Ningxin Tan

613 total citations
21 papers, 516 citations indexed

About

Ningxin Tan is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Organic Chemistry. According to data from OpenAlex, Ningxin Tan has authored 21 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Fluid Flow and Transfer Processes, 9 papers in Computational Mechanics and 6 papers in Organic Chemistry. Recurrent topics in Ningxin Tan's work include Advanced Combustion Engine Technologies (13 papers), Combustion and flame dynamics (8 papers) and Catalysis and Oxidation Reactions (4 papers). Ningxin Tan is often cited by papers focused on Advanced Combustion Engine Technologies (13 papers), Combustion and flame dynamics (8 papers) and Catalysis and Oxidation Reactions (4 papers). Ningxin Tan collaborates with scholars based in China and United States. Ningxin Tan's co-authors include Xiangyuan Li, J. Wang, Quan‐De Wang, Juanqin Li, Zerong Li, Junjiang Guo, Jianli Wang, Hongbo Ning, Jingbo Wang and Shiyun Tang and has published in prestigious journals such as The Journal of Physical Chemistry A, RSC Advances and Combustion and Flame.

In The Last Decade

Ningxin Tan

21 papers receiving 512 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ningxin Tan China 11 274 216 149 133 93 21 516
Juanqin Li China 7 154 0.6× 149 0.7× 185 1.2× 235 1.8× 61 0.7× 17 515
Yann Fenard France 14 411 1.5× 245 1.1× 173 1.2× 151 1.1× 106 1.1× 36 547
Ramees K. Rahman United States 17 236 0.9× 175 0.8× 206 1.4× 131 1.0× 90 1.0× 62 580
Feiyu Yang China 19 424 1.5× 283 1.3× 150 1.0× 96 0.7× 193 2.1× 36 620
Iftikhar A. Awan United States 15 184 0.7× 121 0.6× 108 0.7× 143 1.1× 55 0.6× 30 464
Ehson F. Nasir Saudi Arabia 15 444 1.6× 382 1.8× 113 0.8× 177 1.3× 114 1.2× 23 726
Erik Ninnemann United States 17 478 1.7× 415 1.9× 97 0.7× 138 1.0× 227 2.4× 47 718
Vijai Shankar Bhavani Shankar Saudi Arabia 12 563 2.1× 343 1.6× 236 1.6× 206 1.5× 117 1.3× 25 705
Rishav Choudhary United States 15 326 1.2× 267 1.2× 89 0.6× 84 0.6× 117 1.3× 30 485
Jiabiao Zou China 15 490 1.8× 324 1.5× 225 1.5× 251 1.9× 96 1.0× 41 755

