World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
30
Citations
3239
World Ranking
3410
National Ranking
19

Rong-Fong Fung publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Rong-Fong Fung sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 143 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Rong-Fong Fung D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Rong-Fong Fung sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 30 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Rong-Fong Fung is affiliated with the National Kaohsiung First University of Science and Technology in Taiwan. Their research is primarily situated within the field of Engineering, with particular focus on Mechanical Engineering, Control and Systems Engineering, and Industrial and Manufacturing Engineering.

The scientist's recent publications concentrate on topics related to mechatronics and control systems, with work appearing exclusively in the International Journal of Dynamics and Control. The recent papers include:

  • Dynamic modelling and state observer-based robust control for a mechatronic system with temperature effect, 2021, International Journal of Dynamics and Control
  • Energy-saving trajectory planning by using Fourier sine series and tracking control for a mechatronic elevator system, 2021, International Journal of Dynamics and Control
  • Identification of a mechatronic motor-table system by using deep learning model, 2021, International Journal of Dynamics and Control

Research topics addressed by Rong-Fong Fung cover applications in automation, learning control, and industrial systems. Major themes in their work include:

  • Mechatronics Education and Applications
  • Iterative Learning Control Systems
  • Teleoperation and Haptic Systems
  • Elevator Systems and Control
  • Industrial Automation and Control Systems
  • Advanced Manufacturing and Logistics Optimization
  • Hydraulic and Pneumatic Systems

Rong-Fong Fung has collaborated frequently with several coauthors, including Kun-Yung Chen, Huang Min-sheng, and Wen-Chen Huang. Kun-Yung Chen appears as a coauthor on two of the recent papers, while Huang Min-sheng and Wen-Chen Huang each have contributed to one paper alongside Fung.

The scientist's publications emphasize control methodologies applied to mechatronic systems, including robust control, trajectory planning, and deep learning-based system identification. Their work addresses challenges in dynamic modeling and energy efficiency for mechanical and automated systems, often linking theoretical developments with practical applications in elevator systems and industrial environments.

Best Publications

  • The self-tuning PID control in a slider–crank mechanism system by applying particle swarm optimization approach

    Chih-Cheng Kao;Chin-Wen Chuang;Rong-Fong Fung

  • THE TRANSIENT AMPLITUDE OF THE VISCOELASTIC TRAVELLING STRING: AN INTEGRAL CONSTITUTIVE LAW

    R.-F. Fung;J.-S. Huang;Y.-C. Chen

  • A comparison of fitness functions for the identification of a piezoelectric hysteretic actuator based on the real-coded genetic algorithm

    Jih-Lian Ha;Ying-Shieh Kung;Rong-Fong Fung;Shao-Chien Hsien

  • Dynamic modeling and identification of a slider-crank mechanism

    Jih-Lian Ha;Rong-Fong Fung;Kun-Yung Chen;Shao-Chien Hsien

  • Comparison of sliding-mode and fuzzy neural network control for motor-toggle servomechanism

    Faa-Jeng Lin;Rong-Fong Fung;Rong-Jong Wai

  • Envelope order tracking for fault detection in rolling element bearings

    Yu Guo;Ting-Wei Liu;Jing Na;Rong-Fong Fung

  • Precision position control using combined piezo-VCM actuators

    Yung-Tien Liu;Rong-Fong Fung;Chun-Chao Wang

  • Boundary Control of an Axially Moving String Via Lyapunov Method

    Rong-Fong Fung;Chun-Chang Tseng

  • Minimum-Energy Point-to-Point Trajectory Planning for a Motor-Toggle Servomechanism

    Ming-Shyan Huang;Yi-Lung Hsu;Rong-Fong Fung

  • A new modified Reynolds equation for ultrathin film gas lubrication

    Chi-Chuan Hwang;Rong-Fong Fung;Rong-Fu Yang;Cheng-I Weng

  • FINITE ELEMENT ANALYSIS OF A THREE-DIMENSIONAL UNDERWATER CABLE WITH TIME-DEPENDENT LENGTH

    Pao-Hsii Wang;Rong-Fong Fung;Ming-Jer Lee

  • System identification of a dual-stage XY precision positioning table

    Rong-Fong Fung;Yi-Lung Hsu;Ming-Shyan Huang

  • Dynamic Modeling and Vibration Analysis of the Atomic Force Microscope

    Rong-Fong Fung;Shih-Chien Huang

  • Envelope extraction based dimension reduction for independent component analysis in fault diagnosis of rolling element bearing

    Yu Guo;Jing Na;Bin Li;Rong-Fong Fung

  • Optimal design of a micro-positioning Scott-Russell mechanism by Taguchi method

    Jih-Lian Ha;Ying-Shieh Kung;Sheng-Chuen Hu;Rong-Fong Fung

  • Dynamic model of an electromagnetic actuator for vibration control of a cantilever beam with a tip mass

    Rong-Fong Fung;Yung-Tien Liu;Chun-Chao Wang

  • Nonlinear dynamic analysis of the viscoelastic string with a harmonically varying transport speed

    Rong-Fong Fung;Jeng-Sheng Huang;Ying-Chang Chen;Chih-Min Yao

  • A variable structure control with proportional and integral compensations for electrohydraulic position servo control system

    Rong-Fong Fung;Yun-Chen Wang;Rongtai Yang;Hsing-Hsin Huang

  • Hysteresis identification and dynamic responses of the impact drive mechanism

    Jih-Lian Ha;Rong-Fong Fung;Chung-Shiang Yang

  • Adaptive Boundary Control of an Axially Moving String System

    Rong-Fong Fung;Jinn-Wen Wu;Pai-Yat Lu

  • Application of VSC in position control of a nonlinear electrohydraulic servo system

    Rong-Fong Fung;Rong-Tai Yang

  • Exponential stabilization of an axially moving string by linear boundary feedback

    Unknown

  • Performance analysis of a high-speed on/off valve based on an intelligent pulse-width modulation control

    Unknown

Frequent Co-Authors

Faa-Jeng Lin
Faa-Jeng Lin National Central University
Jing Na
Jing Na Kunming University of Science and Technology
Rong-Jong Wai
Rong-Jong Wai National Taiwan University of Science and Technology
Toshiro Higuchi
Toshiro Higuchi University of Tokyo

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