Publications
You can also find my articles on my Google Scholar profile.
Publications
- Y. Shao, X. Zhang, W. Tan, Y. Zhao, F. Li & B. Gao. (2025). Mixed matrix membrane of Pebax-1657 incorporated with H2O2-modified ball-milled biochar for enhanced CO2 separation. Environmental Research, 285, 122302. [SCI Top / JCR Q1]
- W. Chen, Y. Shao (Co-first author), Z. Xu, Z. Bing, S. Cui, Z. Dai, S. Yin, Y. Gao & L. Liu. (2026). Ensemble Machine Learning for Operational Water Quality Monitoring Using Weighted Model Fusion for pH Forecasting. Sustainability, 11. [SCI / JCR Q2]
- X. Zhang, W. Xiang, G. Qi, Z. Pan, Y. Shao, X. Zhuang & F. Li. (2026). Degradation of pharmaceuticals and personal care products in soils and water. In Adsorption and Degradation of Emerging Contaminants in Soils and Water (pp. 45-93). [Book Chapter]
- C. Dai, Z. Xu, H. Luo, T. Zhou, Y. Shao, T. Wu, L. Xie & Q. Feng. (2026). Nanoporous materials for isovalent ion separation: Confined transport, chemical recognition and data-guided design. Science China Materials (2nd revision). [SCI Top / JCR Q1]
- C. Cao, X. Zhuang, L. Cao, Y. Shao, Y. Zhao & X. Zhang. (2026). Recent Advances in Biochar for CO2 Capture: Structural Characteristics, Modification Strategies and Influencing Factors. Water, Air, & Soil Pollution. (2nd revision) [SCI / JCR Q2]
- Y. Shao, X. Zhang, S. Wang, Y. Zhao, C. Cao & B. Gao. (2026). Machine Learning-Driven Design of Amino-Functionalized Biochar/Pebax Mixed Matrix Membranes for Optimal CO2 Separation. Journal of Membrane Science. (Under review) [SCI Top / JCR Q1]
- Y. Shao, X. Wu, Y. Gao, Z. Zhou, H. Fei, J. Chang & S. Cui. (2026). A Domain-Adaptive Physics-Augmented Long Short-Term Memory Framework for Extreme Few-Shot Battery Degradation Prediction. Journal of The Electrochemical Society. (Under review) [SCI / JCR Q2]
- Y. Shao, S. Cui, Y. Gao & S. Sang. (2026). BattField-LLM: An Evidence-Grounded Small Language Model for Structured Extraction of Lithium-Ion and Sodium-Ion Battery Data. Journal of Chemical Information and Modeling. (With Editor) [SCI Top / JCR Q1]
- S. Cui, Y. Shao (Co-first author), Y. Gao, Y. Yang, S. Liu & Z. Xu. (2026). Adaptive-Gated Ensemble Learning for Lithium-Ion Battery State-of-Health Prediction. Journal of Power Sources (With Editor). [SCI / JCR Q1]
- S. Liu, Y. Gao, Y. Shao & S. Yin. (2026). Improving NAO Left-Arm Inverse Kinematics via Rotation Matrix Encoding, Chained Kernel Regression, and Non-Negative Least Squares Ensemble Stacking. 2026 International Conference on Sensor-Cloud and Edge Computing System. [EI Conf]
- W. Duan, Q. Zhang, Y. Shao & F. Xue. (2026). Machine Learning-Based Toxicity Prediction of Industrial Chemicals Using Tox21 Database: Toward Applications in Epichlorohydrin, Acrylonitrile, and Styrene-Based Polymers. 2026 9th International Conference on Advanced Algorithms and Control. [EI Conf]
- Y. Shao, X. Zhuang, X. Fei, Y. Huang, J. Yu & X. Zhang. (2025). CO2 separation performance of corn stalk biochar-doped Pebax 1657 mixed matrix membranes. Open Journal of Natural Science, 13(2), 329-337. [Core Journal]
- X. Zhuang, Y. Shao, S. Zhang, Y. Tao, Z. Jiang, Y. Chen, Y. Huang & C. Cao. (2026). Microbial pretreatment and microwave pyrolysis enhance CO2 adsorption performance of bamboo biochar. Advances in Environmental Protection, 16, 304. [Core Journal]
- X. Zhuang, Y. Chen, Y. Shao, S. Zhang, Z. Jiang, Y. Zhu & C. Cao. (2026). Effect of microbial treatment time on CO2 adsorption performance of biochar. International Journal of Ecology, 15, 9. [Core Journal]
- Y. Gao, Y. Sun, R. Ge, Y. Shao, Y. Chen & J. Wei. (2025). Impact of digital transformation on the sustainability innovation effect of the emergency industry: Evidence from A-share listed companies. Sustainable Development, 15, 151. [Core Journal]
- Y. Shao, X. Fei, Y. Huang, X. Zhuang, J. Yu & X. Zhang. (2025). CO2 separation performance of mixed matrix membranes enhanced by microporous biochar. Sustainable Energy, 15(1), 1-8. [Journal]
- Y. Shao & B. Zhang. (2025). The Accountability Paradox: How Generative AI Challenges Our Notions of Responsibility. ICCK Transactions on Emerging Topics in Artificial Intelligence, 2(3), 169-172. [Journal]
- Y. Luo, Y. Shao, B. Zhang, K. Liu, S. Liu, Z. Yuan & S. Sang. (2025). Forecasting China's Nuclear Power Generation to 2030: An ARIMA Model-Based Trend Analysis. Engineering Frontiers, 1(1), 3. [Journal]
- J. Yu, X. Zhuang, Y. Shao, T. Wang, W. Xiang & X. Zhang. (2025). Enhanced CO2 adsorption characteristics of distiller's grains biochar by anaerobic fermentation. Bioprocess, 15, 92. [Journal]

