World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
62
Citations
12348
World Ranking
618
National Ranking
275

Materials Science

D-Index
61
Citations
11582
World Ranking
6868
National Ranking
1727

Yuebin Guo 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 Yuebin Guo 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: 180 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Yuebin Guo 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 Yuebin Guo 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: 62 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Composite material
  • Mechanical engineering
  • Metallurgy

His main research concerns Surface integrity, Residual stress, Composite material, Machining and Metallurgy. As a part of the same scientific study, he usually deals with the Surface integrity, concentrating on Surface finish and frequently concerns with Surface roughness. His work carried out in the field of Residual stress brings together such families of science as Selective laser melting and Laser.

In his research on the topic of Machining, Stress and Mechanical engineering is strongly related with Finite element method. His research on Metallurgy often connects related topics like Biomedical engineering. His work on Indentation hardness is typically connected to Aerospace and Fusion as part of general Microstructure study, connecting several disciplines of science.

His most cited work include:

  • A comprehensive experimental study on surface integrity by end milling Ti―6Al―4V (189 citations)
  • Finite element analysis of the effect of sequential cuts and tool-chip friction on residual stresses in a machined layer (164 citations)
  • SURFACE INTEGRITY CHARACTERIZATION AND PREDICTION IN MACHINING OF HARDENED AND DIFFICULT-TO-MACHINE ALLOYS: A STATE-OF-ART RESEARCH REVIEW AND ANALYSIS (153 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Surface integrity, Residual stress, Metallurgy, Composite material and Machining. Yuebin Guo has researched Surface integrity in several fields, including Surface finish, Microstructure, Corrosion and Shape-memory alloy. His Residual stress research is multidisciplinary, incorporating perspectives in Structural engineering, Finite element method, Stress and Strain hardening exponent.

His Finite element method research incorporates themes from Mechanical engineering, Material properties, Edge and Plasticity. His research on Composite material often connects related areas such as Forensic engineering. In his study, Specific energy is strongly linked to Machine tool, which falls under the umbrella field of Machining.

He most often published in these fields:

  • Surface integrity (50.00%)
  • Residual stress (45.12%)
  • Metallurgy (41.46%)

What were the highlights of his more recent work (between 2016-2019)?

  • Residual stress (45.12%)
  • Composite material (35.37%)
  • Machining (32.93%)

In recent papers he was focusing on the following fields of study:

Yuebin Guo focuses on Residual stress, Composite material, Machining, Surface integrity and Grain boundary. His work on Shot peening as part of general Residual stress study is frequently linked to Distortion, therefore connecting diverse disciplines of science. The concepts of his Composite material study are interwoven with issues in Spark and Wire speed.

His Machining research includes elements of Automotive engineering, Manufacturing engineering, Machine tool and Cutting tool. His Surface integrity study improves the overall literature in Metallurgy. His work deals with themes such as Electron backscatter diffraction, Annealing, Recrystallization and Anisotropy, which intersect with Grain boundary.

Between 2016 and 2019, his most popular works were:

  • Residual Stress in Metal Additive Manufacturing (111 citations)
  • Microstructure evolution characteristics of Inconel 625 alloy from selective laser melting to heat treatment (84 citations)
  • Energy consumption in machining: Classification, prediction, and reduction strategy (79 citations)

In his most recent research, the most cited papers focused on:

  • Composite material
  • Mechanical engineering
  • Metallurgy

Yuebin Guo mainly focuses on Microstructure, Residual stress, Manufacturing engineering, Machine tool and Inconel 625. His Microstructure study is concerned with Composite material in general. Yuebin Guo is studying Surface integrity, which is a component of Composite material.

His research integrates issues of Multiphysics, Engineering drawing and Heat flux in his study of Residual stress. His studies deal with areas such as Automotive engineering, Machining and Manufacturing cost as well as Manufacturing engineering. His Machine tool research includes themes of Process engineering and Water cooling.

Best Publications

  • Residual Stress in Metal Additive Manufacturing

    C. Li;Z. Y. Liu;X. Y. Fang;Yuebin Guo

  • A comprehensive experimental study on surface integrity by end milling Ti―6Al―4V

    J. Sun;Y.B. Guo

  • Finite element analysis of the effect of sequential cuts and tool-chip friction on residual stresses in a machined layer

    C.R. Liu;Y.B. Guo

  • A multiscale modeling approach for fast prediction of part distortion in selective laser melting

    C. Li;C.H. Fu;Y.B. Guo;F.Z. Fang

  • Biodegradable Orthopedic Magnesium-Calcium (MgCa) Alloys, Processing, and Corrosion Performance

