D-Index & Metrics Best Publications

D-Index & Metrics

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
Electronics and Electrical Engineering D-index 46 Citations 7,806 238 World Ranking 1398 National Ranking 153

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Control theory

His primary areas of investigation include Control theory, Batch processing, Iterative learning control, Control theory and Control engineering. Control theory and Mathematical optimization are frequently intertwined in his study. Iterative learning control is closely attributed to Interval in his study.

The various areas that Furong Gao examines in his Control theory study include Stability, Process control and Molding. The study incorporates disciplines such as Control and Setpoint in addition to Control engineering. His work deals with themes such as Process modeling, Algorithm, Nonlinear system and Fault detection and isolation, which intersect with Principal component analysis.

His most cited work include:

  • Review of Recent Research on Data-Based Process Monitoring (534 citations)
  • Survey on iterative learning control, repetitive control, and run-to-run control (490 citations)
  • Sub‐PCA modeling and on‐line monitoring strategy for batch processes (193 citations)

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

Furong Gao mainly focuses on Control theory, Batch processing, Iterative learning control, Control theory and Molding. The Control theory study combines topics in areas such as Control engineering, Process control and Model predictive control. His Control engineering research integrates issues from Control and Robustness.

The concepts of his Iterative learning control study are interwoven with issues in Fault tolerance, Stability, Mathematical optimization and Interval. Furong Gao has researched Molding in several fields, including Mechanical engineering and Mold. In his work, Artificial intelligence is strongly intertwined with Fault, which is a subfield of Data mining.

He most often published in these fields:

  • Control theory (42.05%)
  • Batch processing (21.94%)
  • Iterative learning control (18.28%)

What were the highlights of his more recent work (between 2016-2021)?

  • Control theory (42.05%)
  • Iterative learning control (18.28%)
  • Nonlinear system (12.43%)

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

His primary scientific interests are in Control theory, Iterative learning control, Nonlinear system, Batch processing and Model predictive control. Furong Gao has included themes like Fault tolerance and Control in his Control theory study. Furong Gao studied Control and Control engineering that intersect with Process control.

His Iterative learning control study combines topics from a wide range of disciplines, such as Stability, Upper and lower bounds, Exponential stability and State. His Nonlinear system research is multidisciplinary, incorporating perspectives in Artificial neural network, Mathematical optimization and Trajectory. His Model predictive control research includes themes of State-space representation and State space.

Between 2016 and 2021, his most popular works were:

  • Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic (77 citations)
  • A fast estimation algorithm for lithium-ion battery state of health (76 citations)
  • A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging (67 citations)

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

  • Artificial intelligence
  • Statistics
  • Control theory

Furong Gao mostly deals with Control theory, Batch processing, Iterative learning control, Fault detection and isolation and Battery. His research on Control theory frequently connects to adjacent areas such as State. His study on Batch processing is intertwined with other disciplines of science such as Residual and Scheme.

His work carried out in the field of Iterative learning control brings together such families of science as Fault tolerance, Upper and lower bounds and Fuzzy logic. His research in Fault detection and isolation intersects with topics in Algorithm, Principal component analysis and Data mining. His Data mining study integrates concerns from other disciplines, such as Quality, Selection, Partial least squares regression, Key and Process.

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

Review of Recent Research on Data-Based Process Monitoring

Zhiqiang Ge;Zhihuan Song;Furong Gao.
Industrial & Engineering Chemistry Research (2013)

763 Citations

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

Youqing Wang;Furong Gao;Francis J. Doyle.
Journal of Process Control (2009)

679 Citations

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

Ningyun Lu;Furong Gao;Fuli Wang.
Aiche Journal (2004)

275 Citations

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

Yuan Yao;Furong Gao.
Annual Reviews in Control (2009)

213 Citations

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

Xueming Chen;Xueming Chen;Furong Gao;Guohua Chen.
Journal of Applied Electrochemistry (2005)

204 Citations

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.
Journal of Process Control (2005)

198 Citations

High-performance Ti/BDD electrodes for pollutant oxidation.

Xijeming Chen;Guohua Chen;Furong Gao;Po Lock Yue.
Environmental Science & Technology (2003)

187 Citations

Robust iterative learning control with applications to injection molding process

Furong Gao;Yi Yang;Cheng Shao.
Chemical Engineering Science (2001)

183 Citations

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

Li Yu;Furong Gao.
Journal of The Franklin Institute-engineering and Applied Mathematics (2001)

167 Citations

Adaptive control of chaotic continuous-time systems with delay

Yu-Chu Tian;Furong Gao.
Physica D: Nonlinear Phenomena (1998)

144 Citations

Best Scientists Citing Furong Gao

Zhiqiang Ge

Zhiqiang Ge

Zhejiang University

Publications: 107

Zhihuan Song

Zhihuan Song

Zhejiang University

Publications: 94

Chunhui Zhao

Chunhui Zhao

Zhejiang University

Publications: 78

Biao Huang

Biao Huang

University of Alberta

Publications: 53

Donghua Zhou

Donghua Zhou

Shandong University of Science and Technology

Publications: 43

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 33

Jie Zhang

Jie Zhang

Newcastle University

Publications: 28

Ridong Zhang

Ridong Zhang

Hangzhou Dianzi University

Publications: 21

Steven X. Ding

Steven X. Ding

University of Duisburg-Essen

Publications: 20

S. Joe Qin

S. Joe Qin

City University of Hong Kong

Publications: 20

Guohua Chen

Guohua Chen

Hong Kong Polytechnic University

Publications: 19

Jian-Xin Xu

Jian-Xin Xu

National University of Singapore

Publications: 17

Arun S. Mujumdar

Arun S. Mujumdar

McGill University

Publications: 16

Min Zhang

Min Zhang

Jiangnan University

Publications: 16

Bin Jiang

Bin Jiang

Nanjing University of Aeronautics and Astronautics

Publications: 15

Ju H. Park

Ju H. Park

Yeungnam University

Publications: 14

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

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