World's Best Scientists 2026 revealed!
Award Badge
Electronics and Electrical Engineering
Taiwan
2022

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
13035
World Ranking
1176
National Ranking
12

Faa-Jeng Lin 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 Faa-Jeng Lin sits on this spectrum.

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 publications 1,065+

This scientist: 311 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Faa-Jeng Lin 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 Faa-Jeng Lin sits on this spectrum.

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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2022 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award
  • 2017 - IEEE Fellow For contributions to intelligent control systems for motor drives and motion control

Overview

Faa-Jeng Lin is affiliated with National Central University in Taiwan and has made contributions primarily in the field of Engineering, with a focus on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Automotive Engineering, and Renewable Energy, Sustainability and the Environment.

Their research includes studies on sensorless control of electric motors, microgrid control and optimization, electric motor design and analysis, multilevel inverters and converters, smart grid energy management, optimal power flow distribution, and control systems in engineering.

Notable recent publications include:

  • Online Autotuning Technique for IPMSM Servo Drive by Intelligent Identification of Moment of Inertia, 2020, IEEE Transactions on Industrial Informatics
  • Voltage Stabilization Control for Microgrid With Asymmetric Membership Function-Based Wavelet Petri Fuzzy Neural Network, 2021, IEEE Transactions on Smart Grid
  • Adaptive Complementary Sliding Mode Control for Synchronous Reluctance Motor With Direct-Axis Current Control, 2021, IEEE Transactions on Industrial Electronics
  • Improved LVRT Performance of PV Power Plant Using Recurrent Wavelet Fuzzy Neural Network Control for Weak Grid Conditions, 2020, IEEE Access

Frequent co-authors include:

  • Shih-Gang Chen
  • Ming-Shi Huang
  • Kuang-Hsiung Tan
  • Cheng-I Chen
  • Syuan-Yi Chen

They have commonly published in venues such as:

  • IEEE Access
  • Energies
  • IEEE Transactions on Power Electronics
  • IEEE Systems Journal
  • IEEE/ASME Transactions on Mechatronics

In recognition of their work, Faa-Jeng Lin was named an IEEE Fellow in 2017 for contributions to intelligent control systems for motor drives and motion control.

Best Publications

  • Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive

    Faa-Jeng Lin;Chih-Hong Lin;Po-Hung Shen

  • Robust Nonsingular Terminal Sliding-Mode Control for Nonlinear Magnetic Bearing System

    Syuan-Yi Chen;Faa-Jeng Lin

  • Adaptive backstepping sliding mode control for linear induction motor drive

    F.-J. Lin;P.-H. Shen;S.-P. Hsu

  • Adaptive fuzzy sliding-mode control for PM synchronous servo motor drives

    F.-J. Lin;S.-L. Chiu

  • A supervisory fuzzy neural network control system for tracking periodic inputs

    Faa-Jeng Lin;Wen-Jyi Hwang;Rong-Jong Wai

  • DSP-Based Cross-Coupled Synchronous Control for Dual Linear Motors via Intelligent Complementary Sliding Mode Control

    Faa-Jeng Lin;Po-Huan Chou;Chin-Sheng Chen;Yu-Sheng Lin

  • Robust Fuzzy Neural Network Sliding-Mode Control for Two-Axis Motion Control System

    Faa-Jeng Lin;Po-Hung Shen

  • Adaptive Control of Two-Axis Motion Control System Using Interval Type-2 Fuzzy Neural Network

    Faa-Jeng Lin;Po-Huan Chou

  • Real-time IP position controller design with torque feedforward control for PM synchronous motor

    Faa-Jeng Lin

  • A permanent-magnet synchronous motor servo drive using self-constructing fuzzy neural network controller

    Faa-Jeng Lin;Chih-Hong Lin

  • An Intelligent Second-Order Sliding-Mode Control for an Electric Power Steering System Using a Wavelet Fuzzy Neural Network

    Faa-Jeng Lin;Ying-Chih Hung;Kai-Chun Ruan

  • Reactive Power Control of Three-Phase Grid-Connected PV System During Grid Faults Using Takagi–Sugeno–Kang Probabilistic Fuzzy Neural Network Control

    Faa-Jeng Lin;Kuang-Chin Lu;Ting-Han Ke;Bo-Hui Yang

  • Adaptive backstepping control using recurrent neural network for linear induction motor drive

    Faa-Jeng Lin;Rong-Jong Wai;Wen-Der Chou;Shu-Peng Hsu

  • FPGA-Based Adaptive Backstepping Sliding-Mode Control for Linear Induction Motor Drive

    Faa-Jeng Lin;Chih-Kai Chang;Po-Kai Huang

  • FPGA-Based Intelligent-Complementary Sliding-Mode Control for PMLSM Servo-Drive System

    Faa-Jeng Lin;Jonq-Chin Hwang;Po-Huan Chou;Ying-Chih Hung

  • Hybrid control using recurrent fuzzy neural network for linear induction motor servo drive

    Faa-Jeng Lin;Rong-Jong Wai

  • Fault-Tolerant Control for Six-Phase PMSM Drive System via Intelligent Complementary Sliding-Mode Control Using TSKFNN-AMF

    Faa-Jeng Lin;Ying-Chih Hung;Meng-Ting Tsai

  • Adaptive wavelet neural network control with hysteresis estimation for piezo-positioning mechanism

    Faa-Jeng Lin;H.-J. Shieh;Po-Kai Huang

  • Fuzzy neural network position controller for ultrasonic motor drive using push-pull DC-DC converter

    Faa-Jeng Lin;R.-J. Wai;C.-C. Lee

  • Wavelet Fuzzy Neural Network With Asymmetric Membership Function Controller for Electric Power Steering System via Improved Differential Evolution

    Ying Chih Hung;Faa Jeng Lin;Jonq Chin Hwang;Jin Kuan Chang

  • Novel sliding mode controller for synchronous motor drive

    Faa-Jeng Lin;Sheng-Lyin Chiu;Kuo-Kai Shyu

Frequent Co-Authors

Rong-Jong Wai
Rong-Jong Wai National Taiwan University of Science and Technology
Kuo-Kai Shyu
Kuo-Kai Shyu National Central University
Chang-Ming Liaw
Chang-Ming Liaw National Tsing Hua University
Rong-Fong Fung
Rong-Fong Fung National Kaohsiung First University of Science and Technology
Shuai Li
Shuai Li University of Oulu
Lin Xiao
Lin Xiao Hunan Normal University
Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Chia-Chi Chu
Chia-Chi Chu National Tsing Hua University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students and professionals interested in Electronics and Electrical Engineering, exploring related online degrees can expand career opportunities. A bachelor's degree in project management is valuable for those aiming to lead engineering projects or manage technical teams effectively. Understanding project management principles complements engineering skills and enhances leadership potential.

Many learners balance education with work commitments. Degree programs for working adults offer flexible scheduling and accelerated timelines, making it easier to upskill without sacrificing employment. These programs are designed to accommodate busy professionals in engineering fields seeking to advance their knowledge.

For those interested in educational technology within engineering fields, earning an instructional design masters degree online can open doors to designing technical training and development programs. This specialized degree blends engineering expertise with instructional methodologies.

Finally, competency based masters degrees focus on demonstrating skills and knowledge rather than time spent in class. This approach is ideal for engineers who want to fast-track their education based on practical experience and mastery of core competencies.

Best Scientists Citing Faa-Jeng Lin

Trending Scientists

Recently Published Articles