    Meisam Salahshoor;Yuebin Guo

  • Microstructure evolution characteristics of Inconel 625 alloy from selective laser melting to heat treatment

    C. Li;R. White;X.Y. Fang;M. Weaver

  • SURFACE INTEGRITY CHARACTERIZATION AND PREDICTION IN MACHINING OF HARDENED AND DIFFICULT-TO-MACHINE ALLOYS: A STATE-OF-ART RESEARCH REVIEW AND ANALYSIS

    Y. B. Guo;W. Li;I. S. Jawahir

  • A FEM study on mechanisms of discontinuous chip formation in hard machining

    Y.B. Guo;David W. Yen

  • Energy consumption in machining: Classification, prediction, and reduction strategy

    G.Y. Zhao;Z.Y. Liu;Y. He;H.J. Cao

  • Efficient predictive model of part distortion and residual stress in selective laser melting

    C. Li;J.F. Liu;X.Y. Fang;Y.B. Guo

  • Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

    Shenghan Guo;Mohit Agarwal;Clayton Cooper;Qi Tian;Qi Tian

  • Shaping of engineering ceramics by electro, chemical and physical processes

    Eleonora Ferraris;Jef Vleugels;Yuebin Guo;David Bourell

  • Mechanical Properties of Hardened AISI 52100 Steel in Hard Machining Processes

    Yuebin Guo;C. R. Liu

  • Three-Dimensional Temperature Gradient Mechanism in Selective Laser Melting of Ti-6Al-4V

    C. H. Fu;Y. B. Guo

  • Surface Integrity Characteristics in Wire-EDM of Inconel 718 at Different Discharge Energy

    L. Li;Yuebin Guo;X. T. Wei;W. Li

  • Machinability and surface integrity of Nitinol shape memory alloy

    Yuebin Guo;Andreas Klink;Chenhao Fu;John Snyder

  • Massive parallel laser shock peening: Simulation, analysis, and validation

    A.W. Warren;Y.B. Guo;S.C. Chen

  • A comparative study of hard turned and cylindrically ground white layers

    Y.B Guo;J Sahni

  • 3D FEA Modeling of Hard Turning

    Y. B. Guo;C. R. Liu

  • Energy Consumption in Additive Manufacturing of Metal Parts

    Z. Y. Liu;C. Li;X. Y. Fang;Y. B. Guo

  • Surface Integrity Difference between Hard Turned and Ground Surfaces and Its Impact on Fatigue Life

    F. Hashimoto;Y.B. Guo;A.W. Warren

  • Finite Element Modeling of Burr Formation Process in Drilling 304 Stainless Steel

    Y. B. Guo;D. A. Dornfeld

  • A fundamental study on the impact of surface integrity by hard turning on rolling contact fatigue

    Dale W. Schwach;Y.B. Guo

Frequent Co-Authors

Zhanqiang Liu
Zhanqiang Liu Shandong University
Fengzhou Fang
Fengzhou Fang University College Dublin
David Dornfeld
David Dornfeld University of California, Berkeley
Shaochen Chen
Shaochen Chen University of California, San Diego
Mark F. Horstemeyer
Mark F. Horstemeyer Liberty University
Jian Cao
Jian Cao Northwestern University
Ranga Komanduri
Ranga Komanduri Oklahoma State University
Fritz Klocke
Fritz Klocke RWTH Aachen University
I.S. Jawahir
I.S. Jawahir University of Kentucky
Albert J. Shih
Albert J. Shih University of Michigan–Ann Arbor

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students exploring Mechanical and Aerospace Engineering, it’s valuable to consider related fields and flexible learning options. Online degrees can offer convenient alternatives, especially for those balancing work or other commitments. For example, if you are interested in human factors or cognitive engineering, exploring programs like the what is the easiest counseling degree might provide insight into more accessible counseling-related pathways.

Similarly, accelerating your education is possible through fast-tracked programs. The fastest online masters in applied behavior analysis highlights how certain degrees can be completed quickly, enabling early career entry or advancement. This model can inspire mechanical and aerospace students seeking efficient degree routes or interdisciplinary studies.

When considering graduate studies, it’s strategic to understand application dynamics. Knowing how many slp grad schools should i apply to informs applicants about the importance of applying broadly to increase acceptance chances, a principle that applies across engineering graduate programs as well.

Lastly, some programs are easier to get into, offering opportunities for students seeking entry points into competitive fields. The easiest slp programs to get into serve as examples for considering less competitive avenues, a useful strategy for those aiming to build credentials and experience in related engineering disciplines.

Best Scientists Citing Yuebin Guo

Trending Scientists