Determinant-based fast greedy sensor selection algorithm Y Saito, T Nonomura, K Yamada, K Nakai, T Nagata, K Asai, Y Sasaki, ... IEEE Access 9, 68535-68551, 2021 | 70 | 2021 |

Fast greedy optimization of sensor selection in measurement with correlated noise K Yamada, Y Saito, K Nankai, T Nonomura, K Asai, D Tsubakino Mechanical Systems and Signal Processing 158, 107619, 2021 | 47 | 2021 |

Data-driven sparse sensor selection based on A-optimal design of experiment with ADMM T Nagata, T Nonomura, K Nakai, K Yamada, Y Saito, S Ono IEEE Sensors Journal 21 (13), 15248-15257, 2021 | 36 | 2021 |

Data-driven vector-measurement-sensor selection based on greedy algorithm Y Saito, T Nonomura, K Nankai, K Yamada, K Asai, Y Sasaki, ... IEEE Sensors Letters 4 (7), 1-4, 2020 | 36 | 2020 |

Effect of objective function on data-driven greedy sparse sensor optimization K Nakai, K Yamada, T Nagata, Y Saito, T Nonomura IEEE Access 9, 46731-46743, 2021 | 34 | 2021 |

Seismic wavefield reconstruction based on compressed sensing using data-driven reduced-order model T Nagata, K Nakai, K Yamada, Y Saito, T Nonomura, M Kano, S Ito, ... Geophysical Journal International 233 (1), 33-50, 2023 | 20 | 2023 |

Data-driven sensor selection method based on proximal optimization for high-dimensional data with correlated measurement noise T Nagata, K Yamada, T Nonomura, K Nakai, Y Saito, S Ono IEEE Transactions on Signal Processing 70, 5251-5264, 2022 | 20 | 2022 |

Data-Driven Determinant-Based Greedy Under/Oversampling Vector Sensor Placement. Y Saito, K Yamada, N Kanda, K Nakai, T Nagata, T Nonomura, K Asai CMES-Computer Modeling in Engineering & Sciences 129 (1), 2021 | 20 | 2021 |

Greedy sensor selection for weighted linear least squares estimation under correlated noise K Yamada, Y Saito, T Nonomura, K Asai IEEE Access 10, 79356-79364, 2022 | 19* | 2022 |

Randomized group-greedy method for large-scale sensor selection problems T Nagata, K Yamada, K Nakai, Y Saito, T Nonomura IEEE Sensors Journal 23 (9), 9536-9548, 2023 | 18 | 2023 |

Nondominated-solution-based multi-objective greedy sensor selection for optimal design of experiments K Nakai, Y Sasaki, T Nagata, K Yamada, Y Saito, T Nonomura IEEE Transactions on Signal Processing 70, 5694-5707, 2022 | 18 | 2022 |

Proof-of-concept study of sparse processing particle image velocimetry for real time flow observation N Kanda, C Abe, S Goto, K Yamada, K Nakai, Y Saito, K Asai, ... Experiments in Fluids 63 (9), 143, 2022 | 18 | 2022 |

Observation site selection for physical model parameter estimation towards process-driven seismic wavefield reconstruction K Nakai, T Nagata, K Yamada, Y Saito, T Nonomura, M Kano, S Ito, ... Geophysical Journal International 234 (3), 1786-1805, 2023 | 8 | 2023 |

Sensor selection by greedy method for linear dynamical systems: Comparative study on Fisher-information-matrix, observability-Gramian and Kalman-filter-based indices S Takahashi, Y Sasaki, T Nagata, K Yamada, K Nakai, Y Saito, ... IEEE Access, 2023 | 7 | 2023 |

Efficient sensor node selection for observability Gramian optimization K Yamada, Y Sasaki, T Nagata, K Nakai, D Tsubakino, T Nonomura Sensors 23 (13), 5961, 2023 | 6 | 2023 |

Sensor Selection with Cost Function using Nondominated-Solution-based Multi-objective Greedy Method Y Saito, K Nakai, T Nagata, K Yamada, T Nonomura, K Sakaki, Y Nunome IEEE Sensors Journal, 2023 | 3 | 2023 |

Assessment of Sensor Optimization Methods Toward State Estimation in a High-Dimensional System using Kalman Filter T Nagata, Y Sasaki, K Yamada, M Watanabe, D Tsubakino, T Nonomura IEEE Sensors Journal, 2024 | 2 | 2024 |

Improved estimation of yaw angle and surface pressure distribution of Ahmed model with optimized sparse sensors by Bayesian framework based on pressure-sensitive paint data R Inoba, K Uchida, Y Iwasaki, K Yamada, A Jebli, T Nagata, Y Ozawa, ... Experimental Thermal and Fluid Science 156, 111210, 2024 | 1 | 2024 |

Fast data-driven greedy sensor selection for ridge regression Y Sasaki, K Yamada, T Nagata, Y Saito, T Nonomura arXiv preprint arXiv:2402.10596, 2024 | 1 | 2024 |

Determinant factors of performance in token test for japanese aphasics K Yamada International Journal of Psychology 27 (3-4), 393-393, 1992 | 1 | 1992 |