Zhiqiang Ge

Nanjing Tech University — China

Engineering · Physical Sciences

62h-index14.4kcitations318works6.12yr avg
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Research Topics

Fault Detection and Control Systems(242), Mineral Processing and Grinding(123), Spectroscopy and Chemometric Analyses(77), Advanced Control Systems Optimization(72), Advanced Statistical Process Monitoring(50)

Publications318 total

Biological Characteristics of Dasineura jujubifolia and Its Parasitoid Natural Enemies in Hami Region of Xinjiang (China)
Insects·2025Open Access
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model
Chemometrics and Intelligent Laboratory Systems·2025· 1 cited
Bagging deep residual principal component analysis for ensemble industrial process monitoring
Process Safety and Environmental Protection·2025· 1 cited
Structure Learning of Deep Gaussian and Non-Gaussian Information Fusion Framework for Automated Predictive Data Analytics
IEEE Transactions on Cybernetics·2025
Enhancing Reliability and Performance of Deep GnG Monitoring Framework Under Low-Quality Industrial Data
IEEE Transactions on Reliability·2025
Fully Automated Deep Residual PCA Network
IEEE Transactions on Industrial Informatics·2025· 5 cited
Deep Residual Learning of a Probabilistic’ Partial Least Squares Model for Predictive Data Analytics
IEEE Transactions on Artificial Intelligence·2025
Deep extraction and augmentation of non-Gaussian data features for multimode industrial process monitoring
Chemical Engineering Science·2025· 2 cited
Deep Co-Training Partial Least Squares Model for Semi-Supervised Industrial Soft Sensing
IEEE Transactions on Systems Man and Cybernetics Systems·2025· 5 cited
Collaborative Deep Learning and Information Fusion of Heterogeneous Latent Variable Models for Industrial Quality Prediction
IEEE Transactions on Cybernetics·2025· 3 cited
Discriminative maximum mean and covariance discrepancy based domain adaptation for cross-domain image classification
2025
Online quality estimation in chemical processes with random subspace deep partial least squares model
Chemical Engineering Science·2025· 1 cited
Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms
Expert Systems with Applications·2025· 13 cited
Local deep learning of principal component regression model for spectroscopic calibration of time-varying spectra data
Measurement·2025· 1 cited
Laser-based fabrication of superhydrophobic glass with high transparency and robustness
Journal of Central South University·2025· 6 cited
Subspace Deep Learning of Independent Component Regression Model for Ensemble Spectroscopic Calibration
IEEE Sensors Journal·2025
Multi-Rate Data Distillation for Deep Process Monitoring
IEEE Transactions on Instrumentation and Measurement·2025· 1 cited
Advancing Industrial Data Augmentation in AIGC Era: From Foundations to Frontier Applications
IEEE Transactions on Instrumentation and Measurement·2025· 17 cited
An experimental investigation on the multi-objective optimization of laser cladding repairing process parameters for hydrogenation reactors
International Journal of Pressure Vessels and Piping·2024· 3 cited
Industrial Process Monitoring Based on Deep Gaussian and Non-Gaussian Information Fusion Framework
IEEE Transactions on Artificial Intelligence·2024· 9 cited
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Frequent Co-authors

Zhihuan Song(24), Zhihuan Song(6), Xiaofeng Yuan(6), Furong Gao(4), Biao Huang(4), Jinlin Zhu(4), Le Yao(4), Qingqiang Sun(3), Yalin Wang(3), Xiaoyu Jiang(3), Chunhua Yang(2), Muguang Zhang(2), Le Zhou(2), Xiangyin Kong(2), Steven X. Ding(1), Chunjie Yang(1), Weihua Gui(1), Ruowei Fu(1), Zhihuan Song(1), Junghui Chen(1)