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 34 Citations 5,765 340 World Ranking 6458 National Ranking 281

Research.com Recognitions

Awards & Achievements

2008 - IEEE Fellow For contributions to image and multimedia signal processing

The Canadian Academy of Engineering

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary areas of investigation include Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Computer network. His study in Image processing, Image retrieval, Artificial neural network, Evolutionary computation and Image restoration is carried out as part of his studies in Artificial intelligence. His Pattern recognition study frequently links to other fields, such as Facial expression.

His study in the field of Biometrics, Median filter and Segmentation is also linked to topics like Boundary. His Feature extraction research is multidisciplinary, incorporating perspectives in Speech recognition, Facial recognition system, Wavelet transform, Discriminative model and Feature selection. The Resource allocation, Cache and Dynamic network analysis research Ling Guan does as part of his general Computer network study is frequently linked to other disciplines of science, such as Popularity, therefore creating a link between diverse domains of science.

His most cited work include:

  • Optimal Scheduling for Charging and Discharging of Electric Vehicles (506 citations)
  • A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films (308 citations)
  • Recognizing Human Emotional State From Audiovisual Signals (177 citations)

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

Ling Guan mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Artificial neural network. Ling Guan regularly links together related areas like Machine learning in his Artificial intelligence studies. His biological study spans a wide range of topics, including Facial recognition system, Image and Feature.

Computer vision is closely attributed to Adaptive filter in his work. Ling Guan interconnects Contextual image classification, Speech recognition, Wavelet transform and Pattern recognition in the investigation of issues within Feature extraction. His work on Information retrieval expands to the thematically related Image retrieval.

He most often published in these fields:

  • Artificial intelligence (65.14%)
  • Pattern recognition (37.61%)
  • Computer vision (31.65%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (65.14%)
  • Pattern recognition (37.61%)
  • Discriminative model (8.03%)

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

Ling Guan focuses on Artificial intelligence, Pattern recognition, Discriminative model, Feature extraction and Canonical correlation. His Artificial intelligence research incorporates themes from Machine learning and Computer vision. His work deals with themes such as Image and Representation, which intersect with Pattern recognition.

The concepts of his Discriminative model study are interwoven with issues in Quadtree, Speech recognition, Coding and Cognitive neuroscience of visual object recognition. His study in the field of Handwriting recognition also crosses realms of Set. His Canonical correlation research incorporates elements of Information fusion, Facial recognition system, Face and Data set.

Between 2015 and 2021, his most popular works were:

  • Discriminative Multiple Canonical Correlation Analysis for Information Fusion (34 citations)
  • Information Fusion for Human Action Recognition via Biset/Multiset Globality Locality Preserving Canonical Correlation Analysis (22 citations)
  • Forecasting day-ahead price spikes for the Ontario electricity market (22 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Ling Guan mostly deals with Artificial intelligence, Pattern recognition, Discriminative model, Canonical correlation and Feature extraction. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Graph and Computer vision. His work on Cave automatic virtual environment as part of general Computer vision research is frequently linked to Action recognition and Cave, bridging the gap between disciplines.

His work on Neural coding as part of general Pattern recognition study is frequently linked to Locality, therefore connecting diverse disciplines of science. His study explores the link between Discriminative model and topics such as Speech recognition that cross with problems in Multiview learning and Information fusion. His work investigates the relationship between Feature extraction and topics such as Representation that intersect with problems in Motion, Feature, Sample and Depth map.

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

Optimal Scheduling for Charging and Discharging of Electric Vehicles

Yifeng He;B. Venkatesh;Ling Guan.
IEEE Transactions on Smart Grid (2012)

731 Citations

A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films

Songyang Yu;Ling Guan.
IEEE Transactions on Medical Imaging (2000)

469 Citations

Recognizing Human Emotional State From Audiovisual Signals

Yongjin Wang;Ling Guan.
IEEE Transactions on Multimedia (2008)

296 Citations

Kernel Cross-Modal Factor Analysis for Information Fusion With Application to Bimodal Emotion Recognition

Yongjin Wang;Ling Guan;A. N. Venetsanopoulos.
IEEE Transactions on Multimedia (2012)

145 Citations

Image retrieval based on energy histograms of the low frequency DCT coefficients

J.A. Lay;Ling Guan.
international conference on acoustics speech and signal processing (1999)

141 Citations

Optimal resource allocation for multimedia cloud based on queuing model

Xiaoming Nan;Yifeng He;Ling Guan.
multimedia signal processing (2011)

138 Citations

An interactive approach for CBIR using a network of radial basis functions

P. Muneesawang;Ling Guan.
IEEE Transactions on Multimedia (2004)

137 Citations

A neural network approach for human emotion recognition in speech

M.W. Bhatti;Yongjin Wang;Ling Guan.
international symposium on circuits and systems (2004)

137 Citations

Quantifying and recognizing human movement patterns from monocular video Images-part I: a new framework for modeling human motion

R.D. Green;Ling Guan.
IEEE Transactions on Circuits and Systems for Video Technology (2004)

134 Citations

Appliance Scheduling Optimization in Smart Home Networks

F. A. Qayyum;M. Naeem;A. S. Khwaja;A. Anpalagan.
IEEE Access (2015)

129 Citations

Best Scientists Citing Ling Guan

Krzysztof Cpałka

Krzysztof Cpałka

Częstochowa University of Technology

Publications: 20

Yongyi Yang

Yongyi Yang

Illinois Institute of Technology

Publications: 14

Ioannis Pitas

Ioannis Pitas

Aristotle University of Thessaloniki

Publications: 14

Nikolas P. Galatsanos

Nikolas P. Galatsanos

University of Ioannina

Publications: 12

Gerald Schaefer

Gerald Schaefer

Loughborough University

Publications: 12

Nadeem Javaid

Nadeem Javaid

COMSATS University Islamabad

Publications: 12

Xiao-Yuan Jing

Xiao-Yuan Jing

Wuhan University

Publications: 12

Jose C. Principe

Jose C. Principe

University of Florida

Publications: 11

Sergio A. Velastin

Sergio A. Velastin

Queen Mary University of London

Publications: 11

Victor C. M. Leung

Victor C. M. Leung

University of British Columbia

Publications: 11

Alagan Anpalagan

Alagan Anpalagan

Ryerson University

Publications: 11

Mohamed S. Kamel

Mohamed S. Kamel

University of Waterloo

Publications: 10

Badong Chen

Badong Chen

Xi'an Jiaotong University

Publications: 10

Anastasios Tefas

Anastasios Tefas

Aristotle University of Thessaloniki

Publications: 9

Brijesh Verma

Brijesh Verma

Central Queensland University

Publications: 8

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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