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, no. 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, no. 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, no. 2, 2024, 1061  crossref
  7. Jianxing Zhao, “Optimal $Z$-Eigenvalue Inclusion Intervals for Even Order Tensors and Their Applications”, Acta Appl Math, 174, no. 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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