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Furong Gao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 71 865 825 145 144 568 19505

Furong Gao publications per year

The chart shows the history of publications by Furong Gao between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Furong Gao published across 36 years, from 1990 to 2025, averaging 18.5 papers a year. Output peaked at 39 publications in 2012. 52 of the 666 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2012. 1990: 1 publication 1991: 0 publications 1992: 1 publication 1993: 3 publications 1994: 3 publications 1995: 2 publications 1996: 2 publications 1997: 6 publications 1998: 9 publications 1999: 21 publications 2000: 15 publications 2001: 8 publications 2002: 7 publications 2003: 7 publications 2004: 20 publications 2005: 13 publications 2006: 15 publications 2007: 14 publications 2008: 26 publications 2009: 29 publications 2010: 31 publications 2011: 19 publications 2012: 39 publications 2013: 30 publications 2014: 39 publications 2015: 27 publications 2016: 31 publications 2017: 26 publications 2018: 35 publications 2019: 34 publications 2020: 30 publications 2021: 26 publications 2022: 19 publications 2023: 26 publications 2024: 32 publications 2025: 20 publications
1990 2025

666 publications in total across all disciplines

View publications per year as a table
Furong Gao: publications per year, 1990 to 2025
Year Publications
1990 1
1991 0
1992 1
1993 3
1994 3
1995 2
1996 2
1997 6
1998 9
1999 21
2000 15
2001 8
2002 7
2003 7
2004 20
2005 13
2006 15
2007 14
2008 26
2009 29
2010 31
2011 19
2012 39
2013 30
2014 39
2015 27
2016 31
2017 26
2018 35
2019 34
2020 30
2021 26
2022 19
2023 26
2024 32
2025 20
Total 666
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Furong Gao publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Furong Gao sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 554–573 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 568 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75 568
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Furong Gao D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Furong Gao sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 71 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59 71
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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
Chunhui Zhao
Chunhui Zhao Zhejiang University
Yuan Yao
Yuan Yao National Tsing Hua University
Zhiqiang Ge
Zhiqiang Ge Zhejiang 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
Zhihuan Song
Zhihuan Song Zhejiang University
Frank Allgöwer
Frank Allgöwer University of Stuttgart
Po Lock Yue
Po Lock Yue Hong Kong University of Science and Technology

External Links

Personal website of Furong Gao Google Scholar page

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