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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
5271
World Ranking
5164
National Ranking
17

Overview

Houxiang Zhang is affiliated with the Norwegian University of Science and Technology in Norway. Their research focuses predominantly on engineering, with a strong emphasis on ocean engineering and control and systems engineering. The scientist's work spans various subfields including environmental engineering, mechanical engineering, and industrial and manufacturing engineering.

Their scholarly contributions cover multiple key topics related to maritime studies and engineering technologies. These include:

  • Maritime Navigation and Safety
  • Ship Hydrodynamics and Maneuverability
  • Maritime Transport Emissions and Efficiency
  • Machine Fault Diagnosis Techniques
  • Human-Automation Interaction and Safety
  • Fault Detection and Control Systems
  • Structural Integrity and Reliability Analysis

Houxiang Zhang has frequently collaborated with a set of researchers, including:

  • Guoyuan Li
  • Robert Skulstad
  • Peihua Han
  • Hans Petter Hildre
  • Tongtong Wang

Their research is published in several prominent venues with a notable concentration in maritime and industrial applications. The regular publication venues include:

  • Ocean Engineering
  • IEEE Transactions on Industrial Informatics
  • Modeling Identification and Control A Norwegian Research Bulletin
  • IEEE Sensors Journal
  • IEEE Transactions on Intelligent Transportation Systems

Representative recent papers by Houxiang Zhang include the following works:

  • A Hybrid Approach to Motion Prediction for Ship Docking-Integration of a Neural Network Model Into the Ship Dynamic Model, 2020, IEEE Transactions on Instrumentation and Measurement
  • Fault Detection With LSTM-Based Variational Autoencoder for Maritime Components, 2021, IEEE Sensors Journal
  • A Novel Densely Connected Convolutional Neural Network for Sea-State Estimation Using Ship Motion Data, 2020, IEEE Transactions on Instrumentation and Measurement
  • Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades, 2021, IEEE Transactions on Industrial Electronics
  • Fault Prognostics Using LSTM Networks: Application to Marine Diesel Engine, 2021, IEEE Sensors Journal

Best Publications

  • Sky Cleaner 3: a real pneumatic climbing robot for glass-wall cleaning

    Houxiang Zhang;Jianwei Zhang;Guanghua Zong;Wei Wang

  • A series of pneumatic glass‐wall cleaning robots for high‐rise buildings

    Houxiang Zhang;Jianwei Zhang;Wei Wang;Rong Liu

  • Three-dimensional point cloud plane segmentation in both structured and unstructured environments

    Junhao Xiao;Jianhua Zhang;Benjamin Adler;Houxiang Zhang

  • A Hybrid Approach to Motion Prediction for Ship Docking—Integration of a Neural Network Model Into the Ship Dynamic Model

    Robert Skulstad;Guoyuan Li;Thor I. Fossen;Bjornar Vik

  • Fault Detection With LSTM-Based Variational Autoencoder for Maritime Components

    Peihua Han;Andre Listou Ellefsen;Guoyuan Li;Finn Tore Holmeset

  • Locomotion capabilities of a modular robot with eight pitch-yaw-connecting modules

    Juan González Gómez;Houxiang Zhang;Eduardo I. Boemo;Jianwei Zhang

  • A Comprehensive Survey of Prognostics and Health Management Based on Deep Learning for Autonomous Ships

    Andre Listou Ellefsen;Vilmar Asoy;Sergey Ushakov;Houxiang Zhang

  • A Novel Reconfigurable Robot for Urban Search and Rescue

    Houxiang Zhang;Wei Wang;Zhicheng Deng;Guanghua Zong

  • Planar Segment Based Three-dimensional Point Cloud Registration in Outdoor Environments

    Junhao Xiao;Benjamin Adler;Jianwei Zhang;Houxiang Zhang

  • Controlling Kuka Industrial Robots: Flexible Communication Interface JOpenShowVar

    Filippo Sanfilippo;Lars Ivar Hatledal;Houxiang Zhang;Massimiliano Fago

  • Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades

    Xu Cheng;Fan Shi;Meng Zhao;Guoyuan Li

  • Crawling gait realization of the mini-modular climbing caterpillar robot

    Wei Wang;Kun Wang;Houxiang Zhang

  • Fault Prognostics Using LSTM Networks: Application to Marine Diesel Engine

    Peihua Han;Andre Listou Ellefsen;Guoyuan Li;Vilmar Asoy

  • Requirements of glass cleaning and development of climbing robot systems

    Houxiang Zhang;Jianwei Zhang;Guanghua Zong

  • Intelligent Lighting Control for Vision-Based Robotic Manipulation

    S. Y. Chen;Jianwei Zhang;Houxiang Zhang;N. M. Kwok

  • Neural-network-based modelling and analysis for time series prediction of ship motion

    Guoyuan Li;Bikram Kawan;Hao Wang;Houxiang Zhang

  • Fast plane detection for SLAM from noisy range images in both structured and unstructured environments

    Junhao Xiao;Jianhua Zhang;Jianwei Zhang;Houxiang Zhang

  • Development of a low-cost flexible modular robot GZ-I

    Houxiang Zhang;J. Gonzalez-Gomez;Zhizhu Me;Sheng Cheng

  • An efficient neural-network based approach to automatic ship docking

    Yonghui Shuai;Guoyuan Li;Xu Cheng;Robert Skulstad

  • Data-driven uncertainty and sensitivity analysis for ship motion modeling in offshore operations

    Xu Cheng;Xu Cheng;Guoyuan Li;Robert Skulstad;Pierre Yann Major

  • Analysis of the kinematics of module climbing caterpillar robots

    Wei Wang;Yingying Wang;Kun Wang;Houxiang Zhang

  • An effective heave compensation and anti-sway control approach for offshore hydraulic crane operations

    Yingguang Chu;Filippo Sanfilippo;Vilmar Asoy;Houxiang Zhang

  • 3D point cloud registration based on planar surfaces

    Junhao Xiao;Bejamin Adler;Houxiang Zhang

  • Force cooperation in a reconfigurable field multirobot system

    Wei Wang;Houxiang Zhang;Guanghua Zong;Jianwei Zhang

Frequent Co-Authors

Kristin Y. Pettersen
Kristin Y. Pettersen Norwegian University of Science and Technology
Thor I. Fossen
Thor I. Fossen Norwegian University of Science and Technology
Domenico Prattichizzo
Domenico Prattichizzo University of Siena
Junzhi Yu
Junzhi Yu Peking University

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