| Epidemic analysis of COVID-19 in China by dynamical modeling L Peng, W Yang, D Zhang, C Zhuge, L Hong arXiv preprint arXiv:2002.06563, 2020 | 699 | 2020 |
| Rational evaluation of various epidemic models based on the COVID-19 data of China W Yang, D Zhang, L Peng, C Zhuge, L Hong Epidemics 37, 100501, 2021 | 92 | 2021 |
| Epidemic analysis of COVID-19 in China by dynamical modeling. arXiv 2020 L Peng, W Yang, D Zhang, C Zhuge, L Hong arXiv preprint arXiv:2002.06563, 2002 | 68 | 2002 |
| Epidemic analysis of COVID-19 in China by dynamical modeling. arXiv L Peng, W Yang, D Zhang, C Zhuge, L Hong arXiv preprint arXiv:2002.06563, 2020 | 28 | 2020 |
| Revealing hidden dynamics from time-series data by ODENet P Hu, W Yang, Y Zhu, L Hong Journal of Computational Physics 461, 111203, 2022 | 27 | 2022 |
| Differential Modulation of the Aggregation of N‐Terminal Truncated Aβ using Cucurbiturils G Li, WY Yang, YF Zhao, YX Chen, L Hong, YM Li Chemistry–A European Journal 24 (51), 13647-13653, 2018 | 21 | 2018 |
| When machine learning meets multiscale modeling in chemical reactions W Yang, L Peng, Y Zhu, L Hong The Journal of Chemical Physics 153 (9), 2020 | 14 | 2020 |
| Inhibitory Effects of Sulfated Polysaccharides from the Sea Cucumber Cucumaria Frondosa against Aβ40 Aggregation and Cytotoxicity G Li, Y Zhou, WY Yang, C Zhang, L Hong, L Jia ACS Chemical Neuroscience 12 (11), 1854-1859, 2021 | 11 | 2021 |
| Rational design of a cocktail of inhibitors against Aβ aggregation G Li, WY Yang, WH Li, YY Luo, YJ Lim, Y Li, A Paul, D Segal, L Hong, ... Chemistry–A European Journal 26 (16), 3499-3503, 2020 | 11 | 2020 |
| Prediction of amyloid aggregation rates by machine learning and feature selection W Yang, P Tan, X Fu, L Hong The Journal of Chemical Physics 151 (8), 2019 | 10 | 2019 |
| Epidemic analysis of COVID-19 in China by dynamical modeling (preprint) L Peng, W Yang, D Zhang, C Zhuge, L Hong | 4 | 2020 |
| Entropy structure informed learning for solving inverse problems of differential equations Y Jiang, W Yang, Y Zhu, L Hong Chaos, Solitons & Fractals 175, 114057, 2023 | 1 | 2023 |
| Entropy Structure Informed Learning for Inverse XDE Problems Y Jiang, W Yang, Y Zhu, L Hong arXiv preprint arXiv:2306.08241, 2023 | | 2023 |
| To what extent can control policies influence the epidemic spreading?--A data-driven analysis based on the first wave of COVID-19 D Zhang, W Wen, W Yang, L Peng, C Zhuge, L Hong arXiv preprint arXiv:2305.19544, 2023 | | 2023 |
| A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics (preprint) D Zhang, W Yang, W Wen, L Peng, C Zhuge, L Hong | | 2023 |
| To what extent can control policies influence the epidemic spreading?--A data-driven analysis based on the first wave of COVID-19 (preprint) D Zhang, W Wen, W Yang, L Peng, C Zhuge, L Hong | | 2023 |
| Identification of hydrodynamic instability by convolutional neural networks W Yang, L Peng, Y Zhu, L Hong arXiv preprint arXiv:2006.01446, 2020 | | 2020 |
| Rational evaluation of various epidemic models based on the COVID-19 data of China (preprint) W Yang, D Zhang, L Peng, C Zhuge, L Hong | | 2020 |
