| A physics-based approach to modeling real-fuel combustion chemistry-I. Evidence from experiments, and thermodynamic, chemical kinetic and statistical considerations H Wang, R Xu, K Wang, CT Bowman, RK Hanson, DF Davidson, ... Combustion and Flame 193, 502-519, 2018 | 453 | 2018 |
| A physics-based approach to modeling real-fuel combustion chemistry–II. Reaction kinetic models of jet and rocket fuels R Xu, K Wang, S Banerjee, J Shao, T Parise, Y Zhu, S Wang, A Movaghar, ... Combustion and Flame 193, 520-537, 2018 | 389 | 2018 |
| Fuel effects on lean blow-out in a realistic gas turbine combustor L Esclapez, PC Ma, E Mayhew, R Xu, S Stouffer, T Lee, H Wang, M Ihme Combustion and Flame 181, 82-99, 2017 | 204 | 2017 |
| A physics-based approach to modeling real-fuel combustion chemistry–IV. HyChem modeling of combustion kinetics of a bio-derived jet fuel and its blends with a conventional Jet A K Wang, R Xu, T Parise, J Shao, A Movaghar, DJ Lee, JW Park, Y Gao, ... Combustion and Flame 198, 477-489, 2018 | 152 | 2018 |
| A Physics-based approach to modeling real-fuel combustion chemistry–III. Reaction kinetic model of JP10 Y Tao, R Xu, K Wang, J Shao, SE Johnson, A Movaghar, X Han, JW Park, ... Combustion and Flame 198, 466-476, 2018 | 101 | 2018 |
| A physics-based approach to modeling real-fuel combustion chemistry–V. NOx formation from a typical Jet A C Saggese, K Wan, R Xu, Y Tao, CT Bowman, JW Park, T Lu, H Wang Combustion and Flame 212, 270-278, 2020 | 45 | 2020 |
| A physics-based approach to modeling real-fuel combustion chemistry–VI. Predictive kinetic models of gasoline fuels R Xu, C Saggese, R Lawson, A Movaghar, T Parise, J Shao, ... Combustion and flame 220, 475-487, 2020 | 43 | 2020 |
| A mixed double-sided incremental forming toolpath strategy for improved geometric accuracy Z Zhang, H Ren, R Xu, N Moser, J Smith, E Ndip-Agbor, R Malhotra, ... Journal of Manufacturing Science and Engineering 137 (5), 051007, 2015 | 40 | 2015 |
| A high pressure shock tube study of pyrolysis of real jet fuel Jet A X Han, M Liszka, R Xu, K Brezinsky, H Wang Proceedings of the combustion institute 37 (1), 189-196, 2019 | 36 | 2019 |
| Binary diffusion coefficients and non-premixed flames extinction of long-chain alkanes C Liu, R Zhao, R Xu, FN Egolfopoulos, H Wang Proceedings of the combustion institute 36 (1), 1523-1530, 2017 | 30 | 2017 |
| HyChem model: application to petroleum-derived jet fuels R Xu, D Chen, K Wang, Y Tao, JK Shao, T Parise, Y Zhu, S Wang, R Zhao, ... 10th US National Combustion Meeting, 2017 | 29 | 2017 |
| First principles reaction discovery: from the Schrodinger equation to experimental prediction for methane pyrolysis R Xu, J Meisner, AM Chang, KC Thompson, TJ Martínez Chemical science 14 (27), 7447-7464, 2023 | 28 | 2023 |
| Principle of large component number in multicomponent fuel combustion–a Monte Carlo study R Xu, H Wang Proceedings of the combustion institute 37 (1), 613-620, 2019 | 28 | 2019 |
| Evidence supporting a simplified approach to modeling high-temperature combustion chemistry R Xu, H Wang, DF Davidson, RK Hanson, CT Bowman, FN Egolfopoulos 10th US National Meeting on Combustion, College Park, MD, 2017 | 25 | 2017 |
| A comparative study of combustion chemistry of conventional and alternative jet fuels with hybrid chemistry approach R Xu, D Chen, K Wang, H Wang 55th AIAA Aerospace Sciences Meeting, 0607, 2017 | 24 | 2017 |
| Thermochemical properties of jet fuels R Xu, H Wang, M Colket, T Edwards National Jet Fuels Combustion Program, 2015 | 23 | 2015 |
| A preliminary study on the fatigue behavior of sheet metal parts formed with accumulative-double-sided incremental forming R Xu, X Shi, D Xu, R Malhotra, J Cao Manufacturing Letters 2 (1), 8-11, 2014 | 20 | 2014 |
| Neural network approach to response surface development for reaction model optimization and uncertainty minimization Y Zhang, W Dong, LA Vandewalle, R Xu, GP Smith, H Wang Combustion and Flame 251, 112679, 2023 | 19 | 2023 |
| A physics-based approach to modeling real-fuel combustion chemistry–VII. Relationship between speciation measurement and reaction model accuracy R Xu, H Wang Combustion and Flame 224, 126-135, 2021 | 19 | 2021 |
| Foundational Fuel Chemistry Model Version 2.0 (FFCM-2) Y Zhang, W Dong, L Vandewalle, R Xu, G Smith, H Wang https://web.stanford.edu/group/haiwanglab/FFCM2/, 2023 | 18* | 2023 |
Hai WangStanford UniversityZweryfikowany adres z stanford.edu