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 54 Citations 12,183 268 World Ranking 2232 National Ranking 223

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions in hyperspectral image processing

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Artificial intelligence
  • Internal medicine

His primary areas of study are Hyperspectral imaging, Artificial intelligence, Pattern recognition, Remote sensing and Pixel. His Hyperspectral imaging research incorporates themes from Spatial analysis, Data mining, Spectral signature, Support vector machine and Feature extraction. The concepts of his Artificial intelligence study are interwoven with issues in Algorithm design and Computer vision.

His Pattern recognition study combines topics from a wide range of disciplines, such as Contextual image classification, Machine learning and Imaging spectrometer. His research in Remote sensing intersects with topics in Moderate-resolution imaging spectroradiometer, Meteorology, Ice cloud and Atmospheric Infrared Sounder. His Pixel study combines topics in areas such as Anomaly detection and Noise.

His most cited work include:

  • Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields (475 citations)
  • Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning (373 citations)
  • Generalized Composite Kernel Framework for Hyperspectral Image Classification (359 citations)

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

Jun Li spends much of his time researching Hyperspectral imaging, Remote sensing, Artificial intelligence, Pattern recognition and Meteorology. His research investigates the connection between Hyperspectral imaging and topics such as Pixel that intersect with problems in Spectral signature. His biological study deals with issues like Atmospheric Infrared Sounder, which deal with fields such as Moderate-resolution imaging spectroradiometer.

His studies in Artificial intelligence integrate themes in fields like Machine learning and Computer vision. His Pattern recognition research is multidisciplinary, incorporating elements of Image, Spatial analysis and Multinomial logistic regression. His biological study spans a wide range of topics, including Atmospheric radiative transfer codes and Radiative transfer.

He most often published in these fields:

  • Hyperspectral imaging (32.32%)
  • Remote sensing (31.68%)
  • Artificial intelligence (26.56%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (26.56%)
  • Hyperspectral imaging (32.32%)
  • Pattern recognition (23.84%)

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

The scientist’s investigation covers issues in Artificial intelligence, Hyperspectral imaging, Pattern recognition, Remote sensing and Cancer research. His study involves Convolutional neural network, Feature extraction, Image resolution, Deep learning and Active learning, a branch of Artificial intelligence. Jun Li has included themes like Artificial neural network, Spectral signature, Spatial analysis and Support vector machine in his Hyperspectral imaging study.

His work investigates the relationship between Pattern recognition and topics such as Pixel that intersect with problems in Focus. The study incorporates disciplines such as Infrared and Geostationary orbit in addition to Remote sensing. Jun Li combines subjects such as Wnt signaling pathway, Catenin, Signal transduction, Downregulation and upregulation and Metastasis with his study of Cancer research.

Between 2017 and 2021, his most popular works were:

  • Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines (187 citations)
  • Capsule Networks for Hyperspectral Image Classification (86 citations)
  • Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach (85 citations)

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

  • Gene
  • Artificial intelligence
  • Internal medicine

His scientific interests lie mostly in Hyperspectral imaging, Artificial intelligence, Pattern recognition, Cancer research and Remote sensing. His Hyperspectral imaging research incorporates elements of Pixel, Feature extraction, Spatial analysis and Spectral signature. His research integrates issues of Machine learning, Visible near infrared and Unit-weighted regression in his study of Artificial intelligence.

His work deals with themes such as Artificial neural network, Contextual image classification, Hyperspectral image classification and Feature, which intersect with Pattern recognition. His Cancer research study incorporates themes from Wnt signaling pathway, Signal transduction, Downregulation and upregulation, Metastasis and Gene silencing. In general Remote sensing, his work in Remote sensing is often linked to Snapshot linking many areas of 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.

Best Publications

Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields

Jun Li;J. M. Bioucas-Dias;A. Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2012)

541 Citations

INTRODUCING THE NEXT-GENERATION ADVANCED BASELINE IMAGER ON GOES-R

Timothy J. Schmit;Mathew M. Gunshor;W. Paul Menzel;James J. Gurka.
Bulletin of the American Meteorological Society (2005)

465 Citations

Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

Jun Li;José M Bioucas-Dias;Antonio Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2010)

438 Citations

Generalized Composite Kernel Framework for Hyperspectral Image Classification

Jun Li;Prashanth Reddy Marpu;Antonio Plaza;Jose M. Bioucas-Dias.
IEEE Transactions on Geoscience and Remote Sensing (2013)

415 Citations

Minimum Volume Simplex Analysis: A Fast Algorithm to Unmix Hyperspectral Data

Jun Li;J.M. Bioucas-Dias.
international geoscience and remote sensing symposium (2008)

399 Citations

Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning

Jun Li;José M. Bioucas-Dias;Antonio Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2011)

376 Citations

Operational Retrieval of Atmospheric Temperature, Moisture, and Ozone from MODIS Infrared Radiances

Suzanne W. Seemann;Jun Li;W. Paul Menzel;Liam E. Gumley.
Journal of Applied Meteorology (2003)

351 Citations

Global Soundings of the Atmosphere from ATOVS Measurements: The Algorithm and Validation

Jun Li;Walter W. Wolf;W. Paul Menzel;Wenjian Zhang.
Journal of Applied Meteorology (2000)

312 Citations

Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing

Lei Zhang;Mengdao Xing;Cheng-Wei Qiu;Jun Li.
IEEE Transactions on Geoscience and Remote Sensing (2010)

304 Citations

Spectral–Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning

Jun Li;J. M. Bioucas-Dias;A. Plaza.
IEEE Transactions on Geoscience and Remote Sensing (2013)

282 Citations

Best Scientists Citing Jun Li

Qian Du

Qian Du

Mississippi State University

Publications: 105

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 95

Antonio Plaza

Antonio Plaza

University of Extremadura

Publications: 83

Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland

Publications: 77

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 77

Pedram Ghamisi

Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf

Publications: 75

Shutao Li

Shutao Li

Hunan University

Publications: 70

William L. Smith

William L. Smith

Langley Research Center

Publications: 64

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 58

Xiuping Jia

Xiuping Jia

UNSW Sydney

Publications: 54

Wei Li

Wei Li

Chinese Academy of Sciences

Publications: 49

Hassan Ghassemian

Hassan Ghassemian

Tarbiat Modares University

Publications: 47

Bo Du

Bo Du

Wuhan University

Publications: 46

Ping Yang

Ping Yang

Texas A&M University

Publications: 43

Jose M. Bioucas-Dias

Jose M. Bioucas-Dias

Instituto Superior Técnico

Publications: 41

Peijun Du

Peijun Du

Ministry of Natural Resources and Forestry

Publications: 40

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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