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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
19505
World Ranking
865
National Ranking
144

Overview

Furong Gao is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily focuses on engineering, with a significant concentration on control and systems engineering. Other notable subfields include mechanical engineering, electrical and electronic engineering, automotive engineering, and artificial intelligence.

The scientist's work spans several topics related to engineering and technology. These main topics include:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Advanced Battery Technologies Research
  • Iterative Learning Control Systems
  • Mineral Processing and Grinding
  • Advancements in Battery Materials
  • Injection Molding Process and Properties

Furong Gao has published extensively, contributing to various scientific journals and conferences. Frequent venues for their publications include:

  • Chemical Engineering Science
  • Computers & Chemical Engineering
  • Industrial & Engineering Chemistry Research
  • Process Safety and Environmental Protection
  • IEEE Transactions on Cybernetics

Among the notable recent papers by Furong Gao are:

  • Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective, 2022, eTransportation
  • Model Migration Neural Network for Predicting Battery Aging Trajectories, 2020, IEEE Transactions on Transportation Electrification
  • Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model, 2020, Electrochimica Acta
  • Investigating carbon footprint and carbon reduction potential using a cradle-to-cradle LCA approach on lithium-ion batteries for electric vehicles in China, 2022, Journal of Cleaner Production
  • Recovering large-scale battery aging dataset with machine learning, 2021, Patterns

Furong Gao collaborates frequently with a number of coauthors, including:

  • Yuanqiang Zhou
  • Xiaopeng Tang
  • Xin Lai
  • Ridong Zhang
  • Husnain Ali

Best Publications

  • Review of Recent Research on Data-Based Process Monitoring

    Zhiqiang Ge;Zhihuan Song;Furong Gao

  • Survey on iterative learning control, repetitive control, and run-to-run control

    Youqing Wang;Furong Gao;Francis J. Doyle

  • Sub‐PCA modeling and on‐line monitoring strategy for batch processes

    Ningyun Lu;Furong Gao;Fuli Wang

  • A fast estimation algorithm for lithium-ion battery state of health

    Xiaopeng Tang;Changfu Zou;Ke Yao;Guohua Chen

  • Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

    Jinlin Zhu;Jinlin Zhu;Zhiqiang Ge;Zhihuan Song;Furong Gao

  • A survey on multistage/multiphase statistical modeling methods for batch processes

    Yuan Yao;Furong Gao

  • Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system

    Jia Shi;Furong Gao;Tie-Jun Wu

  • Robust iterative learning control with applications to injection molding process

    Furong Gao;Yi Yang;Cheng Shao

  • Comparison of Ti/BDD and Ti/SnO2-Sb2O5 electrodes for pollutant oxidation

    Xueming Chen;Xueming Chen;Furong Gao;Guohua Chen

  • High-performance Ti/BDD electrodes for pollutant oxidation.

    Xijeming Chen;Guohua Chen;Furong Gao;Po Lock Yue

  • A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging

    Xiaopeng Tang;Yujie Wang;Changfu Zou;Ke Yao

  • Iterative learning model predictive control for multi-phase batch processes

    Youqing Wang;Youqing Wang;Donghua Zhou;Furong Gao

  • Model Migration Neural Network for Predicting Battery Aging Trajectories

    Xiaopeng Tang;Kailong Liu;Xin Wang;Furong Gao

  • Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model

    Boyang Liu;Xiaopeng Tang;Furong Gao

  • Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays

    Li Yu;Furong Gao

  • Fault-relevant Principal Component Analysis (FPCA) method for multivariate statistical modeling and process monitoring

    Chun Hui Zhao;Furong Gao

  • Industrial Process Identification and Control Design: Step-test and Relay-experiment-based Methods

    Tao Liu;Furong Gao

  • Stage-based process analysis and quality prediction for batch processes

    Ningyun Lu;Furong Gao

  • Iterative Learning Fault-Tolerant Control for Batch Processes

    Youqing Wang;Jia Shi;Donghua Zhou;Furong Gao

  • Batch process monitoring based on support vector data description method

    Zhiqiang Ge;Zhiqiang Ge;Furong Gao;Zhihuan Song

  • Adaptive control of chaotic continuous-time systems with delay

    Yu-Chu Tian;Furong Gao

  • Adaptive control of the filling velocity of thermoplastics injection molding

    Yi Yang;Furong Gao

Frequent Co-Authors

Ridong Zhang
Ridong Zhang Hangzhou Dianzi University
Yu-Chu Tian
Yu-Chu Tian Queensland University of Technology
Guohua Chen
Guohua Chen Hong Kong University of Science and Technology
Musa R. Kamal
Musa R. Kamal McGill University
Frank Allgöwer
Frank Allgöwer University of Stuttgart
Yujie Wang
Yujie Wang University of Science and Technology of China
Donghua Zhou
Donghua Zhou Shandong University of Science and Technology
Donghai Li
Donghai Li Tsinghua University
Weidong Zhang
Weidong Zhang Shanghai Jiao Tong University
Steven X. Ding
Steven X. Ding University of Duisburg-Essen

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