Sifan Bi

State Key Laboratory of Pollution Control and Resource Reuse — China

Engineering · Physical Sciences

4h-index78citations19works0.62yr avg
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Research Topics

Catalysis for Biomass Conversion(5), Computational Drug Discovery Methods(4), Spectroscopy and Chemometric Analyses(4), Advanced Chemical Sensor Technologies(4), Chemical Synthesis and Reactions(4)

Publications19 total

Outside Front Cover: Sub‐2 Nm Palladium Phosphide: A Highly Active and Selective Catalyst for the Hydrogenation of Furfural to Furfuryl Alcohol (Angew. Chem. Int. Ed. 45/2025)
Angewandte Chemie International Edition·2025
Outside Front Cover: Sub‐2 Nm Palladium Phosphide: A Highly Active and Selective Catalyst for the Hydrogenation of Furfural to Furfuryl Alcohol (Angew. Chem. 45/2025)
Angewandte Chemie·2025
Sub‐2 Nm Palladium Phosphide: A Highly Active and Selective Catalyst for the Hydrogenation of Furfural to Furfuryl Alcohol
Angewandte Chemie·2025
Sub‐2 Nm Palladium Phosphide: A Highly Active and Selective Catalyst for the Hydrogenation of Furfural to Furfuryl Alcohol
Angewandte Chemie International Edition·2025· 2 cited
Zirconium-grafted mesoporous SiO2 (Zr-SBA-15) as Brønsted acid sites-free catalyst enables selective catalytic transfer hydrogenation of furfural to furfuryl alcohol
Sustainable Chemistry and Pharmacy·2025· 1 cited
Chemical Reaction Spectrum: A Holographic Image for Characterizing Multi-component Chemical Mixtures
2022Open Access
A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning
Frontiers of Environmental Science & Engineering·2021· 29 cited
Direct Quantification of Mixed Organic Acids Based on Spectral Image with Deep Learning
ChemistrySelect·2021· 4 cited
Image learning to accurately identify complex mixture components
The Analyst·2021· 5 cited
Preparation of a modified g-C<sub>3</sub>N<sub>4</sub>catalyst library and realization of a two-dimensional screening reaction
New Journal of Chemistry·2020· 2 cited
Machine learning for total organic carbon analysis of environmental water samples using high-throughput colorimetric sensors
The Analyst·2020· 13 cited
High-Throughput Screening of Multimetal Sulfides-Modified g-C3N4 for Degradation of Organic Contaminations Based on Ink-Jet Printing (IJP) Technology
Catalysis Letters·2019· 4 cited
Machine learning for mixture toxicity analysis based on high-throughput printing technology
Talanta·2019· 16 cited
Machine Learning for Acute Toxicity Prediction Using High-Throughput Enzyme-Reaction Chip
2019Open Access
Machine Learning for Acute Toxicity Prediction Using High-Throughput Enzyme-Reaction Chip
2018Open Access
Machine Learning for Acute Toxicity Prediction Using High-Throughput Enzyme-Reaction Chip
2018Open Access
Chemical Reaction Spectrum
2018Open Access
Chemical Reaction Spectrum
2018Open Access
Machine Learning Promoting Extreme Simplification of Spectroscopy Equipment
arXiv (Cornell University)·2018· 2 citedOpen Access

Frequent Co-authors

Qiannan Duan(14), Jianchao Lee(14), Zhaoyi Xu(11), Yunjin Feng(9), Jiayuan Chen(7), Run Luo(7), Fenli Liu(7), Shourong Zheng(6), Jiayuan Chen(6), Yicai Huang(4), Guodong Ma(4), Shuang Zhou(4), Tao Liu(4), Xuejiao Wu(4), Heyun Fu(4), Xiaolei Qu(4), Ye Wang(4), Can Wang(3), Ruen Luo(3), Ruixing Tian(3)