World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
5520
World Ranking
7757
National Ranking
32

Tek Tjing Lie 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 Tek Tjing Lie 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: 245 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Tek Tjing Lie 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 Tek Tjing Lie 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Tek Tjing Lie is affiliated with Auckland University of Technology in New Zealand. Their research primarily focuses on the field of Engineering, with significant contributions in Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, and Building and Construction.

Their work spans multiple specific topics including:

  • Smart Grid Energy Management
  • Electric Vehicles and Infrastructure
  • Advanced Battery Technologies Research
  • Microgrid Control and Optimization
  • Power System Optimization and Stability
  • Energy Load and Power Forecasting
  • Energy and Environment Impacts

Tek Tjing Lie has published extensively, especially in journals such as Energies, SSRN Electronic Journal, Electric Power Systems Research, Renewable Energy, and Electronics. The publication counts in these venues are as follows:

  • Energies: 16 publications
  • SSRN Electronic Journal: 7 publications
  • Electric Power Systems Research: 5 publications
  • Renewable Energy: 5 publications
  • Electronics: 3 publications

Recent papers authored or co-authored by Tek Tjing Lie include:

  • "Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques" (2021) published in Electronics
  • "The role of inertia for grid flexibility under high penetration of variable renewables - A review of challenges and solutions" (2021) published in Renewable and Sustainable Energy Reviews
  • "Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling" (2020) published in Energies
  • "Design of a hybrid energy management system using designed rule-based control strategy and genetic algorithm for the series-parallel plug-in hybrid electric vehicle" (2020) published in International Journal of Energy Research
  • "A rolling horizon scheduling of aggregated electric vehicles charging under the electricity exchange market" (2020) published in Applied Energy

The scientist collaborates frequently with other researchers, among whom are Ramon Zamora, Zaid H. Al-Tameemi, Kosala Gunawardane, Frede Blaabjerg, and Nicholas Mukisa. The number of joint publications ranges from 8 to 29 with these frequent co-authors.

Best Publications

  • A transmission line model for high-frequency power line communication channel

    H. Meng;S. Chen;Y.L. Guan;C.L. Law

  • Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques

    Syed Muhammad Arif;Tek Tjing Lie;Boon Chong Seet;Soumia Ayyadi

  • Determination of Short-Term Power Dispatch Schedule for a Wind Farm Incorporated With Dual-Battery Energy Storage Scheme

    D. L. Yao;S. S. Choi;K. J. Tseng;T. T. Lie

  • A Statistical Approach to the Design of a Dispatchable Wind Power-Battery Energy Storage System

    D.L. Yao;S.S. Choi;K.J. Tseng;T.T. Lie

  • The role of inertia for grid flexibility under high penetration of variable renewables - A review of challenges and solutions

    Peter Makolo;Ramon Zamora;Tek-Tjing Lie

  • Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling

    Asaad Mohammad;Ramon Zamora;Tek Tjing Lie

  • Application of the Shapley Value on transmission cost allocation in the competitive power market environment

    X. Tan;T.T. Lie

  • Adaptive control design for VSC-HVDC systems based on backstepping method

    Si-Ye Ruan;Guo-Jie Li;Xiao-Hong Jiao;Yuan-Zhang Sun

  • Optimal sizing of a wind-photovoltaic-battery hybrid renewable energy system considering socio-demographic factors

    S.R. Tito;T.T. Lie;T.N. Anderson

  • Modelling of large-scale electric vehicles charging demand: A New Zealand case study

    Jun Su;T.T. Lie;Ramon Zamora

  • Hourly global solar irradiation forecasting for New Zealand

    A. Ahmad;T.N. Anderson;T.T. Lie

  • Building Information Modelling for Smart Built Environments

    Jianchao Zhang;Boon-Chong Seet;Tek Tjing Lie

  • Medium term power planning with bilateral contracts

    G.B. Shrestha;B.K. Pokharel;Tek Tjing Lie;S.-E. Fleten

  • Opportunities for Software-Defined Networking in Smart Grid

    Jianchao Zhang;Boon-Chong Seet;Tek-Tjing Lie;Chuan Heng Foh

  • Review of prospects for adoption of fuel cell electric vehicles in New Zealand

    Arunkumar Jayakumar;Andrew Chalmers;Tek Tjing Lie

  • Basic control of interline power flow controller

    Jianhong Chen;T.T. Lie;D.M. Vilathgamuwa

  • ANN based pattern classification of synchronous generator stability and loss of excitation

    A.M. Sharaf;T.T. Lie

  • System voltage sag performance estimation

    J. Wang;S. Chen;T.T. Lie

  • Experimental study on the external electrical thermal and dynamic power characteristics of alkaline water electrolyzer

    Xiaojun Shen;Xiaoyun Zhang;Guojie Li;Tek Tjing Lie

  • The electric vehicle: a review

    Ning Ding;K. Prasad;T.T. Lie

  • A nonlinear control for enhancing HVDC light transmission system stability

    Si-Ye Ruan;Guo-Jie Li;Lin Peng;Yuan-Zhang Sun

  • Control strategy for dynamic voltage restorers to achieve minimum power injection without introducing sudden phase shift

    G.J. Li;X.P. Zhang;S.S. Choi;T.T. Lie

  • Event-Detection Algorithms for Low Sampling Nonintrusive Load Monitoring Systems Based on Low Complexity Statistical Features

    Attique Ur Rehman;Tek Tjing Lie;Brice Valles;Shafiqur Rahman Tito

Frequent Co-Authors

Stein-Erik Fleten
Stein-Erik Fleten Norwegian University of Science and Technology
Hoay Beng Gooi
Hoay Beng Gooi Nanyang Technological University
San Shing Choi
San Shing Choi Queensland University of Technology
King Jet Tseng
King Jet Tseng Singapore Institute of Technology
Yuanzhang Sun
Yuanzhang Sun Wuhan University
Rodney A. Badcock
Rodney A. Badcock Victoria University of Wellington
Akshya Swain
Akshya Swain University of Auckland
Arindam Ghosh
Arindam Ghosh Curtin University
D.M. Vilathgamuwa
D.M. Vilathgamuwa Queensland University of Technology
yong liang guan
yong liang guan Nanyang Technological University

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