47 citations to 10.1016/j.aml.2019.04.019 (Crossref Cited-By Service)
  1. Xiao-Tong Li, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang, “Low-rank tensor completion via combined non-local self-similarity and low-rank regularization”, Neurocomputing, 367, 2019, 1  crossref
  2. Yaxiu Zhang, Qilong Liu, Zhen Chen, “Preconditioned Jacobi type method for solving multi-linear systems with M-tensors”, Applied Mathematics Letters, 104, 2020, 106287  crossref
  3. Guangjing Song, Michael K. Ng, Xiongjun Zhang, “Robust tensor completion using transformed tensor singular value decomposition”, Numerical Linear Algebra App, 27, № 3, 2020, e2299  crossref
  4. Xuezhong Wang, Changxin Mo, Sanzheng Qiao, Yimin Wei, “Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations”, Neurocomputing, 472, 2022, 68  crossref
  5. Ping-Fan Dai, Jianchao Bai, Jicheng Li, “A General Preconditioner for Tensor Complementarity Problems”, J Sci Comput, 98, № 1, 2024, 3  crossref
  6. Malihe Nobakht-Kooshkghazi, Mehdi Najafi-Kalyani, “Improving the Gauss–Seidel iterative method for solving multi-linear systems with $\mathcal {M}$-tensors”, Japan J. Indust. Appl. Math., 41, № 2, 2024, 1061  crossref
  7. Jianxing Zhao, “Optimal $Z$-Eigenvalue Inclusion Intervals for Even Order Tensors and Their Applications”, Acta Appl Math, 174, № 1, 2021, 2  crossref
  8. Lu-Bin Cui, Wen-Li Hu, Jin-Yun Yuan, “Iterative refinement method by higher-order singular value decomposition for solving multi-linear systems”, Applied Mathematics Letters, 146, 2023, 108819  crossref
  9. Maolin Liang, Bing Zheng, Yutao Zheng, Ruijuan Zhao, “A two-step accelerated Levenberg–Marquardt method for solving multilinear systems in tensor-train format”, Journal of Computational and Applied Mathematics, 382, 2021, 113069  crossref
  10. Yuhan Chen, Chenliang Li, “A new preconditioned AOR method for solving multi-linear systems”, Linear and Multilinear Algebra, 2023, 1  crossref
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