World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
9674
World Ranking
2895
National Ranking
16

Zhen Gao 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 Zhen Gao 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: 275 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Zhen Gao 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 Zhen Gao 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Zhen Gao is a researcher affiliated with the Norwegian University of Science and Technology in Norway. Their academic focus primarily lies in the field of Engineering, with significant contributions across several specialized subfields such as Ocean Engineering, Computational Mechanics, Aerospace Engineering, Control and Systems Engineering, and Mechanical Engineering.

The scientist's work extensively covers topics related to Wave and Wind Energy Systems, Fluid Dynamics and Vibration Analysis, Wind Energy Research and Development, Vibration and Dynamic Analysis, Mechanical Stress and Fatigue Analysis, Ocean Waves and Remote Sensing, and Machine Fault Diagnosis Techniques.

Zhen Gao has authored numerous publications, with recent notable papers listed below:

  • Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks, 2021, Renewable Energy
  • Design and comparative analysis of alternative mooring systems for floating wind turbines in shallow water with emphasis on ultimate limit state design, 2020, Ocean Engineering
  • A review on the technical development of combined wind and wave energy conversion systems, 2024, Energy
  • Numerical modelling of hydrodynamic responses of Ocean Farm 1 in waves and current and validation against model test measurements, 2021, Marine Structures
  • Experimental study of vortex-induced vibration of a twin-tube submerged floating tunnel segment model, 2020, Journal of Fluids and Structures

The body of work reflects collaboration with several frequent co-authors, including:

  • Torgeir Moan (15 joint publications)
  • Zhiyu Jiang (7 joint publications)
  • Amir R. Nejad (6 joint publications)
  • Zhengshun Cheng (6 joint publications)
  • Svein Sævik (5 joint publications)

Their publications appear predominantly in the following venues, indicating the primary outlets for their research:

  • Ocean Engineering (16 publications)
  • Marine Structures (9 publications)
  • Renewable Energy (7 publications)
  • SSRN Electronic Journal (6 publications)
  • Journal of Offshore Mechanics and Arctic Engineering (5 publications)

Zhen Gao's research reflects a cross-disciplinary approach with a strong emphasis on advanced modeling, diagnostic techniques, and renewable energy systems related to ocean and wind engineering. The combination of extensive publication records, collaboration networks, and focus on emerging energy technologies positions them as an active contributor to their fields of study.

Best Publications

  • Foundations of offshore wind turbines: A review

    Xiaoni Wu;Yu Hu;Ye Li;Jian Yang

  • Fatigue reliability analysis of the jacket support structure for offshore wind turbine considering the effect of corrosion and inspection

    Wenbin Dong;Torgeir Moan;Zhen Gao

  • Offshore Code Comparison Collaboration Continuation (OC4), Phase I—Results of Coupled Simulations of an Offshore Wind Turbine with Jacket Support Structure

    Wojciech Popko;Fabian Vorpahl;Adam Zuga;Martin Kohlmeier

  • Offshore code comparison collaboration continuation (OC4), phase I - Results of coupled simulations of an offshore wind turbine with jacket support structure

    Wojciech Popko;Fabian Vorpahl;Adam Zuga;Martin Kohlmeier

  • On long-term fatigue damage and reliability analysis of gears under wind loads in offshore wind turbine drivetrains

    Amir Rasekhi Nejad;Zhen Gao;Torgeir Moan

  • Extreme responses of a combined spar-type floating wind turbine and floating wave energy converter (STC) system with survival modes

    Made Jaya Muliawan;Madjid Karimirad;Zhen Gao;Torgeir Moan

  • Long-term fatigue analysis of multi-planar tubular joints for jacket-type offshore wind turbine in time domain

    Wenbin Dong;Torgeir Moan;Zhen Gao

  • Joint Distribution of Environmental Condition at Five European Offshore Sites for Design of Combined Wind and Wave Energy Devices

    Lin Li;Zhen Gao;Torgeir Moan

  • Design optimization of a spatial six degree-of-freedom parallel manipulator based on artificial intelligence approaches

    Zhen Gao;Dan Zhang;Yunjian Ge

  • Experimental and numerical study of hydrodynamic responses of a combined wind and wave energy converter concept in survival modes

    Ling Wan;Zhen Gao;Torgeir Moan

  • Model-based Fault Detection, Fault Isolation and Fault-tolerant Control of a Blade Pitch System in Floating Wind Turbines

    Seongpil Cho;Zhen Gao;Torgeir Moan

  • Frequency-domain fatigue analysis of wide-band stationary Gaussian processes using a trimodal spectral formulation

    Zhen Gao;Torgeir Moan

  • Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks

    Seongpil Cho;Minjoo Choi;Zhen Gao;Torgeir Moan

  • Performance Analysis, Mapping, and Multiobjective Optimization of a Hybrid Robotic Machine Tool

    Zhen Gao;Dan Zhang

  • Structural Reliability Analysis of Wind Turbines: A Review

    Zhiyu Jiang;Weifei Hu;Wenbin Dong;Zhen Gao

  • Design and comparative analysis of alternative mooring systems for floating wind turbines in shallow water with emphasis on ultimate limit state design

    Kun Xu;Kun Xu;Kjell Larsen;Yanlin Shao;Yanlin Shao;Min Zhang

  • Joint Environmental Data at Five European Offshore Sites for Design of Combined Wind and Wave Energy Devices

    Lin Li;Zhen Gao;Torgeir Moan

  • Experimental and numerical study of the response of the offshore combined wind/wave energy concept SFC in extreme environmental conditions

    Constantine Michailides;Zhen Gao;Torgeir Moan

  • Time domain-based gear contact fatigue analysis of a wind turbine drivetrain under dynamic conditions

    Wenbin Dong;Yihan Xing;Torgeir Moan;Zhen Gao

  • Experimental study of the functionality of a semisubmersible wind turbine combined with flap-type Wave Energy Converters

    Constantine Michailides;Zhen Gao;Torgeir Moan

  • Offshore Code Comparison Collaboration within IEA Wind Task 23: Phase IV Results Regarding Floating Wind Turbine Modeling; Preprint

    J. Jonkman;T. Larsen;A. Hansen;T. Nygaard

  • Hydroelastic code-to-code comparison for a tension leg spar-type floating wind turbine

    Madjid Karimirad;Quentin Meissonnier;Zhen Gao;Torgeir Moan

  • Extreme Responses of a Combined Spar-type Floating Wind Turbine and Floating Wave Energy Converter (STC) System with Survival Modes: Journal of Ocean Engineering, OE-S-12-005191, Ocean Engineering 65 (2013) 71–82

    Made Jaya Muliawan;Madjid Karimirad;Zhen Gao;Torgeir Moan

Frequent Co-Authors

Torgeir Moan
Torgeir Moan Norwegian University of Science and Technology
Erin Elizabeth Bachynski
Erin Elizabeth Bachynski Norwegian University of Science and Technology
Mogens Blanke
Mogens Blanke Technical University of Denmark
Jason Jonkman
Jason Jonkman National Renewable Energy Laboratory
Helge Aagaard Madsen
Helge Aagaard Madsen Technical University of Denmark
Markus Mueller
Markus Mueller University of Edinburgh
Anca Daniela Hansen
Anca Daniela Hansen Technical University of Denmark
Shijun Liao
Shijun Liao Shanghai Jiao Tong University
Alistair G.L. Borthwick
Alistair G.L. Borthwick University of Edinburgh
Robert E. Melchers
Robert E. Melchers University of Newcastle Australia

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