D-Index & Metrics Best Publications
Computer Science
China
2023

D-Index & Metrics 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.

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 81 Citations 31,126 1,391 World Ranking 579 National Ranking 45

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Artificial intelligence, Pattern recognition, Mathematical optimization, Algorithm and Computer vision are his primary areas of study. In his study, Community structure is inextricably linked to Machine learning, which falls within the broad field of Artificial intelligence. The Mathematical optimization study combines topics in areas such as Convergence and Benchmark.

Licheng Jiao works mostly in the field of Cluster analysis, limiting it down to topics relating to Data mining and, in certain cases, Complex network, as a part of the same area of interest. As a part of the same scientific family, Licheng Jiao mostly works in the field of Feature extraction, focusing on Artificial neural network and, on occasion, Backstepping and Control theory. His studies in Evolutionary algorithm integrate themes in fields like Evolutionary computation, Optimization problem, Artificial immune system and Selection.

His most cited work include:

  • Wavelet support vector machine (390 citations)
  • A novel genetic algorithm based on immunity (381 citations)
  • Multiobjective immune algorithm with nondominated neighbor-based selection (343 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Cluster analysis. His study in Synthetic aperture radar, Feature extraction, Contextual image classification, Hyperspectral imaging and Image falls under the purview of Artificial intelligence. Licheng Jiao usually deals with Feature extraction and limits it to topics linked to Deep learning and Convolutional neural network.

Licheng Jiao has researched Pattern recognition in several fields, including Pixel and Feature. His Algorithm study combines topics from a wide range of disciplines, such as Artificial immune system and Mathematical optimization. His Mathematical optimization research is multidisciplinary, incorporating elements of Convergence, Selection and Benchmark.

He most often published in these fields:

  • Artificial intelligence (67.56%)
  • Pattern recognition (46.70%)
  • Computer vision (20.42%)

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

  • Artificial intelligence (67.56%)
  • Pattern recognition (46.70%)
  • Feature extraction (11.28%)

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

His primary areas of investigation include Artificial intelligence, Pattern recognition, Feature extraction, Contextual image classification and Convolutional neural network. His works in Hyperspectral imaging, Deep learning, Synthetic aperture radar, Pixel and Image are all subjects of inquiry into Artificial intelligence. His Synthetic aperture radar study combines topics in areas such as Image processing and Speckle pattern.

Licheng Jiao works mostly in the field of Pattern recognition, limiting it down to concerns involving Cluster analysis and, occasionally, Fuzzy logic. His research investigates the connection with Feature extraction and areas like Remote sensing which intersect with concerns in Object detection. The various areas that Licheng Jiao examines in his Convolutional neural network study include Artificial neural network and Convolution.

Between 2017 and 2021, his most popular works were:

  • A Survey of Deep Learning-Based Object Detection (154 citations)
  • A deep learning framework for remote sensing image registration (77 citations)
  • Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection (53 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Licheng Jiao mainly investigates Artificial intelligence, Pattern recognition, Feature extraction, Convolutional neural network and Deep learning. Artificial intelligence is represented through his Hyperspectral imaging, Pixel, Contextual image classification, Artificial neural network and Cluster analysis research. Licheng Jiao has included themes like Synthetic aperture radar, Change detection and Spatial analysis in his Pattern recognition study.

His Synthetic aperture radar research is included under the broader classification of Computer vision. His Feature extraction research also works with subjects such as

  • Remote sensing which connect with Iterative reconstruction and Transfer of learning,
  • Robustness which is related to area like Machine learning. His Deep learning study deals with Benchmark intersecting with Particle swarm optimization and Optimization problem.

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

Wavelet support vector machine

Li Zhang;Weida Zhou;Licheng Jiao.
systems man and cybernetics (2004)

685 Citations

A novel genetic algorithm based on immunity

Licheng Jiao;Lei Wang.
systems man and cybernetics (2000)

611 Citations

A Survey of Deep Learning-Based Object Detection

Licheng Jiao;Fan Zhang;Fang Liu;Shuyuan Yang.
IEEE Access (2019)

558 Citations

Multiobjective immune algorithm with nondominated neighbor-based selection

Maoguo Gong;Licheng Jiao;Haifeng Du;Liefeng Bo.
Evolutionary Computation (2008)

530 Citations

Moea/d with adaptive weight adjustment

Yutao Qi;Xiaoliang Ma;Fang Liu;Licheng Jiao.
Evolutionary Computation (2014)

497 Citations

A multiagent genetic algorithm for global numerical optimization

Weicai Zhong;Jing Liu;Mingzhi Xue;Licheng Jiao.
systems man and cybernetics (2004)

491 Citations

Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks

Maoguo Gong;Jiaojiao Zhao;Jia Liu;Qiguang Miao.
IEEE Transactions on Neural Networks (2016)

457 Citations

Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays

Weisheng Chen;Licheng Jiao;Jing Li;Ruihong Li.
systems man and cybernetics (2010)

425 Citations

Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization

Handing Wang;Licheng Jiao;Xin Yao.
IEEE Transactions on Evolutionary Computation (2015)

389 Citations

A Novel Coarse-to-Fine Scheme for Automatic Image Registration Based on SIFT and Mutual Information

Maoguo Gong;Shengmeng Zhao;Licheng Jiao;Dayong Tian.
IEEE Transactions on Geoscience and Remote Sensing (2014)

299 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Licheng Jiao

Maoguo Gong

Maoguo Gong

Xidian University

Publications: 87

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 78

C. L. Philip Chen

C. L. Philip Chen

University of Macau

Publications: 73

Yaochu Jin

Yaochu Jin

University of Surrey

Publications: 64

Jing Liu

Jing Liu

Xidian University

Publications: 53

Junjun Jiang

Junjun Jiang

Harbin Institute of Technology

Publications: 48

Shengxiang Yang

Shengxiang Yang

De Montfort University

Publications: 44

Qian Du

Qian Du

Mississippi State University

Publications: 41

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 39

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 36

Xin Yao

Xin Yao

Southern University of Science and Technology

Publications: 34

Xingyi Zhang

Xingyi Zhang

Anhui University

Publications: 32

Dan Wang

Dan Wang

Dalian Maritime University

Publications: 32

Qingfu Zhang

Qingfu Zhang

City University of Hong Kong

Publications: 32

Jun Zhang

Jun Zhang

Chinese Academy of Sciences

Publications: 31

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 30

Trending Scientists

Mark Bolas

Mark Bolas

Microsoft (United States)

K.V. Sharma

K.V. Sharma

Jawaharlal Nehru Technological University, Hyderabad

Vojin G. Oklobdzija

Vojin G. Oklobdzija

University of California, Davis

Jeffrey W. Bode

Jeffrey W. Bode

ETH Zurich

M. Manuela M. Raposo

M. Manuela M. Raposo

University of Minho

Gregory K. Schenter

Gregory K. Schenter

Pacific Northwest National Laboratory

Abdollah Salimi

Abdollah Salimi

University of Kurdistan

Nini Pryds

Nini Pryds

Technical University of Denmark

Jun Ding

Jun Ding

National University of Singapore

Lesley Jones

Lesley Jones

Cardiff University

Jian Q. Feng

Jian Q. Feng

Texas A&M University

Marc Heyndrickx

Marc Heyndrickx

Ghent University

Nick J. Knowles

Nick J. Knowles

The Pirbright Institute

Karen L. Mossman

Karen L. Mossman

McMaster University

Richard M. Sorrentino

Richard M. Sorrentino

University of Western Ontario

Carl E. Wieman

Carl E. Wieman

Stanford University

Something went wrong. Please try again later.