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Lingxi Fan

Showing results (1-10 of 11) with videos related to

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BMC Psychology|April 22, 2026
Self-efficacy in AI-assisted L2 academic writing: scale development and validationGuangyuan Yao, Lingxi Fan
Frontiers in Psychology|November 17, 2025
Cognitive load scale for AI-assisted L2 writing: scale development and validationGuangyuan Yao, Lingxi Fan
Plos One|December 31, 2025
An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genresGuangyuan Yao, Lingxi Fan
Frontiers in Artificial Intelligence|June 30, 2026
An interpretable machine learning framework for classifying human and machine translations across genresLingxi Fan, Hongyang Du, Gan Huang
Natural Product Research|April 21, 2026
Advances in fungal ergothioneine: from biosynthesis to AI-driven industrial biomanufacturingYangyang Wu, Lingxi Fan, Ruonan Xu, et al.
Abiotech|April 6, 2026
Engineering high-efficiency mutants of the transposase ISDra2 TnpB via protein-generative models and energy-optimized designFeifei Guan, Yekun Ding, Guoshun Xu, et al.
Journal of Agricultural and Food Chemistry|April 22, 2026
Combinatorial Engineering of the Catalytic Pocket and Structural Stability in 4-Vinylguaiacol Oxygenase for Efficient Vanillin BiosynthesisYujie Feng, Lingxi Fan, Qifeng Wen, et al.
Science Bulletin|October 22, 2023
MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolutionHanqing Liu, Feifei Guan, Tuoyu Liu, et al.
Iscience|September 2, 2025
Rational protein engineering using an omni-directional multipoint mutagenesis generation pipelineLingxi Fan, Hui Wang, Han Gao, et al.
Bioresource Technology|July 3, 2026
A deep learning and generative modeling pipeline for mining and engineering alkaline-stsable xylanasesRuohan Zhang, Yiyang Zhang, Zhonghao Deng, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BMC Psychology|April 22, 2026
Self-efficacy in AI-assisted L2 academic writing: scale development and validationGuangyuan Yao, Lingxi Fan
Frontiers in Psychology|November 17, 2025
Cognitive load scale for AI-assisted L2 writing: scale development and validationGuangyuan Yao, Lingxi Fan
Plos One|December 31, 2025
An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genresGuangyuan Yao, Lingxi Fan
Frontiers in Artificial Intelligence|June 30, 2026
An interpretable machine learning framework for classifying human and machine translations across genresLingxi Fan, Hongyang Du, Gan Huang
Natural Product Research|April 21, 2026
Advances in fungal ergothioneine: from biosynthesis to AI-driven industrial biomanufacturingYangyang Wu, Lingxi Fan, Ruonan Xu, et al.
Abiotech|April 6, 2026
Engineering high-efficiency mutants of the transposase ISDra2 TnpB via protein-generative models and energy-optimized designFeifei Guan, Yekun Ding, Guoshun Xu, et al.
Journal of Agricultural and Food Chemistry|April 22, 2026
Combinatorial Engineering of the Catalytic Pocket and Structural Stability in 4-Vinylguaiacol Oxygenase for Efficient Vanillin BiosynthesisYujie Feng, Lingxi Fan, Qifeng Wen, et al.
Science Bulletin|October 22, 2023
MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolutionHanqing Liu, Feifei Guan, Tuoyu Liu, et al.
Iscience|September 2, 2025
Rational protein engineering using an omni-directional multipoint mutagenesis generation pipelineLingxi Fan, Hui Wang, Han Gao, et al.
Bioresource Technology|July 3, 2026
A deep learning and generative modeling pipeline for mining and engineering alkaline-stsable xylanasesRuohan Zhang, Yiyang Zhang, Zhonghao Deng, et al.
Pageof 2