Countries citing papers authored by Ningxin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ningxin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningxin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ningxin Tan. A scholar is included among the top collaborators of Ningxin Tan 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 Ningxin Tan. Ningxin Tan 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.
Guo, Junjiang, et al.. (2023). Reactions of Ethynyloxy Radical with Hydroperoxyl Radical: Bridging Theoretical Reaction Dynamics and Chemical Modeling of Combustion. ChemPhysChem. 25(3). e202300515–e202300515. 1 indexed citations
2.
Tan, Ningxin, et al.. (2020). An experimental and modeling study of ethylene–air combustion over a wide temperature range. Combustion and Flame. 221. 20–40. 31 indexed citations
3.
Guo, Junjiang, Shiyun Tang, Rui Li, & Ningxin Tan. (2019). Mechanism Construction and Simulation for Combustion of Large Hydrocarbon Fuels Applied in Wide Temperature Range. Acta Physico-Chimica Sinica. 35(2). 182–192. 1 indexed citations
4.
Guo, Junjiang, et al.. (2019). Influence of Different Core Mechanisms on Low-Temperature Combustion Characteristics of Large Hydrocarbon Fuels. Energy & Fuels. 33(8). 7835–7851. 3 indexed citations
5.
Liu, Meiling, et al.. (2019). Reactions of β-hydroxypropyl radicals with O2 on the HOC3H6OO• potential energy surfaces: A theoretical study. Combustion and Flame. 211. 202–217. 12 indexed citations
6.
Li, Dongyan, et al.. (2017). Investigations of Chemical Kinetic Mechanisms for Low-to-medium Temperature Ignition of Ethylene. Acta Chimica Sinica. 75(4). 375–375. 3 indexed citations
7.
Guo, Junjiang, Shiyun Tang, & Ningxin Tan. (2017). Theoretical and kinetic study of the reaction of C2H3 + HO2 on the C2H3O2H potential energy surface. RSC Advances. 7(71). 44809–44819. 15 indexed citations
8.
Guo, Junjiang, et al.. (2015). Construction of Autoignition Mechanisms for the Combustion of RP-3 Surrogate Fuel and Kinetics Simulation. Acta Physico-Chimica Sinica. 31(4). 643–652. 69 indexed citations
9.
Guo, Junjiang, Jiaqi Xu, Zerong Li, Ningxin Tan, & Xiangyuan Li. (2015). Temperature and Pressure Dependent Rate Coefficients for the Reaction of C2H4 + HO2 on the C2H4O2H Potential Energy Surface. The Journal of Physical Chemistry A. 119(13). 3161–3170. 12 indexed citations
10.
Ning, Hongbo, et al.. (2015). Low- and intermediate-temperature oxidation of ethylcyclohexane: A theoretical study. Combustion and Flame. 162(11). 4167–4182. 42 indexed citations
11.
Guo, Junjiang, et al.. (2014). Systematic Approach to Automatic Construction of High-Temperature Combustion Mechanisms of Alkanes. Acta Physico-Chimica Sinica. 30(6). 1027–1041. 8 indexed citations
12.
Guo, Junjiang, et al.. (2014). Mechanism construction and simulation for high-temperature combustion of n-propylcyclohexane. Chemical Research in Chinese Universities. 30(3). 480–488. 19 indexed citations
13.
Li, Zerong, et al.. (2013). Interpretation and Application of Reaction Class Transition State Theory for Accurate Calculation of Thermokinetic Parameters Using Isodesmic Reaction Method. The Journal of Physical Chemistry A. 117(16). 3279–3291. 18 indexed citations
14.
Tan, Ningxin, et al.. (2012). Combustion Mechanism of n-Decane at High Temperatures and Kinetic Modeling of Ignition Delay for Aviation Kerosene. Gaodeng xuexiao huaxue xuebao. 33(2). 341. 6 indexed citations
15.
Tan, Ningxin, et al.. (2011). Combustion Mechanism and Kinetic Modeling Study of Methyl Cyclohexane at High Temperature. Gaodeng xuexiao huaxue xuebao. 32(8). 1832. 2 indexed citations
16.
Wang, Jingbo, et al.. (2011). Mechanism Construction and Simulation for the High-Temperature Combustion of <em>n</em>-Dodecane. Acta Physico-Chimica Sinica. 27(12). 2755–2761. 10 indexed citations
17.
Wang, Quan‐De, J. Wang, Juanqin Li, Ningxin Tan, & Xiangyuan Li. (2010). Reactive molecular dynamics simulation and chemical kinetic modeling of pyrolysis and combustion of n-dodecane. Combustion and Flame. 158(2). 217–226. 230 indexed citations
18.
Tan, Ningxin, et al.. (2009). Classification Models for HERG Potassium Channel Inhibitors Based on the Support Vector Machine Approach. Acta Physico-Chimica Sinica. 25(8). 1581–1586. 1 indexed citations
19.
Tan, Ningxin, Ping Li, Hanbing Rao, Zerong Li, & Xiangyuan Li. (2009). Prediction of the acute toxicity of chemical compounds to the fathead minnow by machine learning approaches. Chemometrics and Intelligent Laboratory Systems. 100(1). 66–73. 25 indexed citations
20.
Rao, Hanbing, et al.. (2009). Prediction of HIV‐1 Protease Inhibitors Using Machine Learning Approaches. QSAR & Combinatorial Science. 28(11-12). 1346–1357. 7 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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