World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11497
World Ranking
4571
National Ranking
610

Overview

Shengyong Chen is affiliated with Tianjin University of Technology in China and has contributed extensively to research in computer science and engineering. Their work encompasses a significant number of publications spanning various subfields, primarily focusing on computer vision and pattern recognition, artificial intelligence, aerospace engineering, electrical and electronic engineering, and biomedical engineering.

Their research topics include:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Icing and De-icing Technologies
  • Anomaly Detection Techniques and Applications
  • Advanced Vision and Imaging

The scientist's frequently published venues highlight their engagement with well-recognized platforms in the field. These publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Intelligent Transportation Systems

Recent notable research papers by Shengyong Chen are:

  • SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning, 2022, Medical Image Analysis
  • Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification, 2021, arXiv (Cornell University)
  • A Novel Densely Connected Convolutional Neural Network for Sea-State Estimation Using Ship Motion Data, 2020, IEEE Transactions on Instrumentation and Measurement
  • Reachability Analysis of Networked Finite State Machine With Communication Losses: A Switched Perspective, 2020, IEEE Journal on Selected Areas in Communications
  • Rainformer: Features Extraction Balanced Network for Radar-Based Precipitation Nowcasting, 2022, IEEE Geoscience and Remote Sensing Letters

Shengyong Chen collaborates frequently with a group of co-authors, indicating active research partnerships. Frequent collaborators include:

  • Fan Shi
  • Jianhua Zhang
  • Xiufeng Liu
  • Xu Cheng

In addition to journal and conference publications, Shengyong Chen has contributions to academic books, such as one published by Springer Nature titled Computational Methods for Blade Icing Detection of Wind Turbines, projected for publication in 2025.

Best Publications

  • SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

    Dongyan Guo;Jun Wang;Ying Cui;Zhenhua Wang

  • Kalman Filter for Robot Vision: A Survey

    S. Y. Chen

  • Active vision in robotic systems: A survey of recent developments

    Shengyong Chen;Youfu Li;Ngai Ming Kwok

  • Game theory for Wireless Sensor Networks: a survey.

    Haiyan Shi;Wan-Liang Wang;Ngai Ming Kwok;Sheng-Yong Chen

  • Artificial Intelligence in Civil Engineering

    Pengzhen Lu;Shengyong Chen;Yujun Zheng

  • Intelligent Video Systems and Analytics: A Survey

    Honghai Liu;Shengyong Chen;Naoyuki Kubota

  • Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light

    S.Y. Chen;Y.F. Li;Jianwei Zhang

  • Initial Alignment by Attitude Estimation for Strapdown Inertial Navigation Systems

    Lubin Chang;Jingshu Li;Shengyong Chen

  • Evolutionary optimization for disaster relief operations

    Yu-Jun Zheng;Sheng-Yong Chen;Hai-Feng Ling

  • A hybrid fireworks optimization method with differential evolution operators

    Yu-Jun Zheng;Xin-Li Xu;Hai-Feng Ling;Sheng-Yong Chen

  • Traffic Dynamics on Complex Networks: A Survey

    Shengyong Chen;Wei Huang;Carlo Cattani;Giuseppe Altieri

  • Vision sensor planning for 3-D model acquisition

    S.Y. Chen;Y.F. Li

  • Multiobjective fireworks optimization for variable-rate fertilization in oil crop production

    Yu-Jun Zheng;Qin Song;Sheng-Yong Chen

  • Recent Advances in Morphological Cell Image Analysis

    Shengyong Chen;Mingzhu Zhao;Guang Wu;Chunyan Yao

  • Generative adversarial network based telecom fraud detection at the receiving bank

    Yu-Jun Zheng;Yu-Jun Zheng;Xiao-Han Zhou;Wei-Guo Sheng;Yu Xue

  • Population Classification in Fire Evacuation: A Multiobjective Particle Swarm Optimization Approach

    Yu-Jun Zheng;Hai-Feng Ling;Jin-Yun Xue;Sheng-Yong Chen

  • Optimization of deep convolutional neural network for large scale image retrieval

    Cong Bai;Ling Huang;Xiang Pan;Jianwei Zheng

  • Active Sensor Planning for Multiview Vision Tasks

    Shengyong Chen;Y. F. Li;Jianwei Zhang;Wanliang Wang

  • A Hierarchical Model Incorporating Segmented Regions and Pixel Descriptors for Video Background Subtraction

    Shengyong Chen;Jianhua Zhang;Youfu Li;Jianwei Zhang

  • Deep learning for multiple object tracking: a survey

    Yingkun Xu;Xiaolong Zhou;Shengyong Chen;Fenfen Li

  • Letters: Leader-following consensus of discrete-time multi-agent systems with observer-based protocols

    Xiaole Xu;Shengyong Chen;Wei Huang;Lixin Gao

Frequent Co-Authors

Youfu Li
Youfu Li City University of Hong Kong
Jianwei Zhang
Jianwei Zhang Universität Hamburg
Houxiang Zhang
Houxiang Zhang Norwegian University of Science and Technology
Honghai Liu
Honghai Liu University of Portsmouth
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Ming Li
Ming Li University of Maryland Center For Environmental Sciences
Carlo Cattani
Carlo Cattani Tuscia University
Guangcan Liu
Guangcan Liu Southeast University
Yu Xue
Yu Xue Nanjing University of Information Science and Technology
Lixin Gao
Lixin Gao University of Massachusetts Amherst

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