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 50 Citations 9,928 280 World Ranking 2924 National Ranking 48

Research.com Recognitions

Awards & Achievements

2006 - IEEE Fellow For contributions to performance analysis systems and jammer suppression in communication systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Feature extraction, Feature and Computer vision. The Artificial intelligence study combines topics in areas such as Frame and Machine learning. His Pattern recognition research includes themes of Image quality and Fingerprint.

His study in Feature extraction is interdisciplinary in nature, drawing from both Artificial neural network, Facial recognition system and Hidden Markov model. His Feature study incorporates themes from Image segmentation, Digital image, Representation, Matching and Demosaicing. His Computer vision research incorporates elements of Distortion and Binary number.

His most cited work include:

  • Eigenfeature Regularization and Extraction in Face Recognition (281 citations)
  • Errata to “Nonlinear Dynamic System Identification Using Chebyshev Functional Link Artificial Neural Networks” (256 citations)
  • Global Context-Aware Attention LSTM Networks for 3D Action Recognition (247 citations)

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

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Algorithm. Within one scientific family, Alex C. Kot focuses on topics pertaining to Machine learning under Artificial intelligence, and may sometimes address concerns connected to Benchmark. His Pattern recognition study integrates concerns from other disciplines, such as Image processing, Image restoration, Facial recognition system and Fingerprint.

His Computer vision research is multidisciplinary, relying on both Distortion and Binary number. His biological study spans a wide range of topics, including Visualization, Feature, Discriminative model and Convolutional neural network. While the research belongs to areas of Algorithm, Alex C. Kot spends his time largely on the problem of Electronic engineering, intersecting his research to questions surrounding Communication channel.

He most often published in these fields:

  • Artificial intelligence (65.63%)
  • Pattern recognition (32.82%)
  • Computer vision (29.72%)

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

  • Artificial intelligence (65.63%)
  • Pattern recognition (32.82%)
  • Machine learning (10.53%)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Machine learning, Feature and Feature extraction. His work on Artificial intelligence is being expanded to include thematically relevant topics such as Computer vision. The various areas that Alex C. Kot examines in his Pattern recognition study include 3D pose estimation and Boosting.

His Machine learning research is multidisciplinary, incorporating perspectives in Adversarial system, Sample and Robustness. His Feature research includes elements of Motion, Representation, Matching, Feature learning and Generalization. His Feature extraction study combines topics in areas such as Visualization, Coding, Information retrieval and Hidden Markov model.

Between 2017 and 2021, his most popular works were:

  • Domain Generalization with Adversarial Feature Learning (244 citations)
  • Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification (234 citations)
  • Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks (212 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Feature extraction, Feature and Benchmark. His studies deal with areas such as Focus, Machine learning and Generalization as well as Artificial intelligence. Alex C. Kot combines subjects such as Image and Spoofing attack with his study of Pattern recognition.

In his study, Prior probability and Image processing is strongly linked to Content, which falls under the umbrella field of Image. His Feature extraction study combines topics from a wide range of disciplines, such as Distributed computing, Artificial neural network, Lossless compression, Visualization and Hidden Markov model. His Feature research integrates issues from Matching, Regularization, Representation and Training set.

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

Eigenfeature Regularization and Extraction in Face Recognition

Xudong Jiang;B. Mandal;A. Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

380 Citations

Global Context-Aware Attention LSTM Networks for 3D Action Recognition

Jun Liu;Gang Wang;Ping Hu;Ling-Yu Duan.
computer vision and pattern recognition (2017)

361 Citations

Errata to “Nonlinear Dynamic System Identification Using Chebyshev Functional Link Artificial Neural Networks”

J.C. Patra;A.C. Kot.
systems man and cybernetics (2002)

327 Citations

Quality Measures of Fingerprint Images

LinLin Shen;Alex ChiChung Kot;Wai Mun Koo.
Lecture Notes in Computer Science (2001)

281 Citations

Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation

Pew-Thian Yap;Xudong Jiang;Alex Chichung Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

269 Citations

Distance-reciprocal distortion measure for binary document images

Haiping Lu;A.C. Kot;Y.Q. Shi.
IEEE Signal Processing Letters (2004)

262 Citations

Domain Generalization with Adversarial Feature Learning

Haoliang Li;Sinno Jialin Pan;Shiqi Wang;Alex C. Kot.
computer vision and pattern recognition (2018)

244 Citations

Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks

Jun Liu;Gang Wang;Ling-Yu Duan;Kamila Abdiyeva.
IEEE Transactions on Image Processing (2018)

241 Citations

Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification

Jianlou Si;Honggang Zhang;Chun-Guang Li;Jason Kuen.
computer vision and pattern recognition (2018)

234 Citations

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

Jun Liu;Amir Shahroudy;Dong Xu;Alex C. Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)

231 Citations

Best Scientists Citing Alex C. Kot

Xudong Jiang

Xudong Jiang

Nanyang Technological University

Publications: 44

Shiqi Wang

Shiqi Wang

City University of Hong Kong

Publications: 31

Ke Gu

Ke Gu

Beijing University of Technology

Publications: 28

Weisi Lin

Weisi Lin

Nanyang Technological University

Publications: 27

Wenjun Zeng

Wenjun Zeng

Microsoft (United States)

Publications: 21

Han Yu

Han Yu

Nanyang Technological University

Publications: 20

Junsong Yuan

Junsong Yuan

University at Buffalo, State University of New York

Publications: 20

Ling-Yu Duan

Ling-Yu Duan

Peking University

Publications: 20

Yuming Fang

Yuming Fang

Jiangxi University of Finance and Economics

Publications: 19

Yao Zhao

Yao Zhao

Beijing Jiaotong University

Publications: 19

Chunyan Miao

Chunyan Miao

Nanyang Technological University

Publications: 19

Jie Zhang

Jie Zhang

Nanyang Technological University

Publications: 18

Anil K. Jain

Anil K. Jain

Michigan State University

Publications: 18

Tao Xiang

Tao Xiang

University of Surrey

Publications: 17

Shaoqian Li

Shaoqian Li

University of Electronic Science and Technology of China

Publications: 16

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 16

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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