| Modeling and prediction for the trend of outbreak of NCP based on a time-delay dynamic system Y Yan, Y Chen, K Liu, X Luo, B Xu, Y Jiang, J Cheng Sci Sin Math 50, 1-8, 2020 | 94 | 2020 |
| COVID-19 in Singapore: another story of success Y Yan, H Pan, N Shao, Y Xuan, S Wang, W Li, X Li, CY Shen, X Chen, ... International Journal of Mathematics for Industry 12 (01), 2050001, 2020 | 12 | 2020 |
| Modeling the trend of outbreak of COVID-19 in the Diamond Princess cruise ship based on a time-delay dynamic system X Luo, N Shao, J Cheng, W Chen Mathematical Modeling and Its Applications 9 (1), 15-22, 2020 | 12 | 2020 |
| Multi‐chain Fudan‐CCDC model for COVID‐19‐‐a revisit to Singapore’s case H Pan, N Shao, Y Yan, X Luo, S Wang, L Ye, J Cheng, W Chen Quantitative Biology 8 (4), 325-335, 2020 | 7 | 2020 |
| COVID-19 in Japan: What could happen in the future? N Shao, H Pan, X Li, W Li, S Wang, Y Xuan, Y Yan, K Liu, Y Chen, B Xu, ... MedRxiv, 2020.02. 21.20026070, 2020 | 6 | 2020 |
| A mechanism-based method for image inpainting X Luo, Y Chen, J Cheng, Z Sun Applied Mathematics Letters 154, 109113, 2024 | 2 | 2024 |
| Precision-preserving compression of scientific data: Learn mechanism from data X Luo, J Cheng, Z Sun, Y Chen 2024 Data Compression Conference (DCC), 572-572, 2024 | 1 | 2024 |
| Multi-chain Fudan-CCDC model for COVID-19 in Iran H Pan, N Shao, Y Yan, X Luo, A Ahmadi, Y Fadaei, J Cheng, W Chen medRxiv, 2020.04. 22.20075630, 2020 | 1 | 2020 |
| MeLLoC: Lossless Compression with High-order Mechanism Learning X Luo, J Cheng, Y Chen Advances in Neural Information Processing Systems 37, 121500-121513, 2024 | | 2024 |
| 偏微分方程式における逆問題とその応用のさらなる展開 N Shao, Y Xuan, H Pan, S Wang, W Li, Y Yan, X Li, CY Shen, X Chen, ... 数理解析研究所講究録, 87-105, 2021 | | 2021 |
| 基于新增确诊数据和光滑算子对 FUDAN-CCDC 模型反演算法的改进 邵年， 严阅， 罗心悦， 薛弋韬， 程晋， 陈文斌 数学建模及其应用 9 (2), 13-19, 2020 | | 2020 |
