| Investigation on subsonic to supersonic flow around a sphere at low Reynolds number of between 50 and 300 by direct numerical simulation T Nagata, T Nonomura, S Takahashi, Y Mizuno, K Fukuda Physics of Fluids 28 (5), 2016 | 111 | 2016 |
| Supersonic and hypersonic drag coefficients for a sphere E Loth, J Tyler Daspit, M Jeong, T Nagata, T Nonomura AIAA journal 59 (8), 3261-3274, 2021 | 91 | 2021 |
| 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 | 73 | 2021 |
| Experimental investigation on compressible flow over a circular cylinder at Reynolds number of between 1000 and 5000 T Nagata, A Noguchi, K Kusama, T Nonomura, A Komuro, A Ando, K Asai Journal of Fluid Mechanics 893, A13, 2020 | 50 | 2020 |
| 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 | 41 | 2021 |
| Direct numerical simulation of subsonic, transonic and supersonic flow over an isolated sphere up to a Reynolds number of 1000 T Nagata, T Nonomura, S Takahashi, K Fukuda Journal of Fluid Mechanics 904, A36, 2020 | 39 | 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 | 35 | 2021 |
| A simple immersed boundary method for compressible flow simulation around a stationary and moving sphere Y Mizuno, S Takahashi, T Nonomura, T Nagata, K Fukuda Mathematical problems in Engineering 2015, 2015 | 34 | 2015 |
| Experimental investigation of transonic and supersonic flow over a sphere for Reynolds numbers of 10^3–10^5 by free-flight tests with schlieren visualization T Nagata, A Noguchi, T Nonomura, K Ohtani, K Asai Shock Waves 30 (2), 139-151, 2020 | 32 | 2020 |
| Direct numerical simulation of flow around a heated/cooled isolated sphere up to a Reynolds number of 300 under subsonic to supersonic conditions T Nagata, T Nonomura, S Takahashi, Y Mizuno, K Fukuda International Journal of Heat and Mass Transfer 120, 284-299, 2018 | 32 | 2018 |
| Frequency response of pressure-sensitive paints under low-pressure conditions M Kasai, D Sasaki, T Nagata, T Nonomura, K Asai Sensors 21 (9), 3187, 2021 | 31 | 2021 |
| Direct numerical simulation of flow over a triangular airfoil under Martian conditions L Caros, O Buxton, T Shigeta, T Nagata, T Nonomura, K Asai, P Vincent AIAA journal 60 (7), 3961-3972, 2022 | 28 | 2022 |
| 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, ... arXiv preprint arXiv:2206.09231, 2022 | 22 | 2022 |
| 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 | 21 | 2022 |
| Optimization of sparse sensor placement for estimation of wind direction and surface pressure distribution using time-averaged pressure-sensitive paint data on automobile model R Inoba, K Uchida, Y Iwasaki, T Nagata, Y Ozawa, Y Saito, T Nonomura, ... Journal of Wind Engineering and Industrial Aerodynamics 227, 105043, 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 |
| 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 | 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 |
| Optimum pressure range evaluation toward aerodynamic measurements using PSP in low-pressure conditions T Nagata, M Kasai, T Okudera, H Sato, T Nonomura, K Asai Measurement Science and Technology 31 (8), 085303, 2020 | 18 | 2020 |
| Direct numerical simulation of flow past a transversely rotating sphere up to a Reynolds number of 300 in compressible flow T Nagata, T Nonomura, S Takahashi, Y Mizuno, K Fukuda Journal of Fluid Mechanics 857, 878-906, 2018 | 17 | 2018 |
Taku NonomuraDepartment of Aerospace Engineering, Graduate School of Engineering, Nagoya University在 mae.nagoya-u.ac.jp 的电子邮件经过验证
