Lee Sangyeon相关文献与解析，生知库 | 链接生命科学的每一步

Hong, Ji Hoon; Lee, Chi-Hoon; Kim, Hyeon Woo; Jeon, Dong Won; Kang, Jun Hyuk; Kim, Yoon-Seo; Bae, Ji-Su; Heo, Seonggil; Lee, Sangyeon; Na, Jooyeong; You, Jaegook; Hong, Soyeon; Cho, Hyunsouk; Park, Jin-Seong; Cho, Sung Beom

发表日期：2026

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All-flexible chronoepifluidic nanoplasmonic patch for label-free metabolite profiling in sweat.

用于汗液中无标记代谢物分析的全柔性时空纳米等离子体贴片

期刊:Nature Communications

影响因子:15.7

doi:10.1038/s41467-025-63510-2

Jeon Jaehun, Lee Sangyeon, Chae Seongok, Lee Joo Hoon, Kim Hanjin, Yu Eun-Sil, Na Hamin, Kang Taejoon, Park Hyung-Soon, Lee Doheon, Jeong Ki-Hun

代谢

发表日期：2025

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Associations between physical activities and self-harm behaviour in depression across the genotype: findings from the UK biobank

英国生物银行的研究结果显示，不同基因型抑郁症患者的身体活动与自残行为之间存在关联：

期刊:Bjpsych Open

影响因子:3.5

doi:10.1192/bjo.2024.845

Jung, Jaegyun; Lee, Sangyeon; Lee, Jeong Ho; Lee, Doheon

Ion Selectivity, Current, and Water Flow Regulation in Ti(3)C(2) MXene Nanopores

Ti(3)C(2) MXene纳米孔中的离子选择性、电流和水流调控

期刊:Nano Letters

影响因子:9.1

doi:10.1021/acs.nanolett.4c01892

Lee, Sangyeon; Go, Su-Gwang; Park, Hyung Gyu; Suk, Myung Eun

信号转导

发表日期：2024

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Correction: A deep learning model for predicting risks of crop pests and diseases from sequential environmental data

更正：一种基于深度学习的作物病虫害风险预测模型，该模型利用序列环境数据进行预测。

期刊:Plant Methods

影响因子:4.4

doi:10.1186/s13007-024-01140-3

Lee, Sangyeon; Yun, Choa Mun

发表日期：2024

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A deep learning model for predicting risks of crop pests and diseases from sequential environmental data

基于深度学习的作物病虫害风险预测模型（数据序列）

期刊:Plant Methods

影响因子:4.4

doi:10.1186/s13007-023-01122-x

Lee, Sangyeon; Yun, Choa Mun

发表日期：2023

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Large-scale prediction of adverse drug reactions-related proteins with network embedding

利用网络嵌入进行大规模药物不良反应相关蛋白预测

期刊:

影响因子:

doi:10.1093/bioinformatics/btac843

Park, Jaesub; Lee, Sangyeon; Kim, Kwansoo; Jung, Jaegyun; Lee, Doheon

发表日期：2023

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Highly Adsorptive Au-TiO(2) Nanocomposites for the SERS Face Mask Allow the Machine-Learning-Based Quantitative Assay of SARS-CoV-2 in Artificial Breath Aerosols

用于SERS口罩的高吸附性Au-TiO(2)纳米复合材料可实现基于机器学习的人工呼吸气溶胶中SARS-CoV-2的定量检测

期刊:ACS Applied Materials & Interfaces

影响因子:8.2

doi:10.1021/acsami.2c16446

Hwang, Charles S H; Lee, Sangyeon; Lee, Sejin; Kim, Hanjin; Kang, Taejoon; Lee, Doheon; Jeong, Ki-Hun

SARS-CoV-2

发表日期：2022

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Detecting 17 fine-grained dental anomalies from panoramic dental radiography using artificial intelligence

利用人工智能从全景牙科X光片中检测出17种细微的牙齿异常

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-022-09083-2

Lee, Sangyeon; Kim, Donghyun; Jeong, Ho-Gul

发表日期：2022

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Imaging natural history museum collections from the bottom up: 3D print technology facilitates imaging of fluid-stored arthropods with flatbed scanners

从底层开始对自然历史博物馆藏品进行成像：3D打印技术助力平板扫描仪对液态保存的节肢动物进行成像

期刊:Zookeys

影响因子:1.3

doi:10.3897/zookeys.795.28416

Mendez, Patina K; Lee, Sangyeon; Venter, Chris E

3D/类器官

发表日期：2018

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AI-driven quantitative review of mobility-stability trade-off in oxide semiconductors

基于人工智能的氧化物半导体迁移率-稳定性权衡定量分析

All-flexible chronoepifluidic nanoplasmonic patch for label-free metabolite profiling in sweat.

用于汗液中无标记代谢物分析的全柔性时空纳米等离子体贴片

Associations between physical activities and self-harm behaviour in depression across the genotype: findings from the UK biobank

英国生物银行的研究结果显示，不同基因型抑郁症患者的身体活动与自残行为之间存在关联：

Ion Selectivity, Current, and Water Flow Regulation in Ti(3)C(2) MXene Nanopores

Ti(3)C(2) MXene纳米孔中的离子选择性、电流和水流调控

Correction: A deep learning model for predicting risks of crop pests and diseases from sequential environmental data

更正：一种基于深度学习的作物病虫害风险预测模型，该模型利用序列环境数据进行预测。

A deep learning model for predicting risks of crop pests and diseases from sequential environmental data

基于深度学习的作物病虫害风险预测模型（数据序列）

Large-scale prediction of adverse drug reactions-related proteins with network embedding

利用网络嵌入进行大规模药物不良反应相关蛋白预测

Highly Adsorptive Au-TiO(2) Nanocomposites for the SERS Face Mask Allow the Machine-Learning-Based Quantitative Assay of SARS-CoV-2 in Artificial Breath Aerosols

用于SERS口罩的高吸附性Au-TiO(2)纳米复合材料可实现基于机器学习的人工呼吸气溶胶中SARS-CoV-2的定量检测

Detecting 17 fine-grained dental anomalies from panoramic dental radiography using artificial intelligence

利用人工智能从全景牙科X光片中检测出17种细微的牙齿异常

Imaging natural history museum collections from the bottom up: 3D print technology facilitates imaging of fluid-stored arthropods with flatbed scanners

从底层开始对自然历史博物馆藏品进行成像：3D打印技术助力平板扫描仪对液态保存的节肢动物进行成像