World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
50
Citations
8182
World Ranking
1192
National Ranking
147

Overview

Ming Jia is affiliated with the Dalian University of Technology in China. Their research primarily focuses on engineering and chemical engineering, with significant contributions in computational mechanics and fluid flow and transfer processes. Additional subfields include biomedical engineering, materials chemistry, and electrical and electronic engineering.

The scientist's work concentrates on several key topics, including:

  • Advanced Combustion Engine Technologies
  • Combustion and flame dynamics
  • Heat transfer and supercritical fluids
  • Catalytic Processes in Materials Science
  • Fluid Dynamics and Heat Transfer
  • Biodiesel Production and Applications
  • Vehicle emissions and performance

Ming Jia has published extensively in various academic venues, with frequent appearances in:

  • SSRN Electronic Journal
  • Fuel
  • Energy
  • Combustion and Flame
  • Proceedings of the Combustion Institute

Recent papers showcase the range of their work:

  • "Towards a comprehensive optimization of engine efficiency and emissions by coupling artificial neural network (ANN) with genetic algorithm (GA)," 2021, Energy
  • "Numerical investigation on heat transfer of water spray cooling from single-phase to nucleate boiling region," 2020, International Journal of Thermal Sciences
  • "Spray-turbulence-chemistry interactions under engine-like conditions," 2021, Progress in Energy and Combustion Science
  • "A conceptual model of polyoxymethylene dimethyl ether 3 (PODE3) spray combustion under compression ignition engine-like conditions," 2024, Combustion and Flame
  • "Development of a practical reaction model of polycyclic aromatic hydrocarbon (PAH) formation and oxidation for diesel surrogate fuel," 2020, Fuel

Ming Jia collaborates regularly with multiple coauthors, including:

  • Yaopeng Li
  • Yachao Chang
  • Yanzhi Zhang
  • Huiquan Duan
  • Yikang Cai

Best Publications

  • Enhancement on a Skeletal Kinetic Model for Primary Reference Fuel Oxidation by Using a Semidecoupling Methodology

    Yao-Dong Liu;Ming Jia;Mao-Zhao Xie;Bin Pang

  • Numerical study on the combustion and emission characteristics of a methanol/diesel reactivity controlled compression ignition (RCCI) engine

    Yaopeng Li;Ming Jia;Yaodong Liu;Maozhao Xie

  • A reduced toluene reference fuel chemical kinetic mechanism for combustion and polycyclic-aromatic hydrocarbon predictions

    Hu Wang;Hu Wang;Mingfa Yao;Zongyu Yue;Ming Jia

  • Parametric study and optimization of a RCCI (reactivity controlled compression ignition) engine fueled with methanol and diesel

    Yaopeng Li;Ming Jia;Yachao Chang;Yaodong Liu

  • Development of a new skeletal mechanism for n-decane oxidation under engine-relevant conditions based on a decoupling methodology

    Yachao Chang;Ming Jia;Yaodong Liu;Yaopeng Li

  • Development of a skeletal mechanism for diesel surrogate fuel by using a decoupling methodology

    Yachao Chang;Ming Jia;Yaopeng Li;Yaodong Liu

  • Combustion and particle number emissions of a direct injection spark ignition engine operating on ethanol/gasoline and n-butanol/gasoline blends with exhaust gas recirculation

    Zhijin Zhang;Tianyou Wang;Ming Jia;Qun Wei

  • A chemical kinetics model of iso-octane oxidation for HCCI engines

    Ming Jia;Maozhao Xie

  • The effect of injection timing and intake valve close timing on performance and emissions of diesel PCCI engine with a full engine cycle CFD simulation

    Ming Jia;Maozhao Xie;Tianyou Wang;Zhijun Peng

  • Thermodynamic energy and exergy analysis of three different engine combustion regimes

