World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5078
World Ranking
8738
National Ranking
95

Fan-Tien Cheng publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Fan-Tien Cheng sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 226 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Fan-Tien Cheng D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Fan-Tien Cheng sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to semiconductor manufacturing automation and force optimization in multiple-chain robotic mechanisms

Overview

Fan-Tien Cheng is affiliated with National Cheng Kung University in Taiwan. Their research primarily spans the field of engineering, with a focus on industrial and manufacturing engineering, mechanical engineering, control and systems engineering, automotive engineering, and electrical and electronic engineering. Their work covers diverse topics including industrial vision systems and defect detection, digital transformation in industry, manufacturing process and optimization, flexible and reconfigurable manufacturing systems, additive manufacturing materials and processes, additive manufacturing and 3D printing technologies, and fault detection and control systems.

The scientist has contributed to a notable number of publications with frequent appearances in the following venues:

  • IEEE Transactions on Automation Science and Engineering
  • IEEE Robotics and Automation Letters
  • 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
  • Journal of Drug Delivery Science and Technology
  • Computer Methods in Applied Mechanics and Engineering

Recent papers authored under their research area include:

  • A Novel Implementation Framework of Digital Twins for Intelligent Manufacturing Based on Container Technology and Cloud Manufacturing Services (2022, IEEE Transactions on Automation Science and Engineering)
  • Convolutional Neural Networks for Automatic Virtual Metrology (2021, IEEE Robotics and Automation Letters)
  • An Online AM Quality Estimation Architecture From Pool to Layer (2020, IEEE Transactions on Automation Science and Engineering)
  • Intelligent Additive Manufacturing Architecture for Enhancing Uniformity of Surface Roughness and Mechanical Properties of Laser Powder Bed Fusion Components (2022, IEEE Transactions on Automation Science and Engineering)
  • Phenylboronic acid-functionalized BSA@CuS@PpIX nanoparticles for enhanced antibacterial photodynamic/photothermal therapy (2023, Journal of Drug Delivery Science and Technology)

Collaborations have been established with multiple frequent co-authors in their research career, including:

  • Yu-Ming Hsieh
  • Haw-Ching Yang
  • Muhammad Adnan
  • Jan Wilch
  • Birgit Vogel-Heuser

Fan-Tien Cheng was named IEEE Fellow in 2008 for contributions to semiconductor manufacturing automation and force optimization in multiple-chain robotic mechanisms.

Best Publications

  • Efficient algorithm for optimal force distribution-the compact-dual LP method

    F.-T. Cheng;D.E. Orin

  • Resolving manipulator redundancy under inequality constraints

    Fan-Tien Cheng;Tsing-Hua Chen;York-Yih Sun

  • Quality prognostics system and method for manufacturing processes

    Fan-Tien Cheng;Yu-Chuan Su;Guo-Wei Huang;Min-Hsiung Hung

  • A Novel Virtual Metrology Scheme for Predicting CVD Thickness in Semiconductor Manufacturing

    Min-Hsiung Hung;Tung-Ho Lin;Fan-Tien Cheng;Rung-Chuan Lin

  • Optimal force distribution in multiple-chain robotic systems

    Fan-Tien Cheng;D.E. Orin

  • Study and resolution of singularities for a 6-DOF PUMA manipulator

    Fan-Tien Cheng;Tzung-Liang Hour;Tsing-Hua Chen;York-Yin Sun

  • Development of Advanced Manufacturing Cloud of Things (AMCoT)—A Smart Manufacturing Platform

    Yu-Chuan Lin;Min-Hsiung Hung;Hsien-Cheng Huang;Chao-Chun Chen

  • Application development of virtual metrology in semiconductor industry

    Jonathan Chang Yung-Cheng;Fan-Tien Cheng

  • Development of a system framework for the computer-integrated manufacturing execution system: A distributed object-oriented approach

    Fan Tien Cheng;Eric Shen;Jun Yan Deng;Kevin Nguyen

  • Developing an Automatic Virtual Metrology System

    Fan-Tien Cheng;Hsien-Cheng Huang;Chi-An Kao

  • Efficient formulation of the force-distribution equations for simple closed-chain robotic mechanisms

    Fan-Tien Cheng;D.E. Orin

  • The improved compact QP method for resolving manipulator redundancy

    Fan-Tien Cheng;Rong-Jing Sheu;Tsing-Hua Chen

  • Evaluating Reliance Level of a Virtual Metrology System

    Fan-Tien Cheng;Yeh-Tung Chen;Yu-Chuan Su;Deng-Lin Zeng

  • A Novel Implementation Framework of Digital Twins for Intelligent Manufacturing Based on Container Technology and Cloud Manufacturing Services

    Unknown

  • Dual-Phase Virtual Metrology Scheme

    Fan-Tien Cheng;Hsien-Cheng Huang;Chi-An Kao

  • Development of an e-Diagnostics/Maintenance framework for semiconductor factories with security considerations

    Min Hsiung Hung;Kuan Yii Chen;Rui Wen Ho;Fan-Tien Cheng

  • Torque optimization schemes for kinematically redundant manipulators

    Tsing‐Hua ‐H Chen;Fan-Tien Cheng;York‐Yih ‐Y Sun;Min‐Hsiung ‐H Hung

  • Accuracy and Real-Time Considerations for Implementing Various Virtual Metrology Algorithms

    Yu-Chuan Su;Tung-Ho Lin;Fan-Tien Cheng;Wei-Ming Wu

  • A processing quality prognostics scheme for plasma sputtering in TFT-LCD manufacturing

    Yu-Chuan Su;Min-Hsiung Hung;Fan-Tien Cheng;Yeh-Tung Chen

  • Development of Holonic Manufacturing Execution Systems

    Fan-Tien Cheng;Chih-Feng Chang;Shang-Lun Wu

  • Industry 4.1 for Wheel Machining Automation

    Fan-Tien Cheng;Hao Tieng;Haw-Ching Yang;Min-Hsiung Hung

  • The improved compact QP method for resolving manipulator redundancy

    Fan-Tien Cheng;Rong-Jing Sheu;Tsing-Hua Chen;Fan-Chu Kung

Frequent Co-Authors

David E. Orin
David E. Orin The Ohio State University

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