[1] Q.N. Duan, P.W. Yan, Y.C. Feng, Q.R. Wan, X.L. Zhu, Machine learning assisted heavy metal adsorption performance evaluation of biochar,Frontiers of Environmental Science & Engineering, 2024, 18(5): 55-69.
[2] Z.Q. Guo, F.L. Liu, Q.N. Duan, W.J. Wang, Qianru Wan, Y.C. Huang, Y.T. Zhao, L. Liu, Y.J. Feng, L.B. Xian, H. Gao, Y.W. Long, D. Yao, J.C. Lee, A spectral learning path for simultaneous multi-parameter detection of water quality,Environmental Research, 2023, 216(4):114812-114820.
[3] Q.N. Duan, Z.Y. Xu, S.R. Zheng, J.Y. Chen, Y.J. Feng, L. Run, J.C. Lee, Machine learning based on holographic scattering spectrum for mixed pollutants analysis,Analytica Chimica Acta, 2021, 1143: 298-305.
[4] Q.N. Duan, J.C. Lee, Fast-developing machine learning supports complex system research in environmental chemistry,New Journal of Chemistry, 2020, 44(4): 1179-1184.
[5] Q.N. Duan, J.C. Lee, S.R. Zheng, J.Y. Chen, R. Luo, Y.J. Feng, Z.Y. Xu, A color-spectral machine learning path for analysis of five mixed amino acids,Chemical Communications, 2020, 56(7): 1058-1061.
[6] Q.N. Duan, Y. Hu, S.R. Zheng, J.C. Lee, J.Y. Chen, Sifan Bi, Z.Y. Xu, Machine learning for mixture toxicity analysis based on high-throughput printing technology,Talanta, 2020, 207: 1-8.
2022年中国创新创业大赛（陕西赛区），二等奖
2021年陕西省科技工作者创新创业大赛，二等奖
2021年中国“互联网+”生态环境科技创投大赛，最佳科技创新奖
2023年全国大学生节能减排社会实践与科技竞赛三等奖，指导教师
2022年中国国际“互联网+”大学生创新创业大赛（陕西赛区），铜奖（3项），指导教师
