| A phenomenological constitutive model for semicrystalline two-way shape memory polymers C Yan, Q Yang, G Li International Journal of Mechanical Sciences 177, 105552, 2020 | 62 | 2020 |
| Machine learning assisted discovery of new thermoset shape memory polymers based on a small training dataset C Yan, X Feng, C Wick, A Peters, G Li Polymer 214, 123351, 2021 | 54 | 2021 |
| The Rise of Machine Learning in Polymer Discovery C Yan, G Li Advanced Intelligent Systems 5 (4), 2200243, 2023 | 40 | 2023 |
| A fragments mass distribution scaling relations for fragmenting shells with variable thickness subjected to internal explosive loading Z Zhang, F Huang, Y Cao, C Yan International Journal of Impact Engineering 120, 79-94, 2018 | 37 | 2018 |
| From drug molecules to thermoset shape memory polymers: a machine learning approach C Yan, X Feng, G Li ACS applied materials & interfaces 13 (50), 60508–60521, 2021 | 29 | 2021 |
| A mechanism-based four-chain constitutive model for enthalpy-driven thermoset shape memory polymers with finite deformation C Yan, G Li Journal of Applied Mechanics 87 (6), 061007, 2020 | 22 | 2020 |
| A new action recognition framework for video highlights summarization in sporting events C Yan, X Li, G Li 2021 16th International conference on computer science & education (ICCSE …, 2021 | 21 | 2021 |
| An analytical approach to dynamic spalling of brittle materials C Yan, ZC Ou, ZP Duan, FL Huang International Journal of Impact Engineering 83, 28-36, 2015 | 17 | 2015 |
| Design oriented constitutive modeling of amorphous shape memory polymers and Its application to multiple length scale lattice structures C Yan, G Li Smart Materials and Structures 28 (9), 095030, 2019 | 15 | 2019 |
| Dynamic behaviors of load-carrying capacity of brittle materials ZC Ou, C Yan, ZP Duan, AG Pi, FL Huang International journal of impact engineering 42, 59-65, 2012 | 15 | 2012 |
| Tutorial: Thermomechanical constitutive modeling of shape memory polymers C Yan, G Li Journal of Applied Physics 131, 111101, 2022 | 10 | 2022 |
| Analytical model for dynamic yield strength of metal C Yan, R Liu, ZC Ou Physical Mesomechanics 22, 333-339, 2019 | 9 | 2019 |
| The Rise of Phosphate Ester Exchange in Developing Dynamic Covalent Networks: Advances and Challenges K Deng, X Feng, H Yang, C Yan European Polymer Journal 196, 112286, 2023 | 8 | 2023 |
| Insight in thermomechanical constitutive modeling of shape memory polymers A Shojaei, W Xu, C Yan, Q Yang, G Li Frontiers in Mechanical Engineering, 01-25, 2022 | 8 | 2022 |
| Advancing flame retardant prediction: A self-enforcing machine learning approach for small datasets C Yan, X Lin, X Feng, H Yanga, P Mensah, G Li Applied Physics Letter 122 (25), 251902, 2023 | 7 | 2023 |
| Strain-rate effects on dynamic strength of brittle materials C Yan, Z Ou, Z Duan, F Huang Explosion and Shock Waves 31 (4), 423-427, 2011 | 7 | 2011 |
| Facile Ball Milling Preparation of Flame-Retardant Polymer Materials: An Overview X Feng, X Lin, K Deng, H Yang, C Yan Molecules 28 (13), 5090, 2023 | 6 | 2023 |
| General Analytical Solutions for Dynamic Load-carrying Capacity of Brittle Materials Under an Arbitrary Incident Stress Wave C Yan*, R Liu, G Li, Z Ou International Journal of Applied Mechanics 13 (7), 2021 | 5 | 2021 |
| Machine Learning Framework for Polymer Discovery C Yan, G Li Encyclopedia of Materials: Plastics and Polymers 2, 267-279, 2022 | 4 | 2022 |
| A microscopical model for Incubation Time and Its associated Dynamic Load-Carrying Capacity X Yang, Z Ou, C Yan*, Z Duan, F Huang International Journal of Applied Mechanics 14 (7), 2022 | 3 | 2022 |
Guoqiang LiProfessor of Mechanical Engineering, Louisiana State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa lsu.edu
