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郑芸芸,李剑超,Rapid High-Throughput Amino Acid Analysis via Data Fusion of Chemical Chips and Image Analytics:Food Analytical Methods,2026.2.4,19:102
秦毅恒,李剑超,Advances and innovations in machine learning-based spectral detection methods for trace organic pollutants:Analyst,2026.2.1,151(2):356–388
王浩宇,李剑超,High-throughput spectral imaging combined with convolutional neural networks for simultaneous quantitative analysis of mixed anionic surfactants in aqueous environments:Analytical Methods,2025.11.15,17:9279–9285
傅致知,李剑超,A novel spectroscopy-deep learning approach for aqueous multi-heavy metal detection:Analytical Methods,2025.5.10,17:1053–1061
姚柳璐,李剑超,An intelligent spectral identification approach for the simultaneous detection of endocrine-disrupting chemicals in aquatic environments:Environmental Research,2025.1.1,264:120368
段倩囡,李剑超,Nationwide meta-analysis of microplastic distribution and risk assessment in China‘s aquatic ecosystems, soils, and sediments:Journal of Hazardous Materials,2024.9.30,477:135331
,lijianchao,段倩囡,吴卫东,周驰,王飞,A novel method for multi-pollutant monitoring in water supply systems using chemical machine vision:Environmental Science and Pollution Research,2024.3.6,31:26555–26566
,lijianchao,段倩囡,Simultaneous quantification of multiple chemical properties of soil solution using smart spectroscopy:Journal of Soils and Sediments,2024.2.28,24:1694–1703
,lijianchao,段倩囡,鲜立博,高航,龙怡文,姚丹,A spectral learning path for simultaneous multi-parameter detection of water quality:Environmental Research,2023.1.10,216:114812
黄溢才,lijianchao,陈佳源,段倩楠,封云金,罗润,王雯静,刘璐,毕思凡,A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning:Frontiers of Environmental Science ＆ Engineering,2022.3.15,16(3):38-47

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