao;Xin Yuan.
neural information processing systems (2016)

167 Citations

Optical vortex beam shaping by use of highly efficient irregular spiral phase plates for optical micromanipulation.

W. M. Lee;X.-C. Yuan;W. C. Cheong.
Optics Letters (2004)

158 Citations

“Vector Cross-Product Direction-Finding” With an Electromagnetic Vector-Sensor of Six Orthogonally Oriented But Spatially Noncollocating Dipoles/Loops

Kainam Thomas Wong;Xin Yuan.
IEEE Transactions on Signal Processing (2011)

150 Citations

Compressive Hyperspectral Imaging With Side Information

Xin Yuan;Tsung-Han Tsai;Ruoyu Zhu;Patrick Llull.
IEEE Journal of Selected Topics in Signal Processing (2015)

137 Citations

Compressive Sensing by Learning a Gaussian Mixture Model From Measurements

Jianbo Yang;Xuejun Liao;Xin Yuan;Patrick Llull.
IEEE Transactions on Image Processing (2015)

136 Citations

Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world

Xun Cao;Tao Yue;Xing Lin;Stephen Lin.
IEEE Signal Processing Magazine (2016)

129 Citations

Generating radial or azimuthal polarization by axial sampling of circularly polarized vortex beams.

K. J. Moh;X.-C. Yuan;J. Bu;R. E. Burge.
Applied Optics (2007)

121 Citations

Best Scientists Citing Xin Yuan

Lawrence Carin

Lawrence Carin

King Abdullah University of Science and Technology

Publications: 28

Gonzalo R. Arce

Gonzalo R. Arce

University of Delaware

Publications: 23

Nigel D. Browning

Nigel D. Browning

University of Liverpool

Publications: 20

Zhe Gan

Zhe Gan

Microsoft (United States)

Publications: 16

Christopher W. Woods

Christopher W. Woods

Duke University

Publications: 14

Aswin C. Sankaranarayanan

Aswin C. Sankaranarayanan

Carnegie Mellon University

Publications: 14

David J. Brady

David J. Brady

University of Arizona

Publications: 14

Milivoj R. Belić

Milivoj R. Belić

Texas A&M University at Qatar

Publications: 13

Ashok Veeraraghavan

Ashok Veeraraghavan

Rice University

Publications: 11

Aggelos K. Katsaggelos

Aggelos K. Katsaggelos

Northwestern University

Publications: 10

Adrian Stern

Adrian Stern

Ben-Gurion University of the Negev

Publications: 9

Chunyuan Li

Chunyuan Li

Microsoft (United States)

Publications: 9

Qian Du

Qian Du

Mississippi State University

Publications: 8

Wieslaw Krolikowski

Wieslaw Krolikowski

Australian National University

Publications: 8

Andrew Forbes

Andrew Forbes

Monash University

Publications: 8

Richard G. Baraniuk

Richard G. Baraniuk

Rice University

Publications: 8

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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