Qinghua Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Qinghua Wang has a total of 263 co-authors. Here are the top co-authors by number of shared publications:
- Shien Ri
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
39 shared publications - Hiroshi Tsuda
National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
22 shared publications Huimin Xie
12 shared publications- Peng Xia
National Institute of Advanced Industrial Science and Technology
12 shared publications Satoshi Kishimoto
12 shared publicationsXiaojun Yan
Beijing Key Laboratory of Aero-Engine Structure and Strength
11 shared publications
Latest Publications
- 7 September 2026
- Published by Springer Nature in Journal of Materials Science
- Vol. 61 (41) , 31707-31770
Review:cross-scale in-situ characterization techniques for dynamic evolution of microstructures in materials under multi-field coupling
- 7 September 2026
- Published by Springer Nature in Journal of Materials Science
- Vol. 61 (41) , 31707-31770
Review:cross-scale in-situ characterization techniques for dynamic evolution of microstructures in materials under multi-field coupling
- 31 July 2026
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 37 (30) , 305204
Optimized phase compensation in wavelet transform for deformed fringe patterns and its application to CFRP structures
This paper derives an optimized phase compensation method for wavelet transform (WT) based on the principles of Windowed Fourier Transform and WT. Starting from the mechanisms of WT and phase compensation, the intermediate parameters of the cost function approach are transferred to the phase correction stage. This process enables a more accurate estimation of the wavelet ridges, thereby providing a more reliable wavelet window function and enhancing the final phase resolution accuracy. Using varying amounts of deformation as test sets, the proposed method is validated on deformed fringe patterns and compared with theoretical phase fields. The results show that the proposed method, namely wavelet transform with cost-function-aided phase correction and parameter transfer (WT-CPCT), reduces the average root mean square error (RMSE) of the phase difference by 34.0% compared with the traditional WT method and by 1.4% compared with proposed wavelet transform with cost-function-aided phase correction but without parameter transfer (WT-CPC). Under different noise levels, WT-CPCT also maintains stable RMSE values and outperforms the comparison methods. Furthermore, phase extraction and comparative analyses are conducted on the woven structure of carbon fiber reinforced polymer blades using sampling moiré, windowed Fourier ridge, and the proposed WT-CPCT method. The results show that the proposed method provides stable wrapped phase distributions and good phase continuity near blade edges. These results demonstrate that the proposed method is effective for deformed fringe images and further improves the performance of WT-based phase analysis.
- 31 July 2026
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 37 (30) , 305204
Optimized phase compensation in wavelet transform for deformed fringe patterns and its application to CFRP structures
This paper derives an optimized phase compensation method for wavelet transform (WT) based on the principles of Windowed Fourier Transform and WT. Starting from the mechanisms of WT and phase compensation, the intermediate parameters of the cost function approach are transferred to the phase correction stage. This process enables a more accurate estimation of the wavelet ridges, thereby providing a more reliable wavelet window function and enhancing the final phase resolution accuracy. Using varying amounts of deformation as test sets, the proposed method is validated on deformed fringe patterns and compared with theoretical phase fields. The results show that the proposed method, namely wavelet transform with cost-function-aided phase correction and parameter transfer (WT-CPCT), reduces the average root mean square error (RMSE) of the phase difference by 34.0% compared with the traditional WT method and by 1.4% compared with proposed wavelet transform with cost-function-aided phase correction but without parameter transfer (WT-CPC). Under different noise levels, WT-CPCT also maintains stable RMSE values and outperforms the comparison methods. Furthermore, phase extraction and comparative analyses are conducted on the woven structure of carbon fiber reinforced polymer blades using sampling moiré, windowed Fourier ridge, and the proposed WT-CPCT method. The results show that the proposed method provides stable wrapped phase distributions and good phase continuity near blade edges. These results demonstrate that the proposed method is effective for deformed fringe images and further improves the performance of WT-based phase analysis.
