[1] Ma, Yu1;Sang, Jianbing1;Li, Yang1;Wang, Fang1;Shao, Kexin1;Tian, Weichang1;. A Novel Approach for Identifying Hyper-Elastic Material Parameters of Cartilage based on FEM and Neural Networks. INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2022, , .

[2] 梁炜光，桑建兵，田红艳，段文杰，陶雅萍，李烽韬. 基于数据驱动管道流体湍流模型的系数修正及流动特性分析. 计算物理, 2022, , .

[3] 魏新宇，桑建兵，张睿琳，王静远，刘宝友. 基于机器学习软骨细胞的时间依赖性力学行为研究及本构参数反演. 力学学报, 2022, , .

[4] 刘帅龙，桑建兵，赵路明，付博伟，马钰. 小生境遗传算法的改进及其在橡胶材料参数反演中的应用. 河北工业大学学报, 2022, 第51卷 第1期, P21-26，41.

[5] Li, Yang;Sang, Jianbing;Wei, Xinyu;Yu, Wenying;Tian, Weichang;Liu, G. R.. Inverse identification of hyperelastic constitutive parameters of skeletal muscles via optimization of AI techniques. Computer Methods in Biomechanics and Biomedical Engineering, 2021, 24 15, 1647-1659.

[6] Sang,JB(Sang,Jianbing)¹;Pan,XD(Pan,Xingda)¹;Lin,T(Lin,Tao)²;Liang,WG(Liang,Weiguang)¹;Liu,GR(Liu,G.R.)². A data-driven artificial neural network model for predicting wind load of buildings using GSM-CFD solver. EUROPEAN JOURNAL OF MECHANICS B-FLUIDS, 2021, 87 , 24-36.

[7] Li, Yang¹; Sang, Jianbing¹; Ao, Rihan¹; Ma, Yu¹; Wei, Xinyu¹ . Research on inversion method of hyperelastic constitutive parameters of skeletal muscles based on simulation and intelligent algorithm. Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics, 2021, 53 5, 1449-1456.

[8] Liu, Shuailong¹; Sang, Jianbing¹; Zhang, Yi¹; Zhao, Luming¹; Liu, Guirong^{1, 2} . An inverse procedure for characterization of material parameters of passive skeletal muscle using fem and experimental data. Journal of Theoretical and Applied Mechanics (Poland), 2021, 58 1, 247-259.

[9] 李洋;桑建兵;敖日汗;马钰;魏新宇. 基于仿真和智能算法骨骼肌超弹性本构参数的反演方法研究. 力学学报, 2021, 53 5, 1449-1456.

[10] Li, Yang;Sang, Jianbing;Wei, Xinyu;Yu, Wenying;Tian, Weichang;Liu, G. R.. Inverse identification of hyperelastic constitutive parameters of skeletal muscles via optimization of AI techniques. Computer Methods in Biomechanics and Biomedical Engineering, 2021, Vol.24 No.15, 1647-1659.