World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
33
Citations
5114
World Ranking
2991
National Ranking
1023

Jyh-Yuan Chen 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 Jyh-Yuan Chen 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: 137 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Jyh-Yuan Chen 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 Jyh-Yuan Chen 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Jyh-Yuan Chen is affiliated with the University of California, Berkeley in the United States. Their research touches on a range of topics primarily centered on engineering and medicine, with a notable focus on combustion and plasma applications.

The main fields of study for Chen include:

  • Engineering
  • Medicine

Their research further delves into several subfields, including:

  • Radiology, Nuclear Medicine and Imaging
  • Aerospace Engineering
  • Computational Mechanics
  • Fluid Flow and Transfer Processes
  • Electrical and Electronic Engineering

Chen's prominent research topics span:

  • Combustion and Detonation Processes
  • Plasma Applications and Diagnostics
  • Advanced Combustion Engine Technologies
  • Combustion and flame dynamics
  • Plasma Diagnostics and Applications
  • Energetic Materials and Combustion
  • Advancements in Battery Materials

They have contributed numerous publications to several academic venues, with frequent appearances in the following journals:

  • Combustion and Flame
  • Proceedings of the Combustion Institute
  • Energy Conversion and Management
  • European Heart Journal
  • arXiv (Cornell University)

Selected recent papers authored include:

  • Engine efficiency enhancement and operation range extension by argon power cycle using natural gas, 2020, Applied Energy
  • Prediction and optimization of emission in an agricultural harvest engine with biodiesel-diesel blends by a method of ANN and CMA-ES, 2022, Computers and Electronics in Agriculture
  • Experimental study of microwave assisted spark ignition on expanding C2H2-Air spherical flames, 2020, Combustion and Flame
  • Strengthening effect of microwave on spark ignited spherical expanding flames of methane-air mixture, 2020, Energy Conversion and Management
  • Reduced reaction mechanism for natural gas combustion in novel power cycles, 2020, Combustion and Flame

Chen frequently collaborates with several co-authors in their research endeavors. The most common collaborators include:

  • Zhaowen Wang
  • Huimin Wu
  • Xiaobei Cheng
  • Xinhua Zhang
  • Chaohui Liu

Best Publications

  • Fundamentals of Combustion Processes

    Sara McAllister;Jyh-Yuan Chen;A. Carlos Fernandez-Pello

  • Simultaneous laser raman-rayleigh-lif measurements and numerical modeling results of a lifted turbulent H2/N2 jet flame in a vitiated coflow

    R. Cabra;T. Myhrvold;J.Y. Chen;R.W. Dibble

  • An Approach for Formulating Surrogates for Gasoline with Application toward a Reduced Surrogate Mechanism for CFD Engine Modeling

    M. Mehl;J. Y. Chen;W. J. Pitz;Subram Sarathy

  • Experiments on the scalar structure of turbulent CO/H2/N2 jet flames

    R.S. Barlow;G.J. Fiechtner;C.D. Carter;J.-Y. Chen

  • An augmented reduced mechanism for methane oxidation with comprehensive global parametric validation

    C.J. Sung;C.K. Law;J.-Y. Chen

  • ‘One-dimensional turbulence’ simulation of turbulent jet diffusion flames: model formulation and illustrative applications

    Tarek Echekki;Alan R Kerstein;Thomas D Dreeben;Jyh-Yuan Chen

  • Intermediate temperature heat release in an HCCI engine fueled by ethanol/n-heptane mixtures: An experimental and modeling study

    David Vuilleumier;David Vuilleumier;Darko Kozarac;Marco Mehl;Samveg Saxena

  • Raman/Rayleigh scattering and CO-LIF measurements in laminar and turbulent jet flames of dimethyl ether

    Frederik Fuest;Robert S. Barlow;Jyh-Yuan Chen;Andreas Dreizler

  • A model for soot formation in a laminar diffusion flame

    Unknown

  • Chemical response of methane/air diffusion flames to unsteady strain rate

    Hong G Im;Jacqueline H Chen;Jyh-Yuan Chen

  • A 5-step reduced mechanism for combustion of CO/H2/H2O/CH4/CO2 mixtures with low hydrogen/methane and high H2O content

