H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 63 Citations 19,475 416 World Ranking 1259 National Ranking 122

Research.com Recognitions

Awards & Achievements

2007 - ACM Distinguished Member

2007 - Fellow of the American Association for the Advancement of Science (AAAS)

2007 - Fellow of the American Association for the Advancement of Science (AAAS)

2007 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Fei-Yue Wang mostly deals with Artificial intelligence, Intelligent transportation system, Environmental chemistry, Sediment and Artificial neural network. Fei-Yue Wang usually deals with Artificial intelligence and limits it to topics linked to Machine learning and Traffic generation model. His work in the fields of Intelligent transportation system, such as Advanced Traffic Management System, intersects with other areas such as Poison control.

His study in Environmental chemistry is interdisciplinary in nature, drawing from both Ecological risk, Manganese, Bioavailability, Oxygen and Methylmercury. His Sediment research also works with subjects such as

  • Ecology which intersects with area such as Mercury,
  • Environmental engineering most often made with reference to Pollution. His Artificial neural network research is multidisciplinary, relying on both Mathematical optimization, Relation, Adaptive control and Reinforcement learning.

His most cited work include:

  • Traffic Flow Prediction With Big Data: A Deep Learning Approach (1353 citations)
  • Data-Driven Intelligent Transportation Systems: A Survey (655 citations)
  • Adaptive Dynamic Programming: An Introduction (614 citations)

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

Fei-Yue Wang focuses on Artificial intelligence, Intelligent transportation system, Machine learning, Mercury and Computer vision. His research links Pattern recognition with Artificial intelligence. His work carried out in the field of Mercury brings together such families of science as Environmental chemistry and Oceanography.

His study in Oceanography focuses on Sea ice and Arctic.

He most often published in these fields:

  • Artificial intelligence (24.76%)
  • Intelligent transportation system (7.15%)
  • Machine learning (6.30%)

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

  • Artificial intelligence (24.76%)
  • Deep learning (5.66%)
  • Machine learning (6.30%)

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

His scientific interests lie mostly in Artificial intelligence, Deep learning, Machine learning, Pattern recognition and Computer vision. His work in Image, Segmentation, Object detection, Artificial neural network and Feature extraction are all subfields of Artificial intelligence research. His Deep learning study incorporates themes from Intelligent transportation system, Data mining and Traffic flow.

His Machine learning study combines topics from a wide range of disciplines, such as Adversarial system and Fuzzy logic. Pattern recognition is closely attributed to Pascal in his research.

Between 2018 and 2021, his most popular works were:

  • Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends (161 citations)
  • Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo (127 citations)
  • Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (63 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, Deep learning, Machine learning, Pattern recognition and Artificial neural network. His study connects Computer vision and Artificial intelligence. Fei-Yue Wang combines subjects such as Intelligent transportation system and Data mining with his study of Deep learning.

His Intelligent transportation system research integrates issues from Complex system, Distributed computing and Traffic flow. The various areas that he examines in his Machine learning study include Adversarial system and Fuzzy logic. Automation and Data modeling is closely connected to Field in his research, which is encompassed under the umbrella topic of Adversarial system.

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.

Top Publications

Traffic Flow Prediction With Big Data: A Deep Learning Approach

Yisheng Lv;Yanjie Duan;Wenwen Kang;Zhengxi Li.
IEEE Transactions on Intelligent Transportation Systems (2015)

2093 Citations

Data-Driven Intelligent Transportation Systems: A Survey

Junping Zhang;Fei-Yue Wang;Kunfeng Wang;Wei-Hua Lin.
IEEE Transactions on Intelligent Transportation Systems (2011)

1151 Citations

Reduction and axiomization of covering generalized rough sets

William Zhu;Fei-Yue Wang.
Information Sciences (2003)

868 Citations

Adaptive Dynamic Programming: An Introduction

Fei-Yue Wang;Huaguang Zhang;Derong Liu.
IEEE Computational Intelligence Magazine (2009)

772 Citations

Social Computing: From Social Informatics to Social Intelligence

Fei-Yue Wang;Daniel Zeng;K.M. Carley;W. Mao.
IEEE Intelligent Systems (2007)

755 Citations

Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications

Fei-Yue Wang.
IEEE Transactions on Intelligent Transportation Systems (2010)

697 Citations

Assessing sediment contamination in estuaries.

Peter M. Chapman;Feiyue Wang.
Environmental Toxicology and Chemistry (2001)

586 Citations

Ecotoxicology of metals in aquatic sediments : binding and release, bioavailability, risk assessment, and remediation

Peter M Chapman;Feiyue Wang;Colin Janssen;Guido Persoone.
Canadian Journal of Fisheries and Aquatic Sciences (1998)

578 Citations

On Three Types of Covering-Based Rough Sets

William Zhu;Fei-Yue Wang.
IEEE Transactions on Knowledge and Data Engineering (2007)

511 Citations

Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

C. L. Philip Chen;Guo-Xing Wen;Yan-Jun Liu;Fei-Yue Wang.
IEEE Transactions on Neural Networks (2014)

430 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Fei-Yue Wang

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The University of Texas at Arlington

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