World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
61
Citations
11874
World Ranking
658
National Ranking
86

Materials Science

D-Index
61
Citations
12099
World Ranking
6837
National Ranking
2026

Ya-Pu Zhao 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 Ya-Pu Zhao 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: 229 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Ya-Pu Zhao 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 Ya-Pu Zhao 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: 61 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Ya-Pu Zhao is affiliated with the Chinese Academy of Sciences in China and specializes in fields related to engineering and materials science. Their research spans multiple subfields including mechanics of materials, materials chemistry, biomedical engineering, mechanical engineering, and global and planetary change.

Their work frequently addresses topics such as hydrocarbon exploration and reservoir analysis, atmospheric and environmental gas dynamics, surface modification and superhydrophobicity, hydraulic fracturing and reservoir analysis, petroleum processing and analysis, coal properties and utilization, and micro and nano robotics.

Ya-Pu Zhao has published in several reputable venues with multiple contributions to Energy, Fuel, Energy & Fuels, Nature Communications, and Applied Energy. Notable recent papers include:

  • Entropy and enthalpy changes during adsorption and displacement of shale gas, 2021, Energy
  • Regional carbon emission pressure and corporate green innovation, 2024, Applied Energy
  • Predicting the components and types of kerogen in shale by combining machine learning with NMR spectra, 2020, Fuel
  • Evolution of pore structure and adsorption-desorption in oil shale formation rocks after compression, 2023, Energy
  • Fluctuation of fracturing curves indicates in-situ brittleness and reservoir fracturing characteristics in unconventional energy exploitation, 2022, Energy

Frequent collaborators of Ya-Pu Zhao include Xianfu Huang, Dongliang Kang, Xiaohe Wang, Qing Miao, and Peiliu Li, reflecting ongoing cooperative research endeavors. These collaborations strengthen the breadth and depth of the scientific contributions in their research areas.

Their work consistently intersects with the analysis and development of energy resources, particularly focusing on shale gas and oil shale reservoirs, reservoir fracturing, and carbon emissions related to energy production. Advanced methods such as machine learning integrated with experimental data like NMR spectra are applied within their studies to enhance understanding of complex material and chemical properties.

The combination of engineering disciplines with materials science and environmental considerations positions Ya-Pu Zhao's research at the intersection of technology development and sustainable resource management. Their contributions provide data-driven insights into hydrocarbon reservoirs and environmental impact factors, supporting broader energy research objectives.

Best Publications

  • Mechanics of adhesion in MEMS - a review

    Y. P. Zhao;L. S. Wang;T. X. Yu

  • Measurement of the Rate of Water Translocation through Carbon Nanotubes

    Xingcai Qin;Quanzi Yuan;Yapu Zhao;Shubao Xie

  • Adsorption of formaldehyde molecule on the intrinsic and Al-doped graphene: A first principle study

    Mei Chi;Ya-Pu Zhao

  • Size effect on the coalescence-induced self-propelled droplet

    Feng-Chao Wang;Fuqian Yang;Ya-Pu Zhao

  • Casimir Effect on the Pull-in Parameters of Nanometer Switches

    Lin WH(林文惠);Zhao YP(赵亚溥)

  • The effects of surface tension on the elastic properties of nano structures

    Zhi-Qiao Wang;Ya-Pu Zhao;Zhu-Ping Huang

  • Precursor film in dynamic wetting, electrowetting, and electro-elasto-capillarity.

    Quanzi Yuan;Ya-Pu Zhao

  • Nonlinear behavior for nanoscale electrostatic actuators with Casimir force

    Wen-Hui Lin;Ya-Pu Zhao

  • The size-dependent bending elastic properties of nanobeams with surface effects

    Jian-Gang Guo;Ya-Pu Zhao

  • Molecular Dynamics Simulation of Self-Aggregation of Asphaltenes at an Oil/Water Interface: Formation and Destruction of the Asphaltene Protective Film

    Juan Liu;Yapu Zhao;Sili Ren

  • Influence of van der Waals and Casimir forces on electrostatic torsional actuators

    Jian-Gang Guo;Ya-Pu Zhao

  • Numerical and Analytical Study on the Pull-in Instability of Micro-Structure under Electrostatic Loading

    Yin Zhang;Ya-pu Zhao

  • Growth of liquid bridge in AFM

    Zheng Wei;Zheng Wei;Ya-Pu Zhao

  • Hydroelectric voltage generation based on water-filled single-walled carbon nanotubes.

    Quanzi Yuan;Ya-Pu Zhao

  • Preparation and characterization of an ultrahydrophobic surface based on a stearic acid self-assembled monolayer over polyethyleneimine thin films

    Sili Ren;Shengrong Yang;Yapu Zhao;Tongxi Yu

  • Recyclable magnetic graphene oxide for rapid and efficient demulsification of crude oil-in-water emulsion

    Juan Liu;Huanjiang Wang;Xiaocheng Li;Weihong Jia

  • Ab Initio Study Of Zno-Based Gas-Sensing Mechanisms: Surface Reconstruction And Charge Transfer

    Quanzi Yuan;Ya-Pu Zhao;Limiao Li;Taihong Wang

  • The size-dependent elastic properties of nanofilms with surface effects

    Unknown

  • Demulsification of Crude Oil-in-Water Emulsions Driven by Graphene Oxide Nanosheets

    Juan Liu;Xiaocheng Li;Weihong Jia;Zhiyun Li

  • Modelling analysis of surface stress on a rectangular cantilever beam

    Yin Zhang;Quan Ren;Ya-pu Zhao

  • Deformation of PDMS membrane and microcantilever by a water droplet: comparison between Mooney-Rivlin and linear elastic constitutive models

    Ying-Song Yu;Ya-Pu Zhao

Frequent Co-Authors

Tongxi Yu
Tongxi Yu Hong Kong University of Science and Technology
Qingping Sun
Qingping Sun Hong Kong University of Science and Technology
Fuqian Yang
Fuqian Yang University of Kentucky
Huimin Xie
Huimin Xie Tsinghua University
John McLennan
John McLennan University of Utah
Xin Liu
Xin Liu Chinese Academy of Sciences
Xinghua Shi
Xinghua Shi Chinese Academy of Sciences
Daining Fang
Daining Fang Beijing Institute of Technology
Shengrong Yang
Shengrong Yang Chinese Academy of Sciences
Shixuan Du
Shixuan Du Chinese Academy of Sciences

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