    Zacharias Marinou Nikolaou;Jyh-Yuan Chen;Nedunchezhian Swaminathan

  • Fast prediction of start-of-combustion in HCCI with combined artificial neural networks and ignition delay model

    Unknown

  • Effects of water content on evaporation and combustion characteristics of water emulsified diesel spray

    Zhaowen Wang;Shuguo Shi;Sheng Huang;Jie Tang

  • Evaluation of CH4/NOx Reduced Mechanisms Used for Modeling Lean Premixed Turbulent Combustion of Natural Gas

    H. P. Mallampalli;T. H. Fletcher;J. Y. Chen

  • PDF modeling and analysis of thermal NO formation in turbulent nonpremixed hydrogen-air jet flames

    Unknown

  • A NUMERICAL INVESTIGATION OF A LIFTED H2/N2 TURBULENT JET FLAME IN A VITIATED COFLOW

    T. Myhrvold;I. S. Ertesvåg;I. R. Gran;R. Cabra

  • Numerical studies of methane catalytic combustion inside a monolith honeycomb reactor using multi-step surface reactions

    Chen-Pang Chou;Jyh-Yuan Chen;Greg H. Evans;William S. Winters

  • Flamelet-based modeling of NO formation in turbulent hydrogen jet diffusion flames

    J.P.H. Sanders;J.-Y. Chen;I. Gökalp

  • The effects of intake pressure, fuel concentration, and bias voltage on the detection of ions in a Homogeneous Charge Compression Ignition (HCCI) engine

    Gregory Bogin;Jyh-Yuan Chen;Robert W. Dibble

  • Selecting the optimum quasi-steady-state species for reduced chemical kinetic mechanisms using a genetic algorithm

    Unknown

  • Modeling plasma-assisted methane–air ignition using pre-calculated electron impact reaction rates

    Anthony C. DeFilippo;Jyh-Yuan Chen

  • Development of a reduced chemical mechanism targeted for a 5-component gasoline surrogate: A case study on the heat release nature in a GCI engine

    Yulin Chen;Benjamin Wolk;Marco Mehl;Wai K. Cheng

  • Ab initio calculation and kinetic modeling study of diethyl ether ignition with application toward a skeletal mechanism for CI engine modeling

    Erjiang Hu;Yulin Chen;Zihang Zhang;Jyh-Yuan Chen

  • Laminar flame speeds of stratified methane, propane, and n-heptane flames

    Xian Shi;Jyh-Yuan Chen;Yulin Chen

  • Numerical study of laminar flame speed of fuel-stratified hydrogen/air flames

    Xian Shi;Jyh-Yuan Chen;Zheng Chen

  • Maximizing Power Output in an Automotive Scale Multi-Cylinder Homogeneous Charge Compression Ignition (HCCI) Engine

    Samveg Saxena;Jyh-Yuan Chen;Robert Dibble

  • A Eulerian PDF scheme for LES of nonpremixed turbulent combustion with second-order accurate mixture fraction

    J.-Y. Chen

Frequent Co-Authors

Robert W. Dibble
Robert W. Dibble King Abdullah University of Science and Technology
Robert S. Barlow
Robert S. Barlow Sandia National Laboratories
Hong G. Im
Hong G. Im King Abdullah University of Science and Technology
Chung King Law
Chung King Law Princeton University
Robert W. Pitz
Robert W. Pitz Vanderbilt University
Marco Mehl
Marco Mehl Lawrence Livermore National Laboratory
Chih-Jen Sung
Chih-Jen Sung University of Connecticut
Daniel L. Flowers
Daniel L. Flowers Lawrence Livermore National Laboratory
John L. Lumley
John L. Lumley Cornell University
Salvador M. Aceves
Salvador M. Aceves Lawrence Livermore National Laboratory

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