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Fei Gao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 50 2849 2734 41 39 237 8244

Fei Gao publications per year

The chart shows the history of publications by Fei Gao between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fei Gao published across 17 years, from 2009 to 2025, averaging 27.5 papers a year. Output peaked at 70 publications in 2024. 133 of the 468 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 70. Peak 70 publications in 2024. 2009: 3 publications 2010: 5 publications 2011: 3 publications 2012: 9 publications 2013: 17 publications 2014: 18 publications 2015: 9 publications 2016: 20 publications 2017: 15 publications 2018: 36 publications 2019: 30 publications 2020: 41 publications 2021: 37 publications 2022: 39 publications 2023: 53 publications 2024: 70 publications 2025: 63 publications
2009 2025

468 publications in total across all disciplines

View publications per year as a table
Fei Gao: publications per year, 2009 to 2025
Year Publications
2009 3
2010 5
2011 3
2012 9
2013 17
2014 18
2015 9
2016 20
2017 15
2018 36
2019 30
2020 41
2021 37
2022 39
2023 53
2024 70
2025 63
Total 468
Download as CSV

Fei Gao publications per year - data summary

  • Fei Gao, a Electronics and Electrical Engineering scholar from University of Technology of Belfort-Montbéliard, has 468 publications recorded across 17 years, from 2009 to 2025.
  • The oldest publication on record dates to 2009 and the most recent to 2025.
  • The most productive year is 2024, with 70 publications.
  • The least productive years with any output are 2009 and 2011, with 3 publications each.
  • The rate of publication averages 27.5 papers per year over the whole span, or 27.5 per year counting only the 17 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 262 publications, 56% of the career total.
  • Split into equal eras - 2009-2014: 55 publications (9.2 per year); 2015-2020: 151 publications (25.2 per year); 2021-2025: 262 publications (52.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Fei 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 Fei 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, 234–253 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: 237 publications — 41st percentile

41% 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
234–253 399 237
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
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
Download as CSV

Fei Gao publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Fei Gao, a Electronics and Electrical Engineering scholar from University of Technology of Belfort-Montbéliard, records 237 publications - the 41st percentile of the discipline.
  • 41% of ranked Electronics and Electrical Engineering scientists score the same or lower than Fei Gao, and about 59% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Fei Gao ranks below the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Fei 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 Fei 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, 50 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: 50 D-Index — 60th percentile

60% 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 50
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
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

Fei Gao D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Fei Gao, a Electronics and Electrical Engineering scholar from University of Technology of Belfort-Montbéliard, records 50 D-Index - the 60th percentile of the discipline.
  • 60% of ranked Electronics and Electrical Engineering scientists score the same or lower than Fei Gao, and about 40% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Fei Gao ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Overview

Fei Gao is affiliated with the University of Technology of Belfort-Montbéliard in France. Their research lies primarily within the field of engineering, with a focus on electrical and electronic engineering, automotive engineering, and control and systems engineering. They also contribute to subfields related to renewable energy, sustainability, and materials chemistry.

Their work centers around several main topics, including:

  • Fuel Cells and Related Materials
  • Advanced Battery Technologies Research
  • Electrocatalysts for Energy Conversion
  • Microgrid Control and Optimization
  • Real-time simulation and control systems
  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure

Fei Gao frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Transportation Electrification
  • IEEE Journal of Emerging and Selected Topics in Industrial Electronics
  • IEEE Transactions on Industrial Electronics
  • SSRN Electronic Journal

Their recent published papers include:

  • A review on lifetime prediction of proton exchange membrane fuel cells system, 2022, Journal of Power Sources
  • Remaining useful life prediction of PEMFC systems based on the multi-input echo state network, 2020, Applied Energy
  • Remaining useful life prediction of PEMFC systems under dynamic operating conditions, 2021, Energy Conversion and Management
  • A Coordinated Optimal Operation of a Grid-Connected Wind-Solar Microgrid Incorporating Hybrid Energy Storage Management Systems, 2023, IEEE Transactions on Sustainable Energy
  • Hierarchical Operation of Electric Vehicle Charging Station in Smart Grid Integration Applications - An Overview, 2022, International Journal of Electrical Power & Energy Systems

Their collaborations are marked by frequent co-authors, including:

  • Hao Bai
  • Yigeng Huangfu
  • Mohamed Benbouzid
  • Elena Breaz
  • Chen Liu

Best Publications

  • Modeling and Advanced Control of Dual-Active-Bridge DC–DC Converters: A Review

    Shuai Shao;Linglin Chen;Zhenyu Shan;Fei Gao

  • Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine

    Jinhao Meng;Guangzhao Luo;Fei Gao

  • Online energy management strategy of fuel cell hybrid electric vehicles based on data fusion approach

    Daming Zhou;Ahmed Al-Durra;Fei Gao;Alexandre Ravey

  • Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles: A Fractional-Order Extremum Seeking Method

