日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials

基于多模态特征融合的机器学习方法预测工程纳米材料引起的慢性损伤

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-025-58016-w
Huang, Yang; Cao, Jiayu; Li, Xuehua; Yang, Qing; Xie, Qianqian; Liu, Xi; Cai, Xiaoming; Chen, Jingwen; Hong, Huixiao; Li, Ruibin
发表日期：2025
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Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme

对SARS-CoV-2木瓜蛋白酶样蛋白酶与配体结合的结构分析揭示了抑制该酶的结构特征

期刊:Molecules
影响因子:4.6
doi:10.3390/molecules30030491
Varghese, Ann; Liu, Jie; Liu, Bailang; Guo, Wenjing; Dong, Fan; Patterson, Tucker A; Hong, Huixiao
SARS-CoV-2
发表日期：2025
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Integrating Molecular Dynamics, Molecular Docking, and Machine Learning for Predicting SARS-CoV-2 Papain-like Protease Binders

整合分子动力学、分子对接和机器学习技术预测SARS-CoV-2木瓜蛋白酶样蛋白酶结合物

期刊:Molecules
影响因子:4.6
doi:10.3390/molecules30142985
Varghese, Ann; Liu, Jie; Patterson, Tucker A; Hong, Huixiao
SARS-CoV-2
发表日期：2025
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women

人工智能驱动的主题建模：比较 LDA 和 BERTopic 在分析女性阿片类药物相关心血管风险方面的应用

期刊:Experimental Biology and Medicine
影响因子:2.7
doi:10.3389/ebm.2025.10389
Ma, Li; Chen, Ru; Ge, Weigong; Rogers, Paul; Lyn-Cook, Beverly; Hong, Huixiao; Tong, Weida; Wu, Ningning; Zou, Wen
发表日期：2025
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Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques

利用机器学习和深度学习技术开发μ阿片受体结合的预测模型

期刊:Experimental Biology and Medicine
影响因子:2.7
doi:10.3389/ebm.2025.10359
Liu, Jie; Li, Jerry; Li, Zoe; Dong, Fan; Guo, Wenjing; Ge, Weigong; Patterson, Tucker A; Hong, Huixiao
信号转导
发表日期：2025
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Pharmacovigilance in the digital age: gaining insight from social media data

数字时代的药物警戒：从社交媒体数据中获取洞见

期刊:Experimental Biology and Medicine
影响因子:2.7
doi:10.3389/ebm.2025.10555
Dong, Fan; Guo, Wenjing; Liu, Jie; Patterson, Tucker A; Hong, Huixiao
发表日期：2025
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Realizing Impact of Artificial Intelligence in Real World Enhances Public Health

认识到人工智能在现实世界中的影响能够提升公共卫生水平

期刊:Experimental Biology and Medicine
影响因子:2.7
doi:10.3389/ebm.2025.10700
Hong, Huixiao; Slikker, William Jr
发表日期：2025
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A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance

一套经过优化的 RxNorm 药物名称集，用于增强药物安全监测中的非结构化数据分析

期刊:Experimental Biology and Medicine
影响因子:2.7
doi:10.3389/ebm.2025.10374
Guo, Wenjing; Dong, Fan; Liu, Jie; Aslam, Aasma; Patterson, Tucker A; Hong, Huixiao
发表日期：2025
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Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals

释放人工智能的潜力：利用机器学习和深度学习模型预测化学物质的致癌性

期刊:Journal of Environmental Science and Health Part C-Toxicology and Carcinogenesis
影响因子:2.3
doi:10.1080/26896583.2024.2396731
Guo, Wenjing; Liu, Jie; Dong, Fan; Hong, Huixiao
肿瘤
肿瘤免疫
发表日期：2025
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Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling

作者更正：Quartet RNA 参考物质通过基于比率的分析提高转录组数据的质量

期刊:Nature Biotechnology
影响因子:41.7
doi:10.1038/s41587-023-02008-y
Yu, Ying; Hou, Wanwan; Liu, Yaqing; Wang, Haiyan; Dong, Lianhua; Mai, Yuanbang; Chen, Qingwang; Li, Zhihui; Sun, Shanyue; Yang, Jingcheng; Cao, Zehui; Zhang, Peipei; Zi, Yi; Liu, Ruimei; Gao, Jian; Zhang, Naixin; Li, Jingjing; Ren, Luyao; Jiang, He; Shang, Jun; Zhu, Sibo; Wang, Xiaolin; Qing, Tao; Bao, Ding; Li, Bingying; Li, Bin; Suo, Chen; Pi, Yan; Wang, Xia; Dai, Fangping; Scherer, Andreas; Mattila, Pirkko; Han, Jinxiong; Zhang, Lijun; Jiang, Hui; Thierry-Mieg, Danielle; Thierry-Mieg, Jean; Xiao, Wenming; Hong, Huixiao; Tong, Weida; Wang, Jing; Li, Jinming; Fang, Xiang; Jin, Li; Xu, Joshua; Qian, Feng; Zhang, Rui; Shi, Leming; Zheng, Yuanting
发表日期：2024
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