| High-efficiency and high-accuracy digital image correlation for three-dimensional measurement Y Gao, T Cheng, Y Su, X Xu, Y Zhang, Q Zhang Optics and Lasers in Engineering 65, 73-80, 2015 | 288 | 2015 |
| Quality assessment of speckle patterns for DIC by consideration of both systematic errors and random errors Y Su, Q Zhang, X Xu, Z Gao Optics and Lasers in Engineering 86, 132-142, 2016 | 151 | 2016 |
| Fourier-based interpolation bias prediction in digital image correlation Y Su, Q Zhang, Z Gao, X Xu, X Wu Optics express 23 (15), 19242-19260, 2015 | 104 | 2015 |
| Effects of various shape functions and subset size in local deformation measurements using DIC X Xu, Y Su, Y Cai, T Cheng, Q Zhang Experimental Mechanics 55, 1575-1590, 2015 | 94 | 2015 |
| Experimental analysis of image noise and interpolation bias in digital image correlation Z Gao, X Xu, Y Su, Q Zhang Optics and Lasers in Engineering 81, 46-53, 2016 | 88 | 2016 |
| Theoretical estimation of systematic errors in local deformation measurements using digital image correlation X Xu, Y Su, Q Zhang Optics and Lasers in Engineering 88, 265-279, 2017 | 84 | 2017 |
| Glare: A free and open-source software for generation and assessment of digital speckle pattern Y Su, Q Zhang Optics and Lasers in Engineering 148, 106766, 2022 | 80 | 2022 |
| Strain field measurements over 3000 C using 3D-Digital image correlation Z Pan, S Huang, Y Su, M Qiao, Q Zhang Optics and Lasers in Engineering 127, 105942, 2020 | 79 | 2020 |
| Theoretical analysis on performance of digital speckle pattern: uniqueness, accuracy, precision, and spatial resolution Y Su, Z Gao, Z Fang, Y Liu, Y Wang, Q Zhang, S Wu Optics Express 27 (16), 22439-22474, 2019 | 59 | 2019 |
| Interpolation bias for the inverse compositional Gauss–Newton algorithm in digital image correlation Y Su, Q Zhang, X Xu, Z Gao, S Wu Optics and Lasers in Engineering 100, 267-278, 2018 | 56 | 2018 |
| Statistical model for speckle pattern optimization Y Su, Q Zhang, Z Gao Optics express 25 (24), 30259-30275, 2017 | 50 | 2017 |
| Full-field wrist pulse signal acquisition and analysis by 3D Digital Image Correlation Y Xue, Y Su, C Zhang, X Xu, Z Gao, S Wu, Q Zhang, X Wu Optics and Lasers in Engineering 98, 76-82, 2017 | 50 | 2017 |
| Elimination of systematic error in digital image correlation caused by intensity interpolation by introducing position randomness to subset points Y Su, Q Zhang, Z Fang, Y Wang, Y Liu, S Wu Optics and Lasers in Engineering 114, 60-75, 2019 | 43 | 2019 |
| Noise-induced bias for convolution-based interpolation in digital image correlation Y Su, Q Zhang, Z Gao, X Xu Optics Express 24 (2), 1175-1195, 2016 | 41 | 2016 |
| Pixelated-polarization-camera-based polarimetry system for wide real-time optical rotation measurement X Ma, F Dong, Z Zhang, Y Su, T Xu, Z Jiang, S Wu, Q Zhang, W Chu, X Wu Sensors and Actuators B: Chemical 283, 857-864, 2019 | 39 | 2019 |
| Investigation of Portevin-Le Chatelier effect in 5456 Al-based alloy using digital image correlation T Cheng, X Xu, Y Cai, S Fu, Y Gao, Y Su, Y Zhang, Q Zhang Optics and Lasers in Engineering 65, 89-92, 2015 | 38 | 2015 |
| Accuracy evaluation of optical distortion calibration by digital image correlation Z Gao, Q Zhang, Y Su, S Wu Optics and Lasers in Engineering 98, 143-152, 2017 | 37 | 2017 |
| Stereo camera calibration for large field of view digital image correlation using zoom lens Z Gao, Y Gao, Y Su, Y Liu, Z Fang, Y Wang, Q Zhang Measurement 185, 109999, 2021 | 33 | 2021 |
| Tunnel contour detection during construction based on digital image correlation Z Gao, F Li, Y Liu, T Cheng, Y Su, Z Fang, M Yang, Y Li, J Yu, Q Zhang Optics and lasers in engineering 126, 105879, 2020 | 33 | 2020 |
| Spatial uncertainty of measurement errors in digital image correlation Y Su, Z Gao, Q Zhang, S Wu Optics and Lasers in Engineering 110, 113-121, 2018 | 28 | 2018 |
Zhang QingChuanProfessor，University of Science and Technology of China, Department of Modern MechanicsVahvistettu sähköpostiosoite verkkotunnuksessa ustc.edu.cn