H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 38 Citations 6,479 197 World Ranking 4966 National Ranking 463

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Feature extraction, Hyperspectral imaging and Computer vision. Artificial intelligence is closely attributed to Machine learning in his research. In Pattern recognition, Qi Wang works on issues like Cluster analysis, which are connected to Linear programming.

He has researched Feature extraction in several fields, including Semi-supervised learning, Perspective and Markov chain. His work carried out in the field of Hyperspectral imaging brings together such families of science as Image, Data mining, Support vector machine and Dimensionality reduction. His study in the field of Optical flow also crosses realms of Intelligent transportation system.

His most cited work include:

  • Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking (297 citations)
  • Scene Classification With Recurrent Attention of VHR Remote Sensing Images (163 citations)
  • Learning From Synthetic Data for Crowd Counting in the Wild (148 citations)

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

Qi Wang focuses on Artificial intelligence, Pattern recognition, Computer vision, Hyperspectral imaging and Image. Many of his studies on Artificial intelligence apply to Machine learning as well. His study in Pattern recognition is interdisciplinary in nature, drawing from both Similarity, Feature and Cluster analysis.

His Hyperspectral imaging research is multidisciplinary, incorporating elements of Spatial analysis, Multispectral image, Anomaly detection, Support vector machine and Iterative reconstruction. His studies deal with areas such as Remote sensing, Representation and Constraint as well as Image. He combines subjects such as Feature selection and Data set with his study of Feature extraction.

He most often published in these fields:

  • Artificial intelligence (66.32%)
  • Pattern recognition (34.74%)
  • Computer vision (21.75%)

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

  • Artificial intelligence (66.32%)
  • Pattern recognition (34.74%)
  • Image (15.09%)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Image, Computer vision and Hyperspectral imaging. The Artificial intelligence study combines topics in areas such as Focus and Machine learning. His Pattern recognition study combines topics from a wide range of disciplines, such as RGB color model, Similarity, Feature and Cluster analysis.

His Image research includes elements of Remote sensing and Convolutional neural network. When carried out as part of a general Computer vision research project, his work on Optical flow and Object is frequently linked to work in License, therefore connecting diverse disciplines of study. Qi Wang focuses mostly in the field of Hyperspectral imaging, narrowing it down to topics relating to Multispectral image and, in certain cases, Image fusion and Image resolution.

Between 2019 and 2021, his most popular works were:

  • Detecting Coherent Groups in Crowd Scenes by Multiview Clustering (143 citations)
  • PCC Net: Perspective Crowd Counting via Spatial Convolutional Network (47 citations)
  • NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization. (35 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His primary areas of investigation include Artificial intelligence, Pattern recognition, Algorithm, Machine learning and Hyperspectral imaging. As part of his studies on Artificial intelligence, Qi Wang often connects relevant subjects like Focus. His work in the fields of Feature learning overlaps with other areas such as Electronic mail.

His Algorithm research focuses on Robustness and how it relates to Crowds, Consistency, Anomaly detection and Motion detection. His Machine learning research includes themes of Object, Energy and Generalization. He has included themes like Data processing, Multispectral image, Redundancy and Spectral bands in his Hyperspectral imaging study.

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

Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking

Qi Wang;Jianzhe Lin;Yuan Yuan.
IEEE Transactions on Neural Networks (2016)

347 Citations

Scene Classification With Recurrent Attention of VHR Remote Sensing Images

Qi Wang;Shaoteng Liu;Jocelyn Chanussot;Xuelong Li.
IEEE Transactions on Geoscience and Remote Sensing (2019)

211 Citations

Detecting Coherent Groups in Crowd Scenes by Multiview Clustering

Qi Wang;Mulin Chen;Feiping Nie;Xuelong Li.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)

203 Citations

Embedding structured contour and location prior in siamesed fully convolutional networks for road detection

Junyu Gao;Qi Wang;Yuan Yuan.
international conference on robotics and automation (2017)

191 Citations

Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

Qi Wang;Junyu Gao;Yuan Yuan.
IEEE Transactions on Intelligent Transportation Systems (2018)

188 Citations

GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li.
IEEE Transactions on Geoscience and Remote Sensing (2019)

166 Citations

Optimal Clustering Framework for Hyperspectral Band Selection

Qi Wang;Fahong Zhang;Xuelong Li.
IEEE Transactions on Geoscience and Remote Sensing (2018)

166 Citations

Online Anomaly Detection in Crowd Scenes via Structure Analysis

Yuan Yuan;Jianwu Fang;Qi Wang.
IEEE Transactions on Systems, Man, and Cybernetics (2015)

159 Citations

Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization

Yuan Yuan;Jianzhe Lin;Qi Wang.
IEEE Transactions on Systems, Man, and Cybernetics (2016)

153 Citations

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection.

Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li.
arXiv: Computer Vision and Pattern Recognition (2019)

152 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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