Ming Jia

549 total citations
24 papers, 403 citations indexed

About

Ming Jia is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Ming Jia has authored 24 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Fluid Flow and Transfer Processes, 11 papers in Computational Mechanics and 7 papers in Materials Chemistry. Recurrent topics in Ming Jia's work include Advanced Combustion Engine Technologies (19 papers), Combustion and flame dynamics (9 papers) and Catalytic Processes in Materials Science (7 papers). Ming Jia is often cited by papers focused on Advanced Combustion Engine Technologies (19 papers), Combustion and flame dynamics (9 papers) and Catalytic Processes in Materials Science (7 papers). Ming Jia collaborates with scholars based in China, Spain and United States. Ming Jia's co-authors include Yachao Chang, Yaopeng Li, Maozhao Xie, Xue‐Song Bai, Leilei Xu, Guangfu Xu, Bo Niu, Javier Monsalve‐Serrano, Antonio García and Tianyou Wang and has published in prestigious journals such as Chemical Engineering Journal, Energy Conversion and Management and Energy.

In The Last Decade

Ming Jia

23 papers receiving 395 citations

Peers

Ming Jia
Jean-Baptiste Masurier Saudi Arabia
Toby Rockstroh United States
Binbin Yang China
Michał T. Lewandowski Norway
Qi Jiao United States
Gokul Vishwanathan United States
Gregory K. Lilik United States
Manzhi Tan China
Xiaokang Nie China
Haoqing Wu China
Jean-Baptiste Masurier Saudi Arabia
Ming Jia
Citations per year, relative to Ming Jia Ming Jia (= 1×) peers Jean-Baptiste Masurier

Countries citing papers authored by Ming Jia

Since Specialization
Citations

This map shows the geographic impact of Ming Jia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jia more than expected).

Fields of papers citing papers by Ming Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Jia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Jia. The network helps show where Ming Jia may publish in the future.

Co-authorship network of co-authors of Ming Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Jia. A scholar is included among the top collaborators of Ming Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Jia. Ming Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ding, Rui, Yaopeng Li, Haoran Li, et al.. (2025). Experimental optimization toward high efficiency and low emissions in an ammonia-fueled RCCI engine with various reactivity enhancements. Energy. 333. 137497–137497. 2 indexed citations
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Zhang, Lizong, et al.. (2024). Inductive link prediction via global relational semantic learning. Information Systems. 130. 102514–102514.
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Li, Haoran & Ming Jia. (2023). Measurements and Derivation of the Spray Simulation Required Physical Properties of Polyoxymethylene Dimethyl Ethers (PODEn). International Journal of Thermophysics. 44(3). 8 indexed citations
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Xu, Leilei, et al.. (2022). A skeletal chemical kinetic mechanism for ammonia/n-heptane combustion. Fuel. 331. 125830–125830. 123 indexed citations
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Niu, Bo, et al.. (2022). Construction of reduced chemical mechanisms orientated toward specific applications: a case study of primary reference fuel. Combustion Theory and Modelling. 26(3). 560–589. 4 indexed citations
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Xu, Leilei, et al.. (2022). A Skeletal Chemical Kinetic Mechanism for Ammonia/N-Heptane Combustion. SSRN Electronic Journal. 3 indexed citations
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Liu, Shuqi, et al.. (2022). A new skeletal kinetic model for methanol/ n-heptane dual fuels under engine-like conditions. Energy. 263. 125648–125648. 18 indexed citations
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Xu, Guangfu, Antonio García, Ming Jia, & Javier Monsalve‐Serrano. (2021). Computational optimization of the piston bowl geometry for the different combustion regimes of the dual-mode dual-fuel (DMDF) concept through an improved genetic algorithm. Energy Conversion and Management. 246. 114658–114658. 20 indexed citations
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Yang, Shiyou, Quan‐De Wang, Henry J. Curran, & Ming Jia. (2020). Development of a 5-component gasoline surrogate model using recent advancements in the detailed H2/O2/CO/C1-C3 mechanism for decoupling methodology. Fuel. 283. 118793–118793. 14 indexed citations
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Xu, Guangfu, Javier Monsalve‐Serrano, Ming Jia, & Antonio García. (2020). Computational optimization of the dual-mode dual-fuel concept through genetic algorithm at different engine loads. Energy Conversion and Management. 208. 112577–112577. 19 indexed citations
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Yang, Shiyou & Ming Jia. (2019). A Bio-Diesel Chemical Kinetic Mechanism Based on Decoupling Methodology and Detailed H2/O2/CO/C1~C3 Mechanism. Frontiers in Mechanical Engineering. 5. 1 indexed citations
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Jia, Ming, Liehui Zhang, & Jingjing Guo. (2017). Combining a connected-component labeling algorithm with FILTERSIM to simulate continuous discrete fracture networks. Environmental Earth Sciences. 76(8). 4 indexed citations
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Liu, Zeqing, Ming Jia, Jeong Sheok Ume, & Shin Min Kang. (2011). Positive Solutions for a Higher‐Order Nonlinear Neutral Delay Differential Equation. Abstract and Applied Analysis. 2011(1). 2 indexed citations
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Jia, Ming, et al.. (2006). Design of bionic flapping mechanism and its kinematic analysis. Beijing Hangkong Hangtian Daxue xuebao. 32(9). 1087. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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