H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 70 Citations 18,591 604 World Ranking 838 National Ranking 71

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Image processing. His Artificial intelligence research integrates issues from Sketch and Machine learning. The various areas that he examines in his Pattern recognition study include Embedding and Histogram, Image.

The Computer vision study combines topics in areas such as Distortion and Robustness. His biological study spans a wide range of topics, including Pixel and Algorithm. Xinbo Gao interconnects Image resolution, Regularization and Convolutional neural network in the investigation of issues within Iterative reconstruction.

His most cited work include:

  • A survey of graph edit distance (448 citations)
  • Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression (344 citations)
  • Ordinal Regression with Multiple Output CNN for Age Estimation (294 citations)

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

Xinbo Gao spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Image and Feature extraction. His Artificial intelligence study frequently draws connections to other fields, such as Machine learning. His work carried out in the field of Pattern recognition brings together such families of science as Deep learning, Representation and Cluster analysis.

His research integrates issues of Algorithm and Data mining in his study of Cluster analysis. He combines topics linked to Robustness with his work on Computer vision. His Image quality study incorporates themes from Distortion, Metric and Human visual system model.

He most often published in these fields:

  • Artificial intelligence (81.03%)
  • Pattern recognition (49.59%)
  • Computer vision (30.89%)

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

  • Artificial intelligence (81.03%)
  • Pattern recognition (49.59%)
  • Image (18.16%)

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

Xinbo Gao mainly focuses on Artificial intelligence, Pattern recognition, Image, Convolutional neural network and Feature. Much of his study explores Artificial intelligence relationship to Computer vision. His Pattern recognition research includes themes of Image quality and Cluster analysis.

His Image research focuses on Code and how it relates to Pixel. His Convolutional neural network research integrates issues from Motion estimation and Function. His study in Feature is interdisciplinary in nature, drawing from both Channel and Computation.

Between 2019 and 2021, his most popular works were:

  • Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution (60 citations)
  • AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results (20 citations)
  • Neural Probabilistic Graphical Model for Face Sketch Synthesis (17 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Image, Computer vision and Artificial neural network. His studies link Task with Artificial intelligence. His research in Pattern recognition intersects with topics in Image quality, Pixel, Feature and Metric.

The study incorporates disciplines such as Generator, Focus, Representation and Benchmark in addition to Image. His Computer vision research is multidisciplinary, incorporating perspectives in Sketch, Weighting and Robustness. His research on Artificial neural network also deals with topics like

  • Adversarial system, which have a strong connection to Iterative method, Entropy and Theoretical computer science,
  • Modality, which have a strong connection to Constraint, Missing data and Generalization.

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.

Top Publications

A survey of graph edit distance

Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li.
Pattern Analysis and Applications (2010)

627 Citations

Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression

Kaibing Zhang;Xinbo Gao;Dacheng Tao;Xuelong Li.
IEEE Transactions on Image Processing (2012)

398 Citations

Ordinal Regression with Multiple Output CNN for Age Estimation

Zhenxing Niu;Mo Zhou;Le Wang;Xinbo Gao.
computer vision and pattern recognition (2016)

348 Citations

A multi-frame image super-resolution method

Xuelong Li;Yanting Hu;Xinbo Gao;Dacheng Tao.
Signal Processing (2010)

287 Citations

A Comprehensive Survey to Face Hallucination

Nannan Wang;Dacheng Tao;Xinbo Gao;Xuelong Li.
International Journal of Computer Vision (2014)

285 Citations

Image Quality Assessment Based on Multiscale Geometric Analysis

Xinbo Gao;Wen Lu;Dacheng Tao;Xuelong Li.
IEEE Transactions on Image Processing (2009)

279 Citations

Image Super-Resolution With Sparse Neighbor Embedding

Xinbo Gao;Kaibing Zhang;Dacheng Tao;Xuelong Li.
IEEE Transactions on Image Processing (2012)

271 Citations

Semi-Supervised Nonnegative Matrix Factorization via Constraint Propagation

Di Wang;Xinbo Gao;Xiumei Wang.
IEEE Transactions on Systems, Man, and Cybernetics (2016)

269 Citations

Blind Image Quality Assessment via Deep Learning

Weilong Hou;Xinbo Gao;Dacheng Tao;Xuelong Li.
IEEE Transactions on Neural Networks (2015)

256 Citations

Spectrum Sharing in Cognitive Radio Networks—An Auction-Based Approach

Xinbing Wang;Zheng Li;Pengchao Xu;Youyun Xu.
systems man and cybernetics (2010)

252 Citations

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

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