The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Defect detection of solar cells in electroluminescence images using Fourier image reconstruction
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Textural Features for Image Classification
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886
A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
Xie, X. (2008) · ELCVIA Electronic Letters on Computer Vision and Image Analysis · doi:10.5565/rev/elcvia.268 · Cited by 500
Fabric defect detection by Fourier analysis
Chan, C.-H., & Pang, G. K. H. (2000) · IEEE Transactions on Industry Applications · doi:10.1109/28.871274 · Cited by 443
Optimal Gabor filters for textile flaw detection
Bodnarova, A., Bennamoun, M., & Latham, S. (2002) · Pattern Recognition · doi:10.1016/s0031-3203(02)00017-1 · Cited by 175
Cited by
Surface Defect Detection Methods for Industrial Products: A Review
Chen, Y., Ding, Y., Zhao, F., Zhang, E., Wu, Z., & Shao, L. (2021) · Applied Sciences · doi:10.3390/app11167657 · Cited by 457
CNN based automatic detection of photovoltaic cell defects in electroluminescence images
Akram, M. W., Li, G., Jin, Y., Chen, X., Zhu, C., Zhao, X., Khaliq, A., Faheem, M., & Ahmad, A. (2019) · Energy · doi:10.1016/j.energy.2019.116319 · Cited by 339
Yu, J., Yang, Y., Zhang, H., Sun, H., Zhang, Z., Xia, Z., Zhu, J., Dai, M., & Wen, H. (2022) · Micromachines · doi:10.3390/mi13020332 · Cited by 14
Metadata
- Authors
- Tsai, D.-M., Wu, S.-C., & Li, W.-C.
- Venue
- Solar Energy Materials and Solar Cells
- Publisher
- Elsevier BV
- Published
- 2012-04
- Volume
- 99
- Pages
- 250-262
- ISSN
- 0927-0248 (ISSN-L)
- OpenAlex
- W2065178107
- Cited by
- 190
- References
- 4
- FWCI
- 15.74
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Defect detection of solar cells in electroluminescence images using Fourier image reconstruction. https://app.cochat.ai/papers/10.1016/j.solmat.2011.12.007
- The paper
- Tsai, D.-M., Wu, S.-C., & Li, W.-C. (2012). Defect detection of solar cells in electroluminescence images using Fourier image reconstruction. Solar Energy Materials and Solar Cells. https://doi.org/10.1016/j.solmat.2011.12.007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.