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

Deep learning-based identification and maturation assessment of the zygomaticomaxillary suture in cone-beam computed tomography images

基于深度学习的锥形束计算机断层扫描图像中颧颌缝的识别和成熟度评估

期刊:Progress in Orthodontics
影响因子:5
doi:10.1186/s40510-026-00614-5
Jin, Zehua; Shan, Yuhua; Feng, Jianxing; Li, Jingtao; Shi, Zhelin; Wu, Haotian; Fan, Xiaochen; Li, Ruomei; Chen, Zhenqi
发表日期：2026
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Machine learning-powered activatable NIR-II fluorescent nanosensor for in vivo monitoring of plant stress responses

基于机器学习的可激活近红外二区荧光纳米传感器用于植物胁迫反应的体内监测

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-025-60182-w
Hu, Hong; Yuan, Hao; Sun, Shengchun; Feng, Jianxing; Shi, Ning; Wang, Zexiang; Liang, Yan; Ying, Yibin; Wang, Yixian
IF
发表日期：2025
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Electron Transfer-Tailored D-Band Center to Boost Nanozyme Catalysis for Interpretable Machine Learning-Empowered Intelligent Biosensing

电子转移定制的D带中心增强纳米酶催化作用，实现可解释的机器学习赋能的智能生物传感

期刊:Advanced Science
影响因子:14.1
doi:10.1002/advs.202505712
Li, Yuechun; Ji, Chenxin; Cui, Zhaowen; Feng, Jianxing; Zhang, Liang; Liu, Sha; Zhang, Wentao; Ji, Yanwei; Shen, Yizhong; Wang, Jianlong
发表日期：2025
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PdMoPtCoNi High Entropy Nanoalloy with d Electron Self-Complementation-Induced Multisite Synergistic Effect for Efficient Nanozyme Catalysis

PdMoPtCoNi高熵纳米合金，其d电子自互补诱导的多位点协同效应可实现高效纳米酶催化

期刊:Advanced Science
影响因子:14.1
doi:10.1002/advs.202406149
Yang, Xuewei; Feng, Jianxing; Li, Yuechun; Zhu, Wenxin; Pan, Yifan; Han, Yaru; Li, Zhonghong; Xie, Haijiao; Wang, Jianlong; Ping, Jianfeng; Tang, Wenzhi
发表日期：2024
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Microenvironment-triggered cascade metal-polyphenolic nanozyme for ROS/NO synergistic hyperglycemic wound healing.

微环境触发级联金属-多酚纳米酶促进ROS/NO协同高血糖伤口愈合

期刊:Redox Biology
影响因子:11.9
doi:10.1016/j.redox.2024.103217
Shi Shuo, Han Yaru, Feng Jianxing, Shi Jingru, Liu Xiaoling, Fu Bangfeng, Wang Jianlong, Zhang Wentao, Duan Jinyou
免疫/内分泌
发表日期：2024
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Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity for Minimizing Radiomics Variability Among Scans of Different Dose Levels

自适应统计迭代重建-V和深度学习图像重建算法对CT放射组学特征鲁棒性的影响：降低不同剂量水平扫描间放射组学变异性的机会

期刊:
影响因子:
doi:10.1007/s10278-023-00901-1
Zhong, Jingyu; Wu, Zhiyuan; Wang, Lingyun; Chen, Yong; Xia, Yihan; Wang, Lan; Li, Jianying; Lu, Wei; Shi, Xiaomeng; Feng, Jianxing; Dong, Haipeng; Zhang, Huan; Yao, Weiwu
发表日期：2024
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Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability

不同成像平台下双能CT虚拟未增强图像和虚拟单能图像放射组学特征的稳健性及CT值变异性的潜在作用

期刊:Insights into Imaging
影响因子:4.5
doi:10.1186/s13244-023-01426-5
Zhong, Jingyu; Pan, Zilai; Chen, Yong; Wang, Lingyun; Xia, Yihan; Wang, Lan; Li, Jianying; Lu, Wei; Shi, Xiaomeng; Feng, Jianxing; Yan, Fuhua; Zhang, Huan; Yao, Weiwu
发表日期：2023
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Robustness of CT radiomics features: consistency within and between single-energy CT and dual-energy CT

CT放射组学特征的稳健性：单能量CT和双能量CT内部及之间的一致性

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-022-08628-3
Chen, Yong; Zhong, Jingyu; Wang, Lan; Shi, Xiaomeng; Lu, Wei; Li, Jianying; Feng, Jianxing; Xia, Yihan; Chang, Rui; Fan, Jing; Chen, Liwei; Zhu, Ying; Yan, Fuhua; Yao, Weiwu; Zhang, Huan
发表日期：2022
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Lycium Barbarum Polysaccharide-Iron (III) Chelate as Peroxidase Mimics for Total Antioxidant Capacity Assay of Fruit and Vegetable Food

枸杞多糖-铁(III)螯合物作为过氧化物酶模拟物用于果蔬食品总抗氧化能力测定

期刊:Foods
影响因子:5.1
doi:10.3390/foods10112800
Shi, Shuo; Feng, Jianxing; Liang, Yanmin; Sun, Hao; Yang, Xuewei; Su, Zehui; Luo, Linpin; Wang, Jianlong; Zhang, Wentao
发表日期：2021
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Deep learning for differentiating novel coronavirus pneumonia and influenza pneumonia

利用深度学习区分新型冠状病毒肺炎和流感肺炎

期刊:Annals of Translational Medicine
影响因子:
doi:10.21037/atm-20-5328
Zhou, Min; Yang, Dexiang; Chen, Yong; Xu, Yanping; Xu, Jin-Fu; Jie, Zhijun; Yao, Weiwu; Jin, Xiaoyan; Pan, Zilai; Tan, Jingwen; Wang, Lan; Xia, Yihan; Zou, Longkuan; Xu, Xin; Wei, Jingqi; Guan, Mingxin; Yan, Fuhua; Feng, Jianxing; Zhang, Huan; Qu, Jieming
肺炎
流感
微生物学
发表日期：2021
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