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Shan Zhao 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 Shan Zhao 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+

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

Shan Zhao 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 Shan Zhao 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+

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

Overview

Shan Zhao is affiliated with the University of Alabama in the United States and specializes in engineering with a focus on computational mechanics. Their research covers a range of topics within this field, including advanced numerical methods in computational mathematics and electromagnetic simulation, among others.

Their work spans several subfields of study, primarily:

  • Computational Mechanics
  • Molecular Biology
  • Electrical and Electronic Engineering
  • Numerical Analysis
  • Biomedical Engineering

Zhao's main research topics include:

  • Advanced Numerical Methods in Computational Mathematics
  • Electromagnetic Simulation and Numerical Methods
  • Lattice Boltzmann Simulation Studies
  • Differential Equations and Numerical Methods
  • Protein Structure and Dynamics
  • Numerical methods in engineering
  • Nanopore and Nanochannel Transport Studies

Their frequent collaborators include:

  • Yiming Ren
  • Emil Alexov
  • Guangqing Long
  • Hongsong Feng
  • Weihua Geng

Zhao has published extensively in various scientific journals. The most common publication venues are:

  • Journal of Computational Physics
  • SSRN Electronic Journal
  • Journal of Scientific Computing
  • Communications in Information and Systems
  • Applied Mathematics and Computation

Representative recent papers by Shan Zhao include:

  • "FFT-based high order central difference schemes for three-dimensional Poisson's equation with various types of boundary conditions," 2020, Journal of Computational Physics
  • "Bifurcation, chaotic behavior and solitary wave solutions for the Akbota equation," 2024, AIMS Mathematics
  • "Accelerator commissioning and rare isotope identification at the Facility for Rare Isotope Beams," 2022, Modern Physics Letters A
  • "A fourth order finite difference method for solving elliptic interface problems with the FFT acceleration," 2020, Journal of Computational Physics
  • "Regularization methods for the Poisson-Boltzmann equation: Comparison and accuracy recovery," 2020, Journal of Computational Physics

Best Publications

  • Biodegradable Metals for Cardiovascular Stents: from Clinical Concerns to Recent Zn‐Alloys

    Patrick K. Bowen;Emily R. Shearier;Shan Zhao;Roger J. Guillory

  • Emerging usage of electrocoagulation technology for oil removal from wastewater: A review.

    Chunjiang An;Gordon Huang;Gordon Huang;Yao Yao;Shan Zhao

  • High order matched interface and boundary method for elliptic equations with discontinuous coefficients and singular sources

    Y. C. Zhou;Shan Zhao;Michael Feig;G. W. Wei

  • Distribution, combined pollution and risk assessment of antibiotics in typical marine aquaculture farms surrounding the Yellow Sea, North China

    Q.F. Han;S. Zhao;X.R. Zhang;X.L. Wang

  • Novel high-strength, low-alloys Zn-Mg (< 0.1 wt% Mg) and their arterial biodegradation

    Hualan Jin;Shan Zhao;Roger Guillory;Patrick K. Bowen

  • High-order FDTD methods via derivative matching for Maxwell's equations with material interfaces

    Shan Zhao;G. W. Wei

  • Hardness, COD and turbidity removals from produced water by electrocoagulation pretreatment prior to Reverse Osmosis membranes

    Shan Zhao;Shan Zhao;Guohe Huang;Guohe Huang;Guanhui Cheng;Yafei Wang

  • Zn-Li alloy after extrusion and drawing: Structural, mechanical characterization, and biodegradation in abdominal aorta of rat.

    Shan Zhao;Jan-M. Seitz;Rainer Eifler;Hans J. Maier

  • Weak Galerkin methods for second order elliptic interface problems

    Lin Mu;Junping Wang;Guowei Wei;Xiu Ye

  • Structural Characteristics and In Vitro Biodegradation of a Novel Zn-Li Alloy Prepared by Induction Melting and Hot Rolling

    Shan Zhao;Cameron T. McNamara;Patrick K. Bowen;Nicholas Verhun

  • Minimal molecular surfaces and their applications.

    Peter W. Bates;Guo-Wei Wei;Shan Zhao

  • Emerging N-nitrosamines and N-nitramines from Amine-based Post-combustion CO2 Capture - A Review

    Xiujuan Chen;Gordon Huang;Chunjiang An;Yao Yao

  • Long-term surveillance of zinc implant in murine artery: Surprisingly steady biocorrosion rate.

    Adam J. Drelich;Shan Zhao;Roger J. Guillory;Jaroslaw W. Drelich

  • DSC analysis of free-edged beams by an iteratively matched boundary method

    Shan Zhao;G. W Wei;Yang Xiang

  • A new weak Galerkin finite element method for elliptic interface problems

    Lin Mu;Junping Wang;Xiu Ye;Shan Zhao

  • Numerical solution of the Helmholtz equation with high wavenumbers

    Gang Bao;Gang Bao;G. W. Wei;G. W. Wei;Shan Zhao

  • Materials Characterization of Feraheme/Ferumoxytol and Preliminary Evaluation of Its Potential for Magnetic Fluid Hyperthermia

    John P Bullivant;Shan Zhao;Brad J Willenberg;Bettina Kozissnik

  • A review on hydrodynamic cavitation disinfection: The current state of knowledge.

    Xun Sun;Jingting Liu;Li Ji;Guichao Wang

  • Evaluation of wrought Zn-Al alloys (1, 3, and 5 wt % Al) through mechanical and in vivo testing for stent applications.

    Patrick K. Bowen;Jan-Marten Seitz;Roger J. Guillory;Jacob P. Braykovich

  • Effect of the cavitation generation unit structure on the performance of an advanced hydrodynamic cavitation reactor for process intensifications

    Xun Sun;Weibin You;Xiaoxu Xuan;Li Ji

Frequent Co-Authors

Guohe Huang
Guohe Huang University of Regina
Guo-Wei Wei
Guo-Wei Wei Michigan State University
Chunjiang An
Chunjiang An Concordia University
Jaroslaw Drelich
Jaroslaw Drelich Michigan Technological University
Xiu Ye
Xiu Ye University of Arkansas at Little Rock
Edward A. McBean
Edward A. McBean University of Guelph
Yurui Fan
Yurui Fan Brunel University London
Chang Liu
Chang Liu Southern University of Science and Technology
Yang Wang
Yang Wang Hong Kong University of Science and Technology
Lalita Udpa
Lalita Udpa Michigan State University

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