Yang Zhang
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
Yang Zhang has a total of 27 co-authors. Here are the top co-authors by number of shared publications:
Jingshu Ni
Hefei Institutes of Physical Science, Chinese Academy of Sciences
2 shared publicationsMeili Dong
Hefei Institutes of Physical Science, Chinese Academy of Sciences
2 shared publicationsYao Huang
Hefei Institutes of Physical Science, Chinese Academy of Sciences
2 shared publicationsYikun Wang
Anhui Medical University
2 shared publications- Chengzhi Wu
Anhui Medical University
1 shared publication Chenhui Nan
MOE Key Laboratory for Nonequilibrium Synthese and Modulation of Condensed Matter, Xi’an Jiaotong University, Xi’an, People's Republic of China
1 shared publication
Latest Publications
- 1 October 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Internet of Things Journal
- Vol. 13 (19) , 45273-45288
Joint Segmentation-Registration Optimization for Single Snapshot Spatial Frequency Domain Imaging
- 1 October 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Internet of Things Journal
- Vol. 13 (19) , 45273-45288
Joint Segmentation-Registration Optimization for Single Snapshot Spatial Frequency Domain Imaging
- 3 October 2023
- Published by Wiley in Journal of Biophotonics
- Vol. 17 (1) , e202300098
Noninvasive detection of diabetes mellitus based on skin fluorescence and diffuse reflectance spectroscopy
There is an urgent need for a mass population screening tool for diabetes. Skin tissue contains a large number of endogenous fluorophores and physiological parameter markers related to diabetes. We built an excitation‐emission spectrum measurement system with the excited light sources of 365, 395, 415, 430, and 455 nm to extract skin characteristics. The modeling experiment was carried out to design and verify the accuracy of the recovery of tissue intrinsic discrete three‐dimensional fluorescence spectrum. Blood oxygen modeling experiment results indicated the accuracy of the physiological parameter extraction algorithm based on the diffuse reflectance spectrum. A community population cohort study was carried out. The tissue‐reduced scattering coefficient and scattering power of the diabetes were significantly higher than normal control groups. The Gaussian multi‐peak fitting was performed on each excitation‐emission spectrum of the subject. A total of 63 fluorescence features containing information such as Gaussian spectral curve intensity, central wavelength position, and variance were obtained from each person. Logistic regression was used to construct the diabetes screening model. The results showed that the area under the receiver operating characteristic curve of the model for predicting diabetes was 0.816, indicating a high diagnostic value. As a rapid and non‐invasive detection method, it is expected to have high clinical value.
- 3 October 2023
- Published by Wiley in Journal of Biophotonics
- Vol. 17 (1) , e202300098
Noninvasive detection of diabetes mellitus based on skin fluorescence and diffuse reflectance spectroscopy
There is an urgent need for a mass population screening tool for diabetes. Skin tissue contains a large number of endogenous fluorophores and physiological parameter markers related to diabetes. We built an excitation‐emission spectrum measurement system with the excited light sources of 365, 395, 415, 430, and 455 nm to extract skin characteristics. The modeling experiment was carried out to design and verify the accuracy of the recovery of tissue intrinsic discrete three‐dimensional fluorescence spectrum. Blood oxygen modeling experiment results indicated the accuracy of the physiological parameter extraction algorithm based on the diffuse reflectance spectrum. A community population cohort study was carried out. The tissue‐reduced scattering coefficient and scattering power of the diabetes were significantly higher than normal control groups. The Gaussian multi‐peak fitting was performed on each excitation‐emission spectrum of the subject. A total of 63 fluorescence features containing information such as Gaussian spectral curve intensity, central wavelength position, and variance were obtained from each person. Logistic regression was used to construct the diabetes screening model. The results showed that the area under the receiver operating characteristic curve of the model for predicting diabetes was 0.816, indicating a high diagnostic value. As a rapid and non‐invasive detection method, it is expected to have high clinical value.
- 20 June 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 0248-0251
Investigation on bifaciality factor and ideality factor of PERC bifacial solar module under different irradiances
In this paper, the bifaciality factor and ideality factor of PERC bifacial solar module are investigated under different irradiances. By measuring the electrical performance under different irradiances, it is found that the bifaciality factor of PERC bifacial solar module increases when the irradiance increases. Meanwhile, the ideality factor of PERC bifacial solar module under different irradiances is obtained according to the single-diode model. It is found that the ideality factor of PERC bifacial solar module increases as irradiance intensity increases under the same temperature. The results are beneficial to understand the performance of PERC bifacial solar module in the field.
- 20 June 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 0248-0251
Investigation on bifaciality factor and ideality factor of PERC bifacial solar module under different irradiances
In this paper, the bifaciality factor and ideality factor of PERC bifacial solar module are investigated under different irradiances. By measuring the electrical performance under different irradiances, it is found that the bifaciality factor of PERC bifacial solar module increases when the irradiance increases. Meanwhile, the ideality factor of PERC bifacial solar module under different irradiances is obtained according to the single-diode model. It is found that the ideality factor of PERC bifacial solar module increases as irradiance intensity increases under the same temperature. The results are beneficial to understand the performance of PERC bifacial solar module in the field.