| Hierarchical kriging model for variable-fidelity surrogate modeling ZH Han, S Görtz AIAA journal 50 (9), 1885-1896, 2012 | 440 | 2012 |
| Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function ZH Han, S Görtz, R Zimmermann Aerospace Science and technology 25 (1), 177-189, 2013 | 375 | 2013 |
| Kriging surrogate model and its application to design optimization: A review of recent progress ZH Han Acta Aeronautica et Astronautica Sinica 37 (11), 3197-3225, 2016 | 236 | 2016 |
| Surrogate-based optimization ZH Han, KS Zhang Real-world applications of genetic algorithms 343, 343-362, 2012 | 213 | 2012 |
| Alternative Cokriging Method for Variable-Fidelity Surrogate Modeling ZH Han, R Zimmerman, S Görtz AIAA journal 50 (5), 1205-1210, 2012 | 191 | 2012 |
| A new cokriging method for variable-fidelity surrogate modeling of aerodynamic data ZH Han, R Zimmermann, S Goretz 48th AIAA Aerospace sciences meeting including the new horizons forum and …, 2010 | 156 | 2010 |
| Weighted gradient-enhanced kriging for high-dimensional surrogate modeling and design optimization ZH Han, Y Zhang, CX Song, KS Zhang Aiaa Journal 55 (12), 4330-4346, 2017 | 154 | 2017 |
| Kriging 模型及代理优化算法研究进展 韩忠华 航空学报, 3197-3225, 2016 | 146 | 2016 |
| Efficient aerodynamic shape optimization using variable-fidelity surrogate models and multilevel computational grids HAN Zhonghua, XU Chenzhou, L Zhang, Y Zhang, K Zhang, S Wenping Chinese Journal of Aeronautics 33 (1), 31-47, 2020 | 145 | 2020 |
| Efficient aerodynamic shape optimization of transonic wings using a parallel infilling strategy and surrogate models J Liu, WP Song, ZH Han, Y Zhang Structural and Multidisciplinary Optimization 55, 925-943, 2017 | 144 | 2017 |
| Variable-fidelity expected improvement method for efficient global optimization of expensive functions Y Zhang, ZH Han, KS Zhang Structural and Multidisciplinary Optimization 58, 1431-1451, 2018 | 119 | 2018 |
| COMPARISON OF INFILL SAMPLING CRITERIA IN KRIGING-BASED AERODYNAMIC OPTIMIZATION J LIU, ZH HAN, WP SONG | 116* | |
| Efficient uncertainty quantification using gradient-enhanced kriging R Dwight, ZH Han 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2009 | 114 | 2009 |
| Aerodynamic shape optimization of natural-laminar-flow wing using surrogate-based approach ZH Han, J Chen, KS Zhang, ZM Xu, Z Zhu, WP Song AIAA Journal 56 (7), 2579-2593, 2018 | 108 | 2018 |
| Constraint aggregation for large number of constraints in wing surrogate-based optimization KS Zhang, ZH Han, ZJ Gao, Y Wang Structural and Multidisciplinary Optimization 59 (2), 421-438, 2019 | 65 | 2019 |
| Surrogate-based aerodynamic shape optimization of hypersonic flows considering transonic performance F Liu, ZH Han, Y Zhang, K Song, WP Song, F Gui, JB Tang Aerospace Science and Technology 93, 105345, 2019 | 62 | 2019 |
| A variable-fidelity modeling method for aero-loads prediction ZH Han, S Görtz, R Hain New Results in Numerical and Experimental Fluid Mechanics VII: Contributions …, 2010 | 60 | 2010 |
| Aerodynamic/aeroacoustic variable-fidelity optimization of helicopter rotor based on hierarchical Kriging model BU Yuepeng, S Wenping, HAN Zhonghua, Y Zhang, L Zhang Chinese Journal of Aeronautics 33 (2), 476-492, 2020 | 57 | 2020 |
| SurroOpt: a generic surrogate-based optimization code for aerodynamic and multidisciplinary design ZH Han Proceedings of ICAS 2016, 2016-0281, 2016 | 50 | 2016 |
| On improving efficiency and accuracy of variable-fidelity surrogate modeling in aero-data for loads context Z Han, R Zimmermann, S Goertz European Air and Space Conference, 2009 | 50 | 2009 |
Ralf ZimmermannAssociate Professor, Department of Mathematics and Computer Science, University of Southern DenmarkVerified email at imada.sdu.dk
