H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 53 Citations 13,118 214 World Ranking 2437 National Ranking 65

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Contextual image classification, Remote sensing and Support vector machine. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Computer vision. As part of the same scientific family, he usually focuses on Pattern recognition, concentrating on Kernel and intersecting with Feature vector.

Devis Tuia combines subjects such as Image segmentation, Hyperspectral imaging, Image fusion and Heuristics with his study of Contextual image classification. Devis Tuia works on Remote sensing which deals in particular with Remote sensing. His research integrates issues of Entropy, Data mining, Feature selection and Change detection in his study of Support vector machine.

His most cited work include:

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources (893 citations)
  • Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods (466 citations)
  • Deep learning in remote sensing: a review (437 citations)

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

His primary areas of investigation include Artificial intelligence, Pattern recognition, Computer vision, Remote sensing and Contextual image classification. His work focuses on many connections between Artificial intelligence and other disciplines, such as Machine learning, that overlap with his field of interest in Scale. As part of one scientific family, he deals mainly with the area of Pattern recognition, narrowing it down to issues related to the Image resolution, and often Spatial analysis.

His Remote sensing study, which is part of a larger body of work in Remote sensing, is frequently linked to Field, bridging the gap between disciplines. His Contextual image classification study incorporates themes from Image segmentation, Training set, Image processing, Heuristics and Kernel method. In the subject of general Support vector machine, his work in Kernel is often linked to Active learning, thereby combining diverse domains of study.

He most often published in these fields:

  • Artificial intelligence (74.06%)
  • Pattern recognition (40.27%)
  • Computer vision (23.55%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (74.06%)
  • Machine learning (20.14%)
  • Convolutional neural network (16.38%)

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

Devis Tuia mainly investigates Artificial intelligence, Machine learning, Convolutional neural network, Deep learning and Image. He has researched Artificial intelligence in several fields, including Remote sensing, Remote sensing, Satellite imagery, Computer vision and Pattern recognition. His Pattern recognition research is multidisciplinary, incorporating elements of Aerial image, Feature, Artificial neural network, Regularization and Pixel.

His Machine learning study combines topics from a wide range of disciplines, such as Annotation, Pattern analysis, Hyperspectral imaging and Scale. His Convolutional neural network research integrates issues from Scale, Urban planning, Interpretability, Visualization and Data set. His biological study spans a wide range of topics, including Synthetic aperture radar, Bayesian optimization and Pruning.

Between 2018 and 2021, his most popular works were:

  • Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data. (30 citations)
  • Optimal Transport for Multi-source Domain Adaptation under Target Shift (30 citations)
  • Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution (30 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Devis Tuia spends much of his time researching Artificial intelligence, Convolutional neural network, Machine learning, Remote sensing and Image. His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition. His work in the fields of Computer vision, such as Object detection, overlaps with other areas such as Detector.

His Pattern recognition research includes elements of Normalization, Kernel and Data pre-processing. His Convolutional neural network study incorporates themes from Urban planning, Task analysis, Developing country, Visualization and Data set. Devis Tuia focuses mostly in the field of Remote sensing, narrowing it down to topics relating to Natural language and, in certain cases, Feature extraction and Knowledge extraction.

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

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia.
IEEE Geoscience and Remote Sensing Magazine (2017)

755 Citations

Deep learning in remote sensing: a review

Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia.
arXiv: Computer Vision and Pattern Recognition (2017)

679 Citations

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

Gustavo Camps-Valls;Devis Tuia;Lorenzo Bruzzone;Jon Atli Benediktsson.
IEEE Signal Processing Magazine (2014)

504 Citations

Active Learning Methods for Remote Sensing Image Classification

D. Tuia;F. Ratle;F. Pacifici;M.F. Kanevski.
IEEE Transactions on Geoscience and Remote Sensing (2009)

494 Citations

Optimal Transport for Domain Adaptation

Nicolas Courty;Remi Flamary;Devis Tuia;Alain Rakotomamonjy.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)

479 Citations

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Devis Tuia;Michele Volpi;Loris Copa;Mikhail Kanevski.
IEEE Journal of Selected Topics in Signal Processing (2011)

445 Citations

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

Michele Volpi;Devis Tuia.
IEEE Transactions on Geoscience and Remote Sensing (2017)

358 Citations

Learning Relevant Image Features With Multiple-Kernel Classification

Devis Tuia;Gustavo Camps-Valls;Giona Matasci;Mikhail Kanevski.
IEEE Transactions on Geoscience and Remote Sensing (2010)

230 Citations

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Ilke Demir;Krzysztof Koperski;David Lindenbaum;Guan Pang.
computer vision and pattern recognition (2018)

227 Citations

Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

Devis Tuia;Claudio Persello;Lorenzo Bruzzone.
IEEE Geoscience and Remote Sensing Magazine (2016)

222 Citations

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Best Scientists Citing Devis Tuia

Xiao Xiang Zhu

Xiao Xiang Zhu

German Aerospace Center

Publications: 121

Liangpei Zhang

Liangpei Zhang

Wuhan University

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Antonio Plaza

Antonio Plaza

University of Extremadura

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Jun Li

Jun Li

Sun Yat-sen University

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Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

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Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland

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Lorenzo Bruzzone

Lorenzo Bruzzone

University of Trento

Publications: 62

Qian Du

Qian Du

Mississippi State University

Publications: 51

Gustau Camps-Valls

Gustau Camps-Valls

University of Valencia

Publications: 42

Peijun Du

Peijun Du

Ministry of Natural Resources and Forestry

Publications: 40

Pedram Ghamisi

Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf

Publications: 38

Gui-Song Xia

Gui-Song Xia

Wuhan University

Publications: 35

Xin Huang

Xin Huang

Chinese Academy of Sciences

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Licheng Jiao

Licheng Jiao

Xidian University

Publications: 32

Yanfei Zhong

Yanfei Zhong

Wuhan University

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Bo Du

Bo Du

Wuhan University

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