- 25 July 2026
- Published by Elsevier in Optics & Laser Technology
- Vol. 204
A 3D deformation measurement method to resist the effects of defects based on grating phase analysis
- 25 July 2026
- Published by Elsevier in Optics & Laser Technology
- Vol. 204
A 3D deformation measurement method to resist the effects of defects based on grating phase analysis
- 16 May 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 255
A Grating-Angle-Positioning method for dynamic clearance measurement of rotating blades
- 16 May 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 255
A Grating-Angle-Positioning method for dynamic clearance measurement of rotating blades
- 22 April 2026
- Published by Elsevier in Optics & Laser Technology
- Vol. 202
TeXNet: A deep learning-based method for full-field displacement measurement on natural texture surfaces
- 22 April 2026
- Published by Elsevier in Optics & Laser Technology
- Vol. 202
TeXNet: A deep learning-based method for full-field displacement measurement on natural texture surfaces
- 6 February 2026
- Published by Elsevier in NDT & E International
- Vol. 160
Grid-enhanced sampling moiré method for robust micro-deformation mapping under complex background noise
- 6 February 2026
- Published by Elsevier in NDT & E International
- Vol. 160
Grid-enhanced sampling moiré method for robust micro-deformation mapping under complex background noise
- 8 January 2026
- Published by Elsevier in International Journal of Mechanical Sciences
- Vol. 312
Advanced grid method for discontinuous displacement field measurement
- 8 January 2026
- Published by Elsevier in International Journal of Mechanical Sciences
- Vol. 312
Advanced grid method for discontinuous displacement field measurement
- 3 December 2025
- Published by Elsevier in Optics and Lasers in Engineering
- Vol. 198
Editorial to the special issue on measurement techniques in extreme environments
- 3 December 2025
- Published by Elsevier in Optics and Lasers in Engineering
- Vol. 198
Editorial to the special issue on measurement techniques in extreme environments
- 29 November 2025
- Published by Elsevier in Optics and Lasers in Engineering
- Vol. 197
Characterization of smartphone lens distortion and displacement measurement based on sampling moiré method
- 29 November 2025
- Published by Elsevier in Optics and Lasers in Engineering
- Vol. 197
Characterization of smartphone lens distortion and displacement measurement based on sampling moiré method
- 30 September 2025
- Published by IOP Publishing in Nanotechnology
- Vol. 36 (40) , 405203
Analysis of atomic distortion distributions in thin film and invisible substrate by FT-moiré inversion method
This study proposes the FT-moiré inversion method for accurately measuring and analyzing the atomic arrays in thin films and invisible substrates. The atomic arrays at the bottom of the structure cannot be directly observed in a scanning tunneling microscope (STM), but only the moiré pattern generated by their interference is visible. To overcome this limitation, the FT-moiré inversion method retrieves the characteristic parameters and compares the possibilities of all the interference combinations of moiré patterns in multilayer atomic structures, identifies the correct two atomic species, and then analyzes them to obtain the periodic characteristics of the potentially invisible atomic arrangements. The validity and accuracy of the FT-moiré inversion method are verified. Moreover, the FT-moiré inversion method is successfully applied to analyze the distortion distributions of thin-film atoms and invisible substrate atoms in the Fe2N–Cu(111) atomic structure. This method can probe underlying atomic features in structures that are not visible with STM and can be generalized to other atomic structure studies of thin films and substrates to achieve improved optoelectronic and mechanical properties through precise detection of lattice defects and tuning of strain fields.
- 30 September 2025
- Published by IOP Publishing in Nanotechnology
- Vol. 36 (40) , 405203
Analysis of atomic distortion distributions in thin film and invisible substrate by FT-moiré inversion method
This study proposes the FT-moiré inversion method for accurately measuring and analyzing the atomic arrays in thin films and invisible substrates. The atomic arrays at the bottom of the structure cannot be directly observed in a scanning tunneling microscope (STM), but only the moiré pattern generated by their interference is visible. To overcome this limitation, the FT-moiré inversion method retrieves the characteristic parameters and compares the possibilities of all the interference combinations of moiré patterns in multilayer atomic structures, identifies the correct two atomic species, and then analyzes them to obtain the periodic characteristics of the potentially invisible atomic arrangements. The validity and accuracy of the FT-moiré inversion method are verified. Moreover, the FT-moiré inversion method is successfully applied to analyze the distortion distributions of thin-film atoms and invisible substrate atoms in the Fe2N–Cu(111) atomic structure. This method can probe underlying atomic features in structures that are not visible with STM and can be generalized to other atomic structure studies of thin films and substrates to achieve improved optoelectronic and mechanical properties through precise detection of lattice defects and tuning of strain fields.