| A machine learning strategy for fast prediction of cardiac function based on peripheral pulse wave S Wang, D Wu, G Li, X Song, A Qiao, R Li, Y Liu, H Anzai, H Liu Computer Methods and Programs in Biomedicine 216, 106664, 2022 | 21 | 2022 |
| Deep learning-based hemodynamic prediction of carotid artery stenosis before and after surgical treatments S Wang, D Wu, G Li, Z Zhang, W Xiao, R Li, A Qiao, L Jin, H Liu Frontiers in Physiology 13, 1094743, 2023 | 19 | 2023 |
| Impacts of respiratory fluctuations on cerebral circulation: a machine-learning-integrated 0–1D multiscale hemodynamic model R Li, K Sughimoto, X Zhang, S Wang, H Liu Physiological Measurement 44 (3), 035013, 2023 | 7 | 2023 |
| Research on mechanism of low speed pre-ignition and knock process in boosted direct injection spark ignition gasoline engines R Li, B Xu, Y Qi Journal of Physics: Conference Series 1176 (5), 052069, 2019 | 5 | 2019 |
| Numerical analysis of low speed pre-ignition and knock process in downsized turbocharged direct injection engines with ethanol-gasoline blends L Ruichen, X Boyan, Q Yunliang, X Weiyang International Journal of Automotive Technology 21, 13-22, 2020 | 4 | 2020 |
| Impact of Respiratory Fluctuation on Hemodynamics in Human Cardiovascular System: A 0-1D Multiscale Model R Li, K Sughimoto, X Zhang, S Wang, Y Hiraki, H Liu Fluids 7 (1), 28, 2022 | 3 | 2022 |
| 增压直喷乙醇-汽油发动机超级爆震模拟 许伯彦， 李瑞晨， 齐运亮， 亓爱林 内燃机学报 38 (4), 312-319, 2020 | 1 | 2020 |
| 乙醇—汽油混合燃料增压直喷发动机早燃现象及爆震过程机理的研究 李瑞晨 济南: 山东建筑大学, 2019 | 1 | 2019 |
| Impact of collateral vessels on Fontan circulation by using 0-1 dimensional Fontan circulation model considering concepts of oxygen supply and consumption K Sughimoto, T Miki, R Li, TF Fujiwara, H Liu European Heart Journal 44 (Supplement_2), ehad655. 3208, 2023 | | 2023 |
| 心機能への呼吸性変動の影響: 機械学習と 0-1 次元血行力学モデルによる統合的研究 李瑞晨， 杉本晃一， 劉浩 年次大会 2021, J021-17, 2021 | | 2021 |
| 新型湿硬性混凝土砌块生产技术研究 李瑞晨， 陈楠， 闫法义 山东水利, 36-37, 2016 | | 2016 |
| Deep Learning-Based Hemodynamic Prediction of Carotid Artery Stenosis Before and after Stent Intervention S Wang, D Wu, G Li, Z Zhang, W Xiao, R Li, A Qiao, L Lin, H Liu Available at SSRN 4214496, 0 | | |
