| 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 | 732 | 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 |
| When Machine Learning Meets Multiscale Modeling in Chemical Reactions W Yang, L Peng, Y Zhu, L Hong Journal of Chemical Physics, 2020 | 14 | 2020 |
| Thermodynamics of Markov processes with nonextensive entropy and free energy L Peng, H Qian, L Hong Physical Review E 101 (2), 022114, 2020 | 10* | 2020 |
| Generalized Onsager's reciprocal relations for the master and Fokker-Planck equations L Peng, Y Zhu, L Hong Physical Review E 97 (6), 062123, 2018 | 9 | 2018 |
| Conservation-Dissipation Formalism for soft matter physics: I. Augmentation to Doi's variational approach L Peng, Y Hu, L Hong The European Physical Journal E 42 (73), https://doi.org/10.1140/epje/i2019 …, 2019 | 5 | 2019 |
| Conservation-Dissipation Formalism for Soft Matter Physics: II. Application to Non-isothermal Nematic Liquid Crystals L Peng, Y Hu, L Hong The European Physical Journal E 42 (74), https://doi.org/10.1140/epje/i2019 …, 2019 | 3 | 2019 |
| The Markov process admits a consistent steady-state thermodynamic formalism L Peng, Y Zhu, L Hong Journal of Mathematical Physics 59 (1), 2018 | 3 | 2018 |
| Thermodynamics for Reduced Models of Chemical Reactions by PEA and QSSA L Peng, L Hong Physical Review Research 6 (1), 013296, 2024 | 1 | 2024 |
| Recent advances in conservation–dissipation formalism for irreversible processes L Peng, L Hong Entropy 23 (11), 1447, 2021 | 1 | 2021 |
| Towards Optimal Control of Amyloid Fibrillation M Wang, G Li, L Peng, L Hong Bulletin of Mathematical Biology 85 (10), 99, 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 |
| Identification of hydrodynamic instability by convolutional neural networks W Yang, L Peng, Y Zhu, L Hong arXiv:2006.01446, 2020 | | 2020 |
Liu HongSchool of Mathematics, Sun Yat-Sen UniversityVerified email at sysu.edu.cn
