Li, Jie

Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae

Zhang, W., Li, J., Liu, T., Leng, S., Yang, L., Peng, H., Jiang, S., Zhou, W., Leng, L., & Li, H. (2021) · Bioresource Technology

Thermochemical Biomass Conversion ProcessesBiodiesel Production and Applications

Cited by 188

Modeling phytoremediation of heavy metal contaminated soils through machine learning

Shi, L., Li, J., Palansooriya, K. N., Chen, Y., Hou, D., Meers, E., Tsang, D. C. W., Wang, X., & Ok, Y. S. (2023) · Journal of Hazardous Materials

Heavy metals in environmentHeavy Metal Pollution Remediation

Cited by 152

Spherical vs. planar: Steering the electronic communication between Ru nanoparticle and single atom to boost the electrocatalytic hydrogen evolution activity both in acid and alkaline

Feng, Y., Feng, W., Wan, J., Chen, J., Wang, H., Li, S., Luo, T., Hu, Y., Yuan, C., Cao, L., et al. (2022) · Applied Catalysis B: Environment and Energy

Electrocatalysts for Energy ConversionCO2 Reduction Techniques and Catalysts

Cited by 94