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Fengxiang Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 45 3558 3414 566 564 326 8077

Fengxiang Wang publications per year

The chart shows the history of publications by Fengxiang Wang between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fengxiang Wang published across 29 years, from 1997 to 2025, averaging 13.4 papers a year. Output peaked at 36 publications in 2021. 45 of the 390 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2021. 1997: 3 publications 1998: 2 publications 1999: 0 publications 2000: 6 publications 2001: 2 publications 2002: 18 publications 2003: 7 publications 2004: 8 publications 2005: 11 publications 2006: 11 publications 2007: 17 publications 2008: 20 publications 2009: 11 publications 2010: 7 publications 2011: 11 publications 2012: 7 publications 2013: 6 publications 2014: 6 publications 2015: 11 publications 2016: 20 publications 2017: 14 publications 2018: 16 publications 2019: 18 publications 2020: 20 publications 2021: 36 publications 2022: 24 publications 2023: 33 publications 2024: 29 publications 2025: 16 publications
1997 2025

390 publications in total across all disciplines

View publications per year as a table
Fengxiang Wang: publications per year, 1997 to 2025
Year Publications
1997 3
1998 2
1999 0
2000 6
2001 2
2002 18
2003 7
2004 8
2005 11
2006 11
2007 17
2008 20
2009 11
2010 7
2011 11
2012 7
2013 6
2014 6
2015 11
2016 20
2017 14
2018 16
2019 18
2020 20
2021 36
2022 24
2023 33
2024 29
2025 16
Total 390
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Fengxiang Wang 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 Fengxiang Wang 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, 314–333 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: 326 publications — 63rd percentile

63% 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
314–333 276 326
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
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Fengxiang Wang 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 Fengxiang Wang 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, 45 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: 45 D-Index — 50th percentile

50% 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 45
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
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

Fengxiang Wang is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on the field of Engineering, with significant contributions to Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Automotive Engineering, and Aerospace Engineering.

The scientist's work covers various specialized topics, including:

  • Multilevel Inverters and Converters
  • Sensorless Control of Electric Motors
  • Advanced DC-DC Converters
  • Microgrid Control and Optimization
  • Electric Motor Design and Analysis
  • Iterative Learning Control Systems
  • Magnetic Bearings and Levitation Dynamics

Fengxiang Wang has published extensively, with frequent appearances in high-impact venues. The main publication venues include:

  • IEEE Transactions on Industrial Electronics
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Energy Conversion
  • 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
  • IEEE Journal of Emerging and Selected Topics in Power Electronics

Some of their recent published papers are:

  • "Latest Advances of Model Predictive Control in Electrical Drives-Part I: Basic Concepts and Advanced Strategies," 2021, IEEE Transactions on Power Electronics
  • "Latest Advances of Model Predictive Control in Electrical Drives-Part II: Applications and Benchmarking With Classical Control Methods," 2021, IEEE Transactions on Power Electronics
  • "Optimal Cost Function Parameter Design in Predictive Torque Control (PTC) Using Artificial Neural Networks (ANN)," 2020, IEEE Transactions on Industrial Electronics
  • "FPGA-Based Predictive Speed Control for PMSM System Using Integral Sliding-Mode Disturbance Observer," 2020, IEEE Transactions on Industrial Electronics
  • "Robust Continuous Model Predictive Speed and Current Control for PMSM With Adaptive Integral Sliding-Mode Approach," 2021, IEEE Transactions on Power Electronics

Fengxiang Wang collaborates regularly with a group of frequent coauthors. These include:

  • José Rodríguez
  • Dongliang Ke
  • Ralph Kennel
  • Haotian Xie
  • Yao Wei

Best Publications

  • Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives

    Wei Xie;Xiaocan Wang;Fengxiang Wang;Wei Xu

  • Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

    Jose Rodriguez;Cristian Garcia;Andres Mora;Freddy Flores-Bahamonde

  • Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods

    Fengxiang Wang;Shihua Li;Xuezhu Mei;Wei Xie

  • Deadbeat Model-Predictive Torque Control With Discrete Space-Vector Modulation for PMSM Drives

    Yuanlin Wang;Xiaocan Wang;Wei Xie;Fengxiang Wang

  • Latest Advances of Model Predictive Control in Electrical Drives. Part II: Applications and Benchmarking with Classical Control Methods

