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Cited by in F6Publishing
For: Yuan Y, Dong L, Li X. Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization. IEEE Trans Geosci Remote Sensing 2022;60:1-14. [DOI: 10.1109/tgrs.2021.3095488] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Jia X, Guo B. Non-Negative Matrix Factorization Based on Smoothing and Sparse Constraints for Hyperspectral Unmixing. Sensors 2022;22:5417. [DOI: 10.3390/s22145417] [Reference Citation Analysis]
2 Feng X, Han L, Dong L. Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing. Remote Sensing 2022;14:383. [DOI: 10.3390/rs14020383] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
3 Zhang X, Yuan Y, Li X. Sparse Unmixing Based on Adaptive Loss Minimization. IEEE Trans Geosci Remote Sensing 2022;60:1-14. [DOI: 10.1109/tgrs.2022.3183096] [Reference Citation Analysis]
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