World's Best Scientists 2026 revealed!
Chen Jiang

Chen Jiang

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
6276
World Ranking
5915
National Ranking
1132

Chen Jiang 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 Chen Jiang 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: 169 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Chen Jiang 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 Chen Jiang 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: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Chen Jiang is affiliated with Hunan University in China and is primarily engaged in research within the field of Engineering. Their work spans various subfields including Computational Mechanics, Aerospace Engineering, Mechanics of Materials, Mechanical Engineering, and Environmental Engineering.

Their research focuses predominantly on topics such as:

  • Lattice Boltzmann Simulation Studies
  • Aerodynamics and Fluid Dynamics Research
  • Advanced Numerical Methods in Computational Mathematics
  • Computational Fluid Dynamics and Aerodynamics
  • Numerical methods in engineering
  • Wind and Air Flow Studies
  • Fluid Dynamics Simulations and Interactions

Chen Jiang has published extensively in several notable venues, with frequent contributions to:

  • Engineering Analysis with Boundary Elements
  • Journal of Wind Engineering and Industrial Aerodynamics
  • Building and Environment
  • International Journal of Computational Methods
  • Physics of Fluids

Recent research papers authored or co-authored by Chen Jiang include:

  • "Interval K-L expansion of interval process model for dynamic uncertainty analysis" (2020) in Journal of Sound and Vibration
  • "A cell-based smoothed finite element model for the analysis of turbulent flow using realizable k-ε model and mixed meshes" (2024) in Journal of Computational Physics
  • "Deep learning-based planar crack damage evaluation using convolutional neural networks" (2021) in Engineering Fracture Mechanics
  • "A cell-based smoothed finite element method (CS-FEM) for three-dimensional incompressible laminar flows using mixed wedge-hexahedral element" (2021) in Engineering Analysis with Boundary Elements
  • "A coupled cell-based smoothed finite element method and discrete phase model for incompressible laminar flow with dilute solid particles" (2022) in Engineering Analysis with Boundary Elements

Throughout their career, Chen Jiang has collaborated frequently with a number of researchers, including:

  • Tiantian Wang
  • Guangjun Gao
  • Fangcheng Shi
  • Guo Zhou
  • Huifen Zhu

Best Publications

  • Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique

    C. Jiang;X. Han;G.Y. Lu;J. Liu

  • Structural reliability analysis using non-probabilistic convex model

    C. Jiang;R.G. Bi;G.Y. Lu;X. Han

  • Non-probabilistic convex model process: A new method of time-variant uncertainty analysis and its application to structural dynamic reliability problems

    C. Jiang;B.Y. Ni;X. Han;Y.R. Tao;Y.R. Tao

  • Optimization of structures with uncertain constraints based on convex model and satisfaction degree of interval

    C. Jiang;X. Han;G.R. Liu

  • Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review

    C. Jiang;J. Zheng;X. Han

  • A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty

    C. Jiang;Z. Zhang;X. Han;J. Liu

  • INTERVAL AND SUBINTERVAL ANALYSIS METHODS OF THE STRUCTURAL ANALYSIS AND THEIR ERROR ESTIMATIONS

    Y. T. Zhou;C. Jiang;X. Han

  • A time-variant reliability analysis method based on stochastic process discretization

    C. Jiang;X. P. Huang;X. Han;D. Q. Zhang

  • Multidimensional parallelepiped model—a new type of non-probabilistic convex model for structural uncertainty analysis

    C. Jiang;Q. F. Zhang;X. Han;J. Liu

  • A sequential nonlinear interval number programming method for uncertain structures

    C. Jiang;X. Han;G.P. Liu

  • An improved multidimensional parallelepiped non-probabilistic model for structural uncertainty analysis

    B.Y. Ni;C. Jiang;X. Han

  • A Hybrid Reliability Approach Based on Probability and Interval for Uncertain Structures

    C. Jiang;X. Han;W. X. Li;J. Liu

  • A Vine-Copula-Based Reliability Analysis Method for Structures With Multidimensional Correlation

    C. Jiang;W. Zhang;X. Han;B. Y. Ni

  • Discussions on non-probabilistic convex modelling for uncertain problems

    B.Y. Ni;C. Jiang;Z.L. Huang

  • A new reliability analysis method for uncertain structures with random and interval variables

    C. Jiang;G. Y. Lu;X. Han;L. X. Liu

  • Structural reliability analysis using a copula-function-based evidence theory model

    C. Jiang;W. Zhang;B. Wang;X. Han

  • An outcrossing rate model and its efficient calculation for time-dependent system reliability analysis

    Chao Jiang;Xinpeng Wei;Zhiliang Huang;Jie Liu

  • A response surface approach for structural reliability analysis using evidence theory

    Z. Zhang;C. Jiang;X. Han;Dean Hu

  • DYNAMIC LOAD IDENTIFICATION FOR UNCERTAIN STRUCTURES BASED ON INTERVAL ANALYSIS AND REGULARIZATION METHOD

    J. Liu;X. Han;C. Jiang;H. M. Ning

  • Uncertain optimization of composite laminated plates using a nonlinear interval number programming method

    C. Jiang;X. Han;G. P. Liu

Frequent Co-Authors

Xu Han
Xu Han Hebei University of Technology
Gui-Rong Liu
Gui-Rong Liu University of Cincinnati
Jie Liu
Jie Liu Hunan University
Wei Gao
Wei Gao University of New South Wales
Mingxin Huang
Mingxin Huang University of Hong Kong
Zheng Zhang
Zheng Zhang Southern University of Science and Technology
Trung Nguyen-Thoi
Trung Nguyen-Thoi Van Lang University
Isaac Elishakoff
Isaac Elishakoff Florida Atlantic University
Qihong Fang
Qihong Fang Hunan University
Dejie Yu
Dejie Yu Hunan University

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