Jinhu Liang

1.6k total citations · 1 hit paper
74 papers, 1.2k citations indexed

About

Jinhu Liang is a scholar working on Fluid Flow and Transfer Processes, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Jinhu Liang has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Fluid Flow and Transfer Processes, 33 papers in Aerospace Engineering and 32 papers in Computational Mechanics. Recurrent topics in Jinhu Liang's work include Advanced Combustion Engine Technologies (46 papers), Combustion and flame dynamics (24 papers) and Rocket and propulsion systems research (21 papers). Jinhu Liang is often cited by papers focused on Advanced Combustion Engine Technologies (46 papers), Combustion and flame dynamics (24 papers) and Rocket and propulsion systems research (21 papers). Jinhu Liang collaborates with scholars based in China, Ireland and United States. Jinhu Liang's co-authors include Quan‐De Wang, Henry J. Curran, Snehasish Panigrahy, Shijun Dong, Amrit Bikram Sahu, Shashank S. Nagaraja, Goutham Kukkadapu, William J. Pitz, A. Abd El-Sabor Mohamed and Zuohua Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Jinhu Liang

67 papers receiving 1.2k citations

Hit Papers

Understanding the antagonistic effect of methanol as a co... 2021 2026 2022 2024 2021 50 100 150

Peers

Jinhu Liang
Jiankun Shao United States
Lars Zigan Germany
Xue Jiang China
Mohammed Alabbad Saudi Arabia
Erik Ninnemann United States
Travis Sikes United States
Tanvir Farouk United States
Jinhu Liang
Citations per year, relative to Jinhu Liang Jinhu Liang (= 1×) peers V. P. Zhukov

Countries citing papers authored by Jinhu Liang

Since Specialization
Citations

This map shows the geographic impact of Jinhu Liang'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 Jinhu Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhu Liang more than expected).

Fields of papers citing papers by Jinhu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinhu Liang. 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 Jinhu Liang. The network helps show where Jinhu Liang may publish in the future.

Co-authorship network of co-authors of Jinhu Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhu Liang. A scholar is included among the top collaborators of Jinhu Liang 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 Jinhu Liang. Jinhu Liang 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.
He, Ruining, Xuan Ren, Yiheng Tong, et al.. (2025). An experimental and modeling study on combustion characteristics of dimethyl ether/ nitrous oxide/ chlorine. Combustion and Flame. 275. 114071–114071.
2.
Dong, Shijun, A. Abd El-Sabor Mohamed, Jinhua Li, et al.. (2025). A comparative study on the effects of NO2 addition on the auto-ignition behavior of n-heptane, iso-octane and toluene at engine relevant conditions. Combustion and Flame. 276. 114118–114118.
3.
Yao, Qian, Lan Du, Jinhu Liang, et al.. (2025). Probing the Prediction of High-Temperature Ignition Delay Times of Jet Fuels via Machine Learning Approaches. Results in Engineering. 28. 107420–107420.
4.
Wang, Xinhui, Ning Zhang, Yang Cao, et al.. (2024). An experimental and chemical kinetic simulation study of the high-temperature pyrolysis of linear C1–C5 alcohols. Journal of Analytical and Applied Pyrolysis. 177. 106345–106345. 3 indexed citations
5.
Wang, Quan‐De, et al.. (2024). Ab initio chemical kinetics and shock-tube experimental study on nitrocyclohexane pyrolysis and combustion. Combustion and Flame. 269. 113693–113693.
6.
Ren, Xuan, Ruining He, Xinhui Wang, et al.. (2024). A comprehensive experimental and theoretical study of thermal response mechanisms of TKX-50 and HMX. Fuel. 375. 132623–132623. 5 indexed citations
7.
Pan, Junjie, et al.. (2024). Regression Rate and Combustion Efficiency of Composite Hybrid Rocket Grains Based on Modular Fuel Units. Aerospace. 11(4). 262–262. 1 indexed citations
8.
Wei, Xianggeng, Ning Zhang, Yanhong Dong, et al.. (2024). The influence of nitrous oxide on the ignition and flame propagation behaviors of RP-3 kerosene: Experimental and kinetic modeling study. Combustion and Flame. 273. 113951–113951.
9.
Liang, Jinhu, Anwen Wang, Xiaojie Li, et al.. (2024). An Experimental and Kinetic Modeling Study of the Laminar Burning Velocities of Ammonia/n-Heptane Blends. Energies. 17(19). 4874–4874.
10.
Liang, Jinhu, Ning Zhang, Xiaodong Li, et al.. (2023). Probing the effects of NO2 and N2O additions on the auto-ignition behaviors of gasoline at engine relevant conditions. Combustion and Flame. 259. 113188–113188. 4 indexed citations
11.
Liang, Jinhu, Zhao Chen, Xinhui Wang, et al.. (2023). An experimental and kinetic modeling study on the high-temperature ignition and pyrolysis characteristics of cyclohexylamine. Combustion and Flame. 252. 112769–112769. 12 indexed citations
12.
Xu, Zhixiang, Baisheng Li, Lebin Su, et al.. (2023). Development of a quadruple qRT-PCR assay for simultaneous identification of hypervirulent and carbapenem-resistant Klebsiella pneumoniae. Microbiology Spectrum. 12(1). e0071923–e0071923. 12 indexed citations
13.
Liang, Jinhu, Ruining He, Shashank S. Nagaraja, et al.. (2023). A wide range experimental and kinetic modeling study of the oxidation of 2,3-dimethyl-2-butene: Part 1. Combustion and Flame. 251. 112731–112731. 2 indexed citations
14.
Ren, Xuan, Hao Chen, Xiaolong Fu, et al.. (2023). Ab initio kinetics of H-atom abstraction from monomethylhydrazine. Combustion and Flame. 257. 112998–112998. 6 indexed citations
15.
Liang, Jinhu, Ruining He, Shijie Zheng, et al.. (2022). An experimental and detailed kinetic modeling study of the pyrolysis and oxidation of DMF over a wide range of conditions. Combustion and Flame. 245. 112314–112314. 13 indexed citations
16.
Wang, Quan‐De, et al.. (2021). Accelerating the optimization of enzyme-catalyzed synthesis conditions via machine learning and reactivity descriptors. Organic & Biomolecular Chemistry. 19(28). 6267–6273. 6 indexed citations
17.
Wang, Quan‐De, et al.. (2021). Data-driven machine learning model for the prediction of oxygen vacancy formation energy of metal oxide materials. Physical Chemistry Chemical Physics. 23(29). 15675–15684. 20 indexed citations
18.
Wang, Quan‐De, et al.. (2021). Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors. International Journal of Quantum Chemistry. 121(18). 8 indexed citations
19.
Wang, Quan‐De, et al.. (2021). Prediction of band gap for 2D hybrid organic–inorganic perovskites by using machine learning through molecular graphics descriptors. New Journal of Chemistry. 45(21). 9427–9433. 17 indexed citations
20.
Liang, Jinhu, et al.. (1994). The advances in the vanadium extraction by roasting in the presence of sodium salts.. 14(2). 53–55. 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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