近5年代表论文：

[15] M. Wang, B. Shang, Y. Li, X. Zhao, L. Gao*, et al, ''Cross-satellite hierarchical multimodal denoising for hyperspectral imagery,'' ISPRS Journal of Photogrammetry and Remote Sensing, 2026, vol.232, pp:94-108. (SCI, 中科院一区TOP，IF=12.2)

[14] M. Wang, B. Shang, J. Yao, R. Zhao*, et al, "Dual-Interaction Spatiotemporal Fusion Network for Agricultural Remote Sensing Imagery," in IEEE Journal of Selected Topics in Signal Processing, 2025, doi: 10.1109/JSTSP.2025.3631404. （SCI, 中科院二区，IF=13.7）

[13] M. Wang, J. Yao, B. Zhang* and J. Zhou*, "Adaptive Fusion-Based Two-Flow Spectral–Spatial Transformer Network for SAR-Based Optical Cloud Removal," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 235-248, 2026, doi: 10.1109/JSTARS.2025.3629856. (SCI, 中科院二区，IF=5.3)

[12] M. Wang, X. Zhao and L. Ren, "Enhancing Cloud-Removed Regions in Multispectral Optical Images Using SAR Edge Features," in IEEE Geoscience and Remote Sensing Letters, vol. 22, pp. 1-5, 2025. (SCI, 中科院三区，IF=4.4)

[10] M. Wang, L. Gao*, L. Ren, et al, "Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 13966-13980, 2024, doi: 10.1109/JSTARS.2024.3437460. (SCI, 中科院二区，IF=5.3)

[9] M. Wang, et. al., "Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection," in IEEE Transactions on Cybernetics, vol. 53, no. 1, pp. 679-691, Jan. 2023. (SCI, JCR:Q1,中科院一区TOP, IF=11.8，ESI高被引).

[8] M. Wang, et. al., "Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review," in IEEE Geoscience and Remote Sensing Magazine, doi: 10.1109/MGRS.2022.3227063, 2023. (SCI, JCR:Q1, 中科院一区, IF=16.2，ESI高被引)

[7] M. Wang*, et. al., "Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial–Spectral Total Variation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, pp. 488-507, Jan. 2021. (SCI, JCR:Q1, 中科院一区TOP, IF=8.2，ESI高被引).

[6] M. Wang*, et. al., " l0-l1 Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7695-7710, Sept. 2021. (SCI, JCR:Q1, 中科院一区TOP, IF=8.2).

[5] M. Wang, et. al., "Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3261964, 2023. (SCI, JCR:Q1, 中科院一区TOP, IF=8.2)

[4] M. Wang*, et. al., "Tensor Low-Rank Constraint and l0 Total Variation for Hyperspectral Image Mixed Noise Removal," in IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 3, pp. 718-733, April 2021. (SCI, JCR:Q1, 中科院一区TOP，IF=7.5).

[3] M. Wang*, et. al., "Total Variation Regularized Weighted Tensor Ring Decomposition for Missing Data Recovery in High-Dimensional Optical Remote Sensing Images," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022. (SCI, JCR:Q1, 中科院三区，IF=4.8).

[2] M. Wang* and Q. Wang, "Hypergraph-regularized sparse representation for color image super resolution, " in Journal of Visual Communication and Image Representation, vol. 74, Jan. 2021. (SCI, JCR:Q2,中科院三区，IF=2.887).

[1] M. Bi, M. Wang*, Z. Li, et. al., "Vision Transformer with Contrastive Learning for Remote Sensing Image Scene Classification, " in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp:738-749, 2023. (SCI, JCR:Q2, 中科院二区TOP，IF=4.715，ESI高被引).