    Daming Zhou;Ahmed Al-Durra;Imad Matraji;Alexandre Ravey

  • PEM Fuel Cell Stack Modeling for Real-Time Emulation in Hardware-in-the-Loop Applications

    Fei Gao;B Blunier;A Miraoui

  • Remaining useful life prediction of PEMFC systems based on the multi-input echo state network

    Zhiguang Hua;Zhixue Zheng;Marie-Cécile Péra;Fei Gao

  • Robust Voltage Control of Floating Interleaved Boost Converter for Fuel Cell Systems

    Yigeng Huangfu;Shengrong Zhuo;Fuxi Chen;Shengzhao Pang

  • Online remaining useful lifetime prediction of proton exchange membrane fuel cells using a novel robust methodology

    Daming Zhou;Daming Zhou;Ahmed Al-Durra;Ke Zhang;Alexandre Ravey

  • Remaining useful life prediction of PEMFC systems under dynamic operating conditions

    Zhiguang Hua;Zhixue Zheng;Elodie Pahon;Marie-Cécile Péra

  • Compensation of droop control using common load condition in DC microgrids to improve voltage regulation and load sharing

    Nanfang Yang;Damien Paire;Fei Gao;Abdellatif Miraoui

  • A comparative study of extremum seeking methods applied to online energy management strategy of fuel cell hybrid electric vehicles

    Daming Zhou;Daming Zhou;Alexandre Ravey;Ahmed Al-Durra;Fei Gao

  • Nonlinear Performance Degradation Prediction of Proton Exchange Membrane Fuel Cells Using Relevance Vector Machine

    Yiming Wu;Elena Breaz;Fei Gao;Damien Paire

  • A Modified Relevance Vector Machine for PEM Fuel-Cell Stack Aging Prediction

    Yiming Wu;Elena Breaz;Fei Gao;Abdellatif Miraoui

  • A Multiphysic Dynamic 1-D Model of a Proton-Exchange-Membrane Fuel-Cell Stack for Real-Time Simulation

    Fei Gao;Benjamin Blunier;Abdellatif Miraoui;Abdellah El Moudni

  • Approximate Cost-optimal Energy Management of Hydrogen Electric Multiple Unit Trains Using Double Q-learning Algorithm

    Qi Li;Xiang Meng;Fei Gao;Guorui Zhang

  • Online Estimation of Lithium Polymer Batteries State-of-Charge Using Particle Filter-Based Data Fusion With Multimodels Approach

    Daming Zhou;Ke Zhang;Alexandre Ravey;Fei Gao

  • Degradation Prediction of PEM Fuel Cell Stack Based on Multiphysical Aging Model With Particle Filter Approach

    Daming Zhou;Yiming Wu;Fei Gao;Elena Breaz

  • Stability Analysis and Active Stabilization of On-board DC Power Converter System with Input Filter

    Yigeng Huangfu;Shengzhao Pang;Babak Nahid-Mobarakeh;Liang Guo

  • Online extremum seeking-based optimized energy management strategy for hybrid electric tram considering fuel cell degradation

    Qi Li;Tianhong Wang;Tianhong Wang;Shihan Li;Weirong Chen

  • A Robust Prognostic Indicator for Renewable Energy Technologies: A Novel Error Correction Grey Prediction Model

    Daming Zhou;Ahmed Al-Durra;Ke Zhang;Alexandre Ravey

  • Control of an Ultrahigh-Speed Centrifugal Compressor for the Air Management of Fuel Cell Systems

    Dongdong Zhao;Benjamin Blunier;Fei Gao;Manfeng Dou

  • Disturbance decoupling control of an ultra-high speed centrifugal compressor for the air management of fuel cell systems

    Dongdong Zhao;Dongdong Zhao;Qing Zheng;Fei Gao;Fei Gao;David Bouquain;David Bouquain

Frequent Co-Authors

Abdellatif Miraoui
Abdellatif Miraoui Ministère de l'Enseignement supérieur, de la Recherche scientifique et de l'innovation
Yigeng Huangfu
Yigeng Huangfu Northwestern Polytechnical University
Babak Nahid-Mobarakeh
Babak Nahid-Mobarakeh McMaster University
Serge Pierfederici
Serge Pierfederici University of Lorraine
Marie-Cécile Péra
Marie-Cécile Péra Centre national de la recherche scientifique, CNRS
Pavol Bauer
Pavol Bauer Delft University of Technology
Ahmed Al-Durra
Ahmed Al-Durra Khalifa University
Akshay Kumar Rathore
Akshay Kumar Rathore Concordia University
Weirong Chen
Weirong Chen Southwest Jiaotong University
Tomislav Dragicevic
Tomislav Dragicevic Technical University of Denmark

External Links

Personal website of Fei Gao

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Related Online Degrees & Career Pathways

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