    Jose Rodriguez;Cristian Garcia;Andres Mora;Alireza Davari

  • Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control

    Fengxiang Wang;Zhenbin Zhang;Zhenbin Zhang;Xuezhu Mei;Xuezhu Mei;José Rodríguez

  • Synthesis and characterization of PAn/clay nanocomposite with extended chain conformation of polyaniline

    Q. Wu;Z. Xue;Z. Qi;F. Wang

  • A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control

    Margarita Norambuena;Jose Rodriguez;Zhenbin Zhang;Fengxiang Wang

  • Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors

    S. A. Davari;D. A. Khaburi;Fengxiang Wang;R. M. Kennel

  • Parameter and performance comparison of doubly fed brushless machine with cage and reluctance rotors

    Fengxiang Wang;Fengge Zhang;Longya Xu

  • Parallel Predictive Torque Control for Induction Machines Without Weighting Factors

    Fengxiang Wang;Haotian Xie;Qing Chen;S. Alireza Davari

  • Model predictive control for electrical drive systems-an overview

    Fengxiang Wang;Xuezhu Mei;Jose Rodriguez;Ralph Kennel

  • Generalized Proportional Integral Observer Based Robust Finite Control Set Predictive Current Control for Induction Motor Systems With Time-Varying Disturbances

    Junxiao Wang;Fengxiang Wang;Gaolin Wang;Shihua Li

  • Zynq Implemented Luenberger Disturbance Observer Based Predictive Control Scheme for PMSM Drives

    Long He;Fengxiang Wang;Junxiao Wang;Jose Rodriguez

  • Dynamic Loss Minimization of Finite Control Set-Model Predictive Torque Control for Electric Drive System

    Wei Xie;Xiaocan Wang;Fengxiang Wang;Wei Xu

  • Design and Implementation of Disturbance Compensation-Based Enhanced Robust Finite Control Set Predictive Torque Control for Induction Motor Systems

    Junxiao Wang;Fengxiang Wang;Zhenbin Zhang;Shihua Li

  • Optimal Cost Function Parameter Design in Predictive Torque Control (PTC) Using Artificial Neural Networks (ANN)

    Mateja Novak;Haotian Xie;Tomislav Dragicevic;Fengxiang Wang

  • Finite Control Set Model Predictive Torque Control of Induction Machine With a Robust Adaptive Observer

    Fengxiang Wang;S. Alireza Davari;Zhe Chen;Zhenbin Zhang

  • FPGA-Based Experimental Investigation of a Quasi-Centralized Model Predictive Control for Back-to-Back Converters

    Zhenbin Zhang;Fengxiang Wang;Tongjing Sun;Jose Rodriguez

  • An Encoderless Predictive Torque Control for an Induction Machine With a Revised Prediction Model and EFOSMO

    Fengxiang Wang;Zhenbin Zhang;S. Alireza Davari;Reza Fotouhi

  • Active Disturbance-Rejection-Based Speed Control in Model Predictive Control for Induction Machines

    Liming Yan;Fengxiang Wang;Manfeng Dou;Zhenbin Zhang

  • Nonlinear Direct Control for Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems: Experimental Assessment With FPGA

    Zhenbin Zhang;Fengxiang Wang;Junxiao Wang;Jose Rodriguez

  • Encoderless Finite-State Predictive Torque Control for Induction Machine With a Compensated MRAS

    Fengxiang Wang;Zhe Chen;Peter Stolze;Jean-Francois Stumper

Frequent Co-Authors

Ralph Kennel
Ralph Kennel Technical University of Munich
Jose Rodriguez
Jose Rodriguez San Sebastián University
Cristian Garcia
Cristian Garcia Andrés Bello University
Shihua Li
Shihua Li Southeast University
Yongchang Zhang
Yongchang Zhang North China Electric Power University
Tomislav Dragicevic
Tomislav Dragicevic Technical University of Denmark
Zaicheng Sun
Zaicheng Sun Beijing University of Technology
Tobias Geyer
Tobias Geyer ABB (Switzerland)
Robert D. Lorenz
Robert D. Lorenz University of Wisconsin–Madison
Ziruo Hong
Ziruo Hong University of California, Los Angeles

External Links

Personal website of Fengxiang Wang

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Related Online Degrees & Career Pathways

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For those seeking quicker entry into the workforce, 6-month certificate programs that pay well offer a fast-track option to develop specific technical skills and improve earning potential without a full degree commitment.

Additionally, career pathways in this field often suit a range of personality types. If you prefer a more focused and independent work environment, consider reviewing the high paying careers for introverts to find roles that match your style while leveraging your engineering expertise.

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