| A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes J Qian, Z Song, Y Yao, Z Zhu, X Zhang Chemometrics and Intelligent Laboratory Systems 231, 104711, 2022 | 139 | 2022 |
| Imbalanced sample selection with deep reinforcement learning for fault diagnosis S Fan, X Zhang, Z Song IEEE Transactions on Industrial Informatics 18 (4), 2518-2527, 2021 | 94 | 2021 |
| A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking X Zhang, M Kano, S Matsuzaki Computers & chemical engineering 130, 106575, 2019 | 81 | 2019 |
| Locally weighted kernel partial least squares regression based on sparse nonlinear features for virtual sensing of nonlinear time-varying processes X Zhang, M Kano, Y Li Computers & Chemical Engineering 104, 164-171, 2017 | 64 | 2017 |
| Data‐Driven Modeling Methods in Sintering Process: Current Research Status and Perspectives F Yan, X Zhang, C Yang, B Hu, W Qian, Z Song The Canadian Journal of Chemical Engineering, 2022 | 62 | 2022 |
| Diffusion maps based k-nearest-neighbor rule technique for semiconductor manufacturing process fault detection Y Li, X Zhang Chemometrics and Intelligent Laboratory Systems 136, 47-57, 2014 | 60 | 2014 |
| Quality prediction in complex batch processes with just-in-time learning model based on non-Gaussian dissimilarity measure X Zhang, Y Li, M Kano Industrial & Engineering Chemistry Research 54 (31), 7694-7705, 2015 | 50 | 2015 |
| DSTED: A denoising spatial–temporal encoder–decoder framework for multistep prediction of burn-through point in sintering process F Yan, C Yang, X Zhang IEEE Transactions on Industrial Electronics 69 (10), 10735-10744, 2022 | 49 | 2022 |
| Ensemble pattern trees for predicting hot metal temperature in blast furnace X Zhang, M Kano, S Matsuzaki Computers & Chemical Engineering 121, 442-449, 2019 | 47 | 2019 |
| Prediction and causal analysis of defects in steel products: Handling nonnegative and highly overdispersed count data X Zhang, M Kano, M Tani, J Mori, J Ise, K Harada Control Engineering Practice 95, 104258, 2020 | 45 | 2020 |
| Data-driven soft sensors in blast furnace ironmaking: a survey Y Luo, X Zhang, M Kano, L Deng, C Yang, Z Song Frontiers of Information Technology & Electronic Engineering 24 (3), 327-354, 2023 | 33 | 2023 |
| Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning S Fan, X Zhang, Z Song Neurocomputing 463, 422-436, 2021 | 24 | 2021 |
| Feature-aligned stacked autoencoder: A novel semisupervised deep learning model for pattern classification of industrial faults X Zhang, H Zhang, Z Song IEEE Transactions on Artificial Intelligence 4 (4), 592-601, 2021 | 23 | 2021 |
| Fast locally weighted PLS modeling for large-scale industrial processes X Zhang, C Wei, Z Song Industrial & Engineering Chemistry Research 59 (47), 20779-20786, 2020 | 22 | 2020 |
| Optimal weighting distance-based similarity for locally weighted PLS modeling X Zhang, M Kano, Z Song Industrial & Engineering Chemistry Research 59 (25), 11552-11558, 2020 | 22 | 2020 |
| Multisource information fusion for autoformer: Soft sensor modeling of FeO content in iron ore sintering process C Yang, C Yang, X Zhang, J Zhang IEEE Transactions on Industrial Informatics 19 (12), 11584-11595, 2023 | 20 | 2023 |
| Dynamic variational Bayesian Student's T mixture regression with hidden variables propagation for industrial inferential sensor development J Wang, W Shao, X Zhang, Z Song IEEE transactions on industrial informatics 17 (8), 5314-5324, 2020 | 20 | 2020 |
| Information complementary fusion stacked autoencoders for soft sensor applications in multimode industrial processes X Zhang, B He, H Zhu, Z Song IEEE Transactions on Industrial Informatics 20 (1), 106-116, 2023 | 17 | 2023 |
| Variable moving windows based non‐Gaussian dissimilarity analysis technique for batch processes fault detection and diagnosis Y Li, X Zhang The Canadian Journal of Chemical Engineering 93 (4), 689-707, 2015 | 16 | 2015 |
| Stacked spatial–temporal autoencoder for quality prediction in industrial processes F Yan, C Yang, X Zhang IEEE Transactions on Industrial Informatics 19 (8), 8625-8634, 2022 | 15 | 2022 |
Song ZhihuanProfessor of Control Science & Engineering, Zhejiang UniversityPotvrđena adresa e-pošte na zju.edu.cn