    Yaopeng Li;Yaopeng Li;Ming Jia;Yachao Chang;Sage L. Kokjohn

  • Development of a reduced n-dodecane-PAH mechanism and its application for n-dodecane soot predictions

    Hu Wang;Youngchul Ra;Ming Jia;Rolf D. Reitz

  • Towards a comprehensive optimization of engine efficiency and emissions by coupling artificial neural network (ANN) with genetic algorithm (GA)

    Yaopeng Li;Yaopeng Li;Ming Jia;Xu Han;Xue Song Bai

  • Multiple-objective optimization of methanol/diesel dual-fuel engine at low loads: A comparison of reactivity controlled compression ignition (RCCI) and direct dual fuel stratification (DDFS) strategies

    Yaopeng Li;Yaopeng Li;Ming Jia;Leilei Xu;Leilei Xu;Xue Song Bai

  • Development of a New Skeletal Chemical Kinetic Model of Toluene Reference Fuel with Application to Gasoline Surrogate Fuels for Computational Fluid Dynamics Engine Simulation

    Yao-Dong Liu;Ming Jia;Mao-Zhao Xie;Bin Pang

  • Experimental and modeling study of liquid fuel injection and combustion in diesel engines with a common rail injection system

    Leilei Xu;Leilei Xu;Xue Song Bai;Ming Jia;Yong Qian

  • DEVELOPMENT OF A NEW SPRAY/WALL INTERACTION MODEL FOR DIESEL SPRAY UNDER PCCI-ENGINE RELEVANT CONDITIONS

    Yanzhi Zhang;Ming Jia;Hong Liu;Maozhao Xie

  • Towards a comprehensive understanding of the influence of fuel properties on the combustion characteristics of a RCCI (reactivity controlled compression ignition) engine

    Yaopeng Li;Ming Jia;Yachao Chang;Maozhao Xie

  • Neural network prediction of biodiesel kinematic viscosity at 313 K

    Xiangzan Meng;Ming Jia;Tianyou Wang

  • Development of a skeletal oxidation mechanism for biodiesel surrogate

    Yachao Chang;Ming Jia;Yaopeng Li;Yanzhi Zhang

  • Application of a Decoupling Methodology for Development of Skeletal Oxidation Mechanisms for Heavy n-Alkanes from n-Octane to n-Hexadecane

    Yachao Chang;Ming Jia;Yaodong Liu;Yaopeng Li

Frequent Co-Authors

Maozhao Xie
Maozhao Xie Dalian University of Technology
Tianyou Wang
Tianyou Wang Tianjin University
Rolf D. Reitz
Rolf D. Reitz University of Wisconsin–Madison
Hu Wang
Hu Wang Tianjin University
Kai H. Luo
Kai H. Luo University College London
Wei-Haur Lam
Wei-Haur Lam Tianjin University
Xingcai Lu
Xingcai Lu Shanghai Jiao Tong University
Zhixia He
Zhixia He Jiangsu University
Xue-Song Bai
Xue-Song Bai Lund University
Javier Monsalve-Serrano
Javier Monsalve-Serrano Universitat Politècnica de València

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 those interested in Mechanical and Aerospace Engineering, exploring related online degrees can broaden career options and skill sets. Understanding the online speech pathology degree programs cost can be helpful for students considering interdisciplinary fields that blend engineering with healthcare technologies.

Veterans seeking educational advancement will find valuable resources on online speech pathology bachelor degree for veterans, highlighting tailored support and benefits that can apply to engineering students transitioning from military service.

Accelerated learning options like accelerated speech pathology programs online showcase how fast-tracked degrees can reduce time to graduation — a concept increasingly adopted in various engineering disciplines to meet industry demands quickly.

Additionally, knowledge of varied career pathways such as those detailed in how to become a criminal profiler can inspire engineering graduates to consider unexpected, interdisciplinary roles that combine technical expertise with analytical skills.

Best Scientists Citing Ming Jia

Trending Scientists

Recently Published Articles