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
Computer Science D-index 30 Citations 3,712 165 World Ranking 8747 National Ranking 245

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Jun Zhou mostly deals with Artificial intelligence, Pattern recognition, Hyperspectral imaging, Feature extraction and Computer vision. His work blends Artificial intelligence and Feature hashing studies together. His work deals with themes such as Image processing, Pixel and Multispectral image, which intersect with Pattern recognition.

In his study, Image resolution, Difference of Gaussians and Scale space is inextricably linked to Scale-invariant feature transform, which falls within the broad field of Image processing. In his study, Neural coding and Gaussian noise is strongly linked to Sparse approximation, which falls under the umbrella field of Hyperspectral imaging. His Feature extraction research is multidisciplinary, relying on both Object detection and Remote sensing application.

His most cited work include:

  • Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization (335 citations)
  • Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features (238 citations)
  • MILIS: Multiple Instance Learning with Instance Selection (151 citations)

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

Jun Zhou focuses on Artificial intelligence, Pattern recognition, Hyperspectral imaging, Computer vision and Feature extraction. Jun Zhou focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, Embedding. His Pattern recognition research incorporates themes from Contextual image classification, Image and Deep learning.

His Hyperspectral imaging study incorporates themes from Spatial analysis and Grayscale. Jun Zhou interconnects Salient and Pattern recognition in the investigation of issues within Computer vision. His studies deal with areas such as Lidar, Image segmentation and Feature vector as well as Feature extraction.

He most often published in these fields:

  • Artificial intelligence (80.27%)
  • Pattern recognition (59.19%)
  • Hyperspectral imaging (45.29%)

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

  • Artificial intelligence (80.27%)
  • Pattern recognition (59.19%)
  • Hyperspectral imaging (45.29%)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Hyperspectral imaging, Deep learning and Feature. His work in Artificial intelligence covers topics such as Computer vision which are related to areas like Chromatic scale. He works mostly in the field of Pattern recognition, limiting it down to concerns involving Cluster analysis and, occasionally, Image retrieval and k-nearest neighbors algorithm.

His biological study spans a wide range of topics, including Pixel and Linear discriminant analysis. His Deep learning research is multidisciplinary, incorporating perspectives in Stereopsis, Real image, Bilinear interpolation and Image warping. Jun Zhou has included themes like Object, Tracking and Video tracking in his Feature study.

Between 2019 and 2021, his most popular works were:

  • Learning binary code for fast nearest subspace search (28 citations)
  • Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals (13 citations)
  • Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification (11 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Jun Zhou mainly investigates Artificial intelligence, Pattern recognition, Hyperspectral imaging, Subspace topology and Feature. His Artificial intelligence study frequently draws connections to other fields, such as Machine learning. His Pattern recognition research incorporates elements of Stereopsis, Computer graphics and Image warping.

In Hyperspectral imaging, he works on issues like Pixel, which are connected to Graph. His Subspace topology research includes themes of Cluster analysis, Curse of dimensionality, Image retrieval and k-nearest neighbors algorithm. In his research, Histogram and Tracking is intimately related to Object, which falls under the overarching field of Feature.

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

Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization

Yuntao Qian;Sen Jia;Jun Zhou;A. Robles-Kelly.
IEEE Transactions on Geoscience and Remote Sensing (2011)

456 Citations

Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features

Yuntao Qian;Minchao Ye;Jun Zhou.
IEEE Transactions on Geoscience and Remote Sensing (2013)

320 Citations

MILIS: Multiple Instance Learning with Instance Selection

Zhouyu Fu;A Robles-Kelly;Jun Zhou.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

212 Citations

Active droplet sorting in microfluidics: a review

Heng Dong Xi;Hao Zheng;Wei Guo;Alfonso M. Gañán-Calvo.
Lab on a Chip (2017)

170 Citations

VHR Object Detection Based on Structural Feature Extraction and Query Expansion

Xiao Bai;Huigang Zhang;Jun Zhou.
IEEE Transactions on Geoscience and Remote Sensing (2014)

121 Citations

Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral–Spatial Hyperspectral Imagery Denoising

Minchao Ye;Yuntao Qian;Jun Zhou.
IEEE Transactions on Geoscience and Remote Sensing (2015)

113 Citations

Road tracking in aerial images based on human–computer interaction and Bayesian filtering

Jun Zhou;Walter F. Bischof;Terry Caelli.
Isprs Journal of Photogrammetry and Remote Sensing (2006)

108 Citations

Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery

Yuntao Qian;Fengchao Xiong;Shan Zeng;Jun Zhou.
IEEE Transactions on Geoscience and Remote Sensing (2017)

105 Citations

Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms

Gaurav Mitra;Beau Johnston;Alistair P. Rendell;Eric McCreath.
ieee international symposium on parallel & distributed processing, workshops and phd forum (2013)

101 Citations

Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images

Chen Wang;Xiao Bai;Shuai Wang;Jun Zhou.
IEEE Geoscience and Remote Sensing Letters (2019)

96 Citations

Best Scientists Citing Jun Zhou

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 39

Qian Du

Qian Du

Mississippi State University

Publications: 35

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 30

Antonio Plaza

Antonio Plaza

University of Extremadura

Publications: 26

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 24

Jun Li

Jun Li

Sun Yat-sen University

Publications: 22

Xiuping Jia

Xiuping Jia

UNSW Sydney

Publications: 17

Shutao Li

Shutao Li

Hunan University

Publications: 15

Zongben Xu

Zongben Xu

Xi'an Jiaotong University

Publications: 15

Johannes R. Sveinsson

Johannes R. Sveinsson

University of Iceland

Publications: 15

Yanfei Zhong

Yanfei Zhong

Wuhan University

Publications: 15

Ting-Zhu Huang

Ting-Zhu Huang

University of Electronic Science and Technology of China

Publications: 15

Xiao Xiang Zhu

Xiao Xiang Zhu

German Aerospace Center

Publications: 15

Yuan Yuan

Yuan Yuan

Huawei Technologies (China)

Publications: 14

Hongyan Zhang

Hongyan Zhang

Wuhan University

Publications: 14

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 14

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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