Get started
Author

Guoquan Wen

Observed names: Guo-Quan Wen, Wen, Guoquan
ORCID: 0000-0003-3216-9532
Observed ORCID: 0000-0003-3216-9532
OpenAlex ID: A5101802992
Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing
2023 · Chao Min, Guoquan Wen, et al. · Energy · 42
PDF
Blind Deblurring via a Novel Recursive Deep CNN Improved by Wavelet Transform
2018 · Chao Min, Guoquan Wen, et al. · IEEE Access · 30
Non-Intrusive Load Monitoring System Based on Convolution Neural Network and Adaptive Linear Programming Boosting
2019 · Chao Min, Guoquan Wen, et al. · Energies · 14
PDF
Hybrid Deep Learning Approach for Hydraulic Fracture Morphology Diagnosis in Coalbed Methane Wells
2024 · Zhao-Zhong Yang, Liang-Jie Gou, et al. · Energy & Fuels · 11
Ensemble interpretation: a unified framework for explanation methods
2025 · Chao Min, Guoyong Liao, et al. · Neural Computing and Applications · 8
PDF
Dynamical counterfactual inference under time-series model for waterflooding oilfield
2024 · Guoquan Wen, Chao Min, et al. · Petroleum · 3
Patch-Wise Blind Image Deblurring Via Michelson Channel Prior
2019 · Guoquan Wen, Chao Min, et al. · IEEE Access · 3
PDF
Interpretable rate-of-penetration prediction using a Bayesian-optimized MAML-LSTM-Transformer under small-sample conditions
2026 · Chao Min, Jialiang Ge, et al. · Energy and AI · 2
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference
2024 · Min, Chao, Wen, Guoquan, et al. · arXiv (Cornell University) · 1
PDF
Domain Adaption and Physical Constrains Transfer Learning for Shale Gas Production Prediction
2024 · Zhaozhong Yang, Liangjie Gou, et al. · SSRN Electronic Journal · 1
Domain adaption and physical constrains transfer learning for shale gas production
2023 · Yang, Zhaozhong, Gou, Liangjie, et al. · arXiv (Cornell University) · 1
PDF
Physics-guided diffusion models for explainable industrial time-series forecasting
2026 · Guoquan Wen, Dayuan Ren, et al. · Engineering Applications of Artificial Intelligence
Environment-invariant causal representation learning for industrial multivariate time series forecasting
2026 · Guoquan Wen, Chao Min, et al. · Advanced Engineering Informatics
A novel causal meta-learning method based on causality for the prediction of CBM well productivity
2026 · Chao Min, Jialiang Ge, et al. · Research Square
PDF
Interpretable Temporal Dynamic Gnn Model for Shale Gas Wellhead Pressure Prediction During Hydraulic Fracturing
2023 · Zhaozhong Yang, Liangjie Gou, et al. · SSRN Electronic Journal
Interpretable Temporal Dynamic Gnn Model for Shale Gas Wellhead Pressure Prediction During Hydraulic Fracturing
2023 · Zhaozhong Yang, Liangjie Gou, et al. · SSRN Electronic Journal
Works count: 16
Citation count: 116
H-index: 5
I10-index: 4
Year
Topic
Type