Wenjia Liu

Qiqihar University — China

Computer Science · Physical Sciences

9h-index320citations29works4.62yr avg
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Research Topics

Computational Drug Discovery Methods(10), Machine Learning in Materials Science(7), Metabolomics and Mass Spectrometry Studies(3), Chemistry and Chemical Engineering(3), Mobile Ad Hoc Networks(2)

Publications29 total

McGPCR: A Multimodal Learning Model with Improved Applicability Domain Characterization for Predicting G Protein-Coupled Receptor Affinity of Plastic Chemicals
Environmental Science & Technology·2025· 1 cited
In Situ Acoustic Velocity Detection System for Natural Gas Hydrate-Bearing Pressurized Cores and Acoustic Characteristic Analysis of Sediments
IEEE Sensors Journal·2025
Enlarged Data Sets and Innovative Applicability Domain Characterization Empower ML Models to Reliably Bridge hERG Binding Data Gaps in Diverse Chemicals
Chemical Research in Toxicology·2025· 2 cited
Machine Learning Models Based on Enlarged Chemical Spaces for Screening Carcinogenic Chemicals
Chemical Research in Toxicology·2025· 2 cited
Consensus Modeling Strategies for Predicting Transthyretin Binding Affinity from Tox24 Challenge Data
Chemical Research in Toxicology·2025· 5 citedOpen Access
Isolation, Identification, and Fermentation Optimization of Phytase-Producing Bacteria and Their Effects on Soybean Seedlings
Applied Biochemistry and Biotechnology·2025· 1 cited
Transfer Learning with a Graph Attention Network and Weighted Loss Function for Screening of Persistent, Bioaccumulative, Mobile, and Toxic Chemicals
Environmental Science & Technology·2024· 15 cited
Enhancing Accuracy of Flame Equivalence Ratio Measurements: An Attention-Based Convolutional Neural Network Approach for Overcoming Limitations in Traditional Color Modeling
Sensors·2024· 1 citedOpen Access
Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies
Environmental Science & Technology·2024· 22 cited
Viscoelastic Mechanical Signature-Based Machine Learning for Assessment of Liver Fibrosis and Its Regression
International Journal of Applied Mechanics·2024· 1 cited
Incorporating a backward-forward stochastic particle tracking model into a hydraulic modeling framework to identify probable sedimentation sources during typhoons
Journal of Hydrology Regional Studies·2024· 1 citedOpen Access
Applicability Domains Based on Molecular Graph Contrastive Learning Enable Graph Attention Network Models to Accurately Predict 15 Environmental End Points
Environmental Science & Technology·2023· 29 cited
QSAR modeling based on graph neural networks
Elsevier eBooks·2023· 2 cited
In vitro to in vivo extrapolation methods in chemical hazard identification and risk assessment
Elsevier eBooks·2023· 1 cited
List of contributors
Elsevier eBooks·2023
Machine Learning Model for Screening Thyroid Stimulating Hormone Receptor Agonists Based on Updated Datasets and Improved Applicability Domain Metrics
Chemical Research in Toxicology·2023· 31 cited
Graph Attention Network Model with Defined Applicability Domains for Screening PBT Chemicals
Environmental Science & Technology·2022· 67 cited
Potential Application of Machine-Learning-Based Quantum Chemical Methods in Environmental Chemistry
Environmental Science & Technology·2022· 52 cited
Machine learning models on chemical inhibitors of mitochondrial electron transport chain
Journal of Hazardous Materials·2021· 17 cited
Environmental systems engineering consideration on treatment of emerging pollutants and risk prevention and control of chemicals
Chinese Science Bulletin (Chinese Version)·2021· 7 cited
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Frequent Co-authors

Jingwen Chen(14), Haobo Wang(9), Zhongyu Wang(7), Zhiqiang Fu(4), Huixiao Hong(3), Willie J.G.M. Peijnenburg(2), Weihao Tang(2), Yongping Xu(2), Yongxin Sun(2), Liji Jin(2), Yunhan Cui(2), Yuebin Bai(2), Yuxuan Zhang(2), Deming Xia(1), Tong Xu(1), Hong‐Bin Xie(1), Hongtao Liu(1), Shixin Ji(1), Tingting Wang(1), Jiayu Wang(1)