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Engineering and Technology
Germany
2026

D-Index & Metrics

Engineering and Technology

D-Index
84
Citations
27010
World Ranking
415
National Ranking
10

Xiaoying Zhuang 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 Xiaoying Zhuang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 512 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Xiaoying Zhuang 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 Xiaoying Zhuang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 84 D-Index — 96th percentile

96% 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

  • 2026 - Research.com Engineering and Technology in Germany Leader Award

Best Publications

  • An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

    E. Samaniego;C. Anitescu;S. Goswami;V.M. Nguyen-Thanh

  • Dual‐horizon peridynamics

    Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Yongchang Cai;Yongchang Cai;Timon Rabczuk;Timon Rabczuk

  • Dual-horizon peridynamics: A stable solution to varying horizons

    Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Timon Rabczuk

  • A software framework for probabilistic sensitivity analysis for computationally expensive models

    N. Vu-Bac;T. Lahmer;X. Zhuang;T. Nguyen-Thoi

  • Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles

    Bohayra Mortazavi;Brahmanandam Javvaji;Fazel Shojaei;Timon Rabczuk

  • A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

    Hongwei Guo;Xiaoying Zhuang;Timon Rabczuk

  • Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies

    Shuwei Zhou;Shuwei Zhou;Timon Rabczuk;Xiaoying Zhuang;Xiaoying Zhuang

  • Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning

    Xiaoying Zhuang;Xiaoying Zhuang;Hongwei Guo;Naif Alajlan;Hehua Zhu

  • An extended isogeometric thin shell analysis based on Kirchhoff-Love theory

    N. Nguyen-Thanh;N. Valizadeh;M. N. Nguyen;H. Nguyen-Xuan

  • A phase-field modeling approach of fracture propagation in poroelastic media

    Shuwei Zhou;Shuwei Zhou;Xiaoying Zhuang;Timon Rabczuk

  • Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions

    Khader M. Hamdia;Khader M. Hamdia;Mohammad Silani;Xiaoying Zhuang;Pengfei He

  • A nonlocal operator method for partial differential equations with application to electromagnetic waveguide problem

    Timon Rabczuk;Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang

  • Fracture modeling using meshless methods and level sets in 3D: Framework and modeling

    X. Zhuang;X. Zhuang;C.E. Augarde;K.M. Mathisen

  • Fracture properties prediction of clay/epoxy nanocomposites with interphase zones using a phase field model

    Mohammed A. Msekh;Mohammed A. Msekh;N. H. Cuong;Goangseup Zi;P. Areias

  • First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials.

    Bohayra Mortazavi;Mohammad Silani;Evgeny V. Podryabinkin;Timon Rabczuk

  • A deep energy method for finite deformation hyperelasticity

    Vien Minh Nguyen-Thanh;Xiaoying Zhuang;Timon Rabczuk

  • Phase-field modeling of fluid-driven dynamic cracking in porous media

    Shuwei Zhou;Shuwei Zhou;Shuwei Zhou;Xiaoying Zhuang;Xiaoying Zhuang;Timon Rabczuk

  • An explicit phase field method for brittle dynamic fracture

    Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Cosmin Anitescu;Timon Rabczuk

  • An efficient optimization approach for designing machine learning models based on genetic algorithm

    Khader M. Hamdia;Xiaoying Zhuang;Timon Rabczuk

  • Phase field modelling of crack propagation, branching and coalescence in rocks

    Shuwei Zhou;Shuwei Zhou;Xiaoying Zhuang;Xiaoying Zhuang;Hehua Zhu;Timon Rabczuk

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