| Microstructural evolution and constitutive models to predict hot deformation behaviors of a nickel-based superalloy YC Lin, FQ Nong, XM Chen, DD Chen, MS Chen Vacuum 137, 104-114, 2017 | 156 | 2017 |
| Microstructural evolution and support vector regression model for an aged Ni-based superalloy during two-stage hot forming with stepped strain rates DG He, YC Lin, J Chen, DD Chen, J Huang, Y Tang, MS Chen Materials & Design 154, 51-62, 2018 | 120 | 2018 |
| Phase transformation and constitutive models of a hot compressed TC18 titanium alloy in the α+ β regime YC Lin, J Huang, HB Li, DD Chen Vacuum 157, 83-91, 2018 | 101 | 2018 |
| A precise BP neural network-based online model predictive control strategy for die forging hydraulic press machine YC Lin, DD Chen, MS Chen, XM Chen, J Li Neural Computing and Applications 29, 585-596, 2018 | 87 | 2018 |
| Dislocation substructures evolution and an adaptive-network-based fuzzy inference system model for constitutive behavior of a Ni-based superalloy during hot deformation DD Chen, YC Lin, Y Zhou, MS Chen, DX Wen Journal of Alloys and Compounds 708, 938-946, 2017 | 87 | 2017 |
| A unified constitutive model based on dislocation density for an Al-Zn-Mg-Cu alloy at time-variant hot deformation conditions YC Lin, WY Dong, M Zhou, DX Wen, DD Chen Materials Science and Engineering: A 718, 165-172, 2018 | 82 | 2018 |
| Effects of random values for particle swarm optimization algorithm HP Dai, DD Chen, ZS Zheng Algorithms 11 (2), 23, 2018 | 80 | 2018 |
| A novel constitutive model for hot deformation behaviors of Ti–6Al–4V alloy based on probabilistic method YC Lin, CY Zhao, MS Chen, DD Chen Applied Physics A 122, 1-9, 2016 | 57 | 2016 |
| Microstructural evolution of a Ni-Fe-Cr-base superalloy during non-isothermal two-stage hot deformation YC Lin, F Wu, QW Wang, DD Chen, SK Singh Vacuum 151, 283-293, 2018 | 50 | 2018 |
| Recent progress in 3D printing of bioinspired structures D Wang, D Chen, Z Chen Frontiers in Materials 7, 286, 2020 | 48 | 2020 |
| Recent progress and development of interface integrated circuits for piezoelectric energy harvesting D Li, C Wang, X Cui, D Chen, C Fei, Y Yang Nano Energy 94, 106938, 2022 | 43 | 2022 |
| New flexible multiple-precision multiply-accumulate unit for deep neural network training and inference H Zhang, D Chen, SB Ko IEEE Transactions on Computers 69 (1), 26-38, 2019 | 42 | 2019 |
| A design framework for optimizing forming processing parameters based on matrix cellular automaton and neural network-based model predictive control methods DD Chen, YC Lin, F Wu Applied Mathematical Modelling 76, 918-937, 2019 | 39 | 2019 |
| A strategy to control microstructures of a Ni-based superalloy during hot forging based on particle swarm optimization algorithm DD Chen, YC Lin, XM Chen Advances in Manufacturing 7, 238-247, 2019 | 35 | 2019 |
| Precipitation behavior of a β-quenched Ti-5Al-5Mo-5V-1Cr-1Fe alloy during high-temperature compression QW Wang, YC Lin, YQ Jiang, XG Liu, XY Zhang, DD Chen, C Chen, ... Materials Characterization 151, 358-367, 2019 | 35 | 2019 |
| An optimization design strategy of 1–3 piezocomposite ultrasonic transducer for imaging applications D Chen, C Hou, C Fei, D Li, P Lin, J Chen, Y Yang Materials Today Communications 24, 100991, 2020 | 33 | 2020 |
| Particle swarm optimization algorithm-based design method for ultrasonic transducers D Chen, J Zhao, C Fei, D Li, Y Zhu, Z Li, R Guo, L Lou, W Feng, Y Yang Micromachines 11 (8), 715, 2020 | 32 | 2020 |
| A particle swarm optimization-based multi-level processing parameters optimization method for controlling microstructures of an aged superalloy during isothermal forging DD Chen, YC Lin Metals and Materials International 25 (5), 1246-1257, 2019 | 30 | 2019 |
| Influences of initial microstructures on Portevin‐Le Chatelier effect and mechanical properties of a Ni–Fe–Cr–base superalloy YC Lin, H Yang, XM Chen, DD Chen Advanced Engineering Materials 20 (8), 1800234, 2018 | 29 | 2018 |
| Architecture of computing system based on chiplet G Shan, Y Zheng, C Xing, D Chen, G Li, Y Yang Micromachines 13 (2), 205, 2022 | 28 | 2022 |
