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EM-T1Accident Analysis & Prevention2026238: 108783Geometry-informed Bayesian deep learning for proactive driving risk assessment: a full spatiotemporal probabilistic risk field approachZhenlin Hu, Feng Zhu, Xinyu Ming, Xianghai Meng被引 0基金汽车工程金融风险与机器学习
EM-T2Process Safety and Environmental Protection2026219: 109497A decision-ready framework linking soil-dependent stabilization prediction to iron-based remediation process design for As and Sb-contaminated soils via explainable machine learningRuiyuan Xue, Qingliang Zhao, Liangliang Wei, Miao Jiang 等 9 人被引 0阅读 2污染金融风险与机器学习
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EM-T2Journal of Hazardous Materials2026503: 141200-141200Leveraging machine learning for microplastic detection, global distribution analysis, and managementSheetal Kumari, Prabhat Kumar Patel, Manish Kumar, Hao Yi Cheng被引 10高影响力 前 1%基金污染金融风险与机器学习
EM-T2Journal of Hazardous Materials2025501: 140700-140700Elucidating microplastic adsorption mechanisms in biomass composite materials through interpretable machine learningHuiling Li, Yimin Shi, Junhao Liu, Zhichen Ba 等 8 人被引 6基金污染金融风险与机器学习
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EM-T2Journal of Hazardous Materials2025499: 140047-140047Machine learning-enhanced prediction of size-resolved gas-particle partitioning quotient: Implication for health risk assessment of polycyclic aromatic hydrocarbonsDeqi Wang, Wan-Li Ma, Ru-Peng Wang, Pu-Fei Yang 等 7 人被引 1基金健康、毒理与致突变金融风险与机器学习
EM-T2Journal of Hazardous Materials2025498: 139822-139822Sequential causal machine learning assisted design of biochar for laccase immobilizationYin Lu, Yongkang Wu, Zelin Hou, Wan-Xin Yin 等 6 人被引 2基金分子生物学金融风险与机器学习
EM-T1Stochastic Environmental Research and Risk Assessment202539(7): 3123-3146Enhancing flood susceptibility predictions by using certainty factor in non-flood selection: a case study of Guangdong Province with four tree-based machine learning modelsJian Ming Yang, Sixiao Chen, Zhongdong Duan, Yanan Tang 等 5 人被引 5基金全球变化洪涝风险与减灾金融风险与机器学习
A+Production and Operations ManagementUTD24FT50202534(11): 3416-3437The Impact of Verbal and Visual Content on Consumer Engagement in Social Media MarketingLei Liu, Yingfei Wang, Zhen Fang, Shaohui Wu被引 15高影响力 前 1%基金开放获取社会学与政治学金融风险与机器学习
A+INFORMS Journal on ComputingUTD24202538(2): 625-644Two-Stage Dynamic Fusion Framework for Multimodal Classification TasksShoumeng Ge, Ying Hao Chen被引 1阅读 1计算机视觉与模式识别金融风险与机器学习
EM-T2Journal of Hazardous Materials2025494: 138697-138697Prediction of trihalomethane occurrence and cancer risk using interpretable machine learning and virtual data augmentationZhaopeng Li, Wencheng Ma, Yu Ouyang, Pengyuan Cheng 等 5 人被引 7高影响力 前 10%基金开放获取健康、毒理与致突变金融风险与机器学习
EM-T2Journal of Hazardous Materials2025492: 138048-138048A framework predicting removal efficacy of antibiotic resistance genes during disinfection processes with machine learningRuixing Huang, Chengxue Ma, Xiaoliu Huangfu, Jun Ma被引 8基金污染金融风险与机器学习
EM-T1International Journal of Disaster Risk Science202416(4): 652-668A City-Level Integrated Case Base Design for Systemic Disaster Risk ManagementFeng Yu, Yao Chen, Chaoxiong Dengzheng, Qing Deng 等 5 人被引 3基金开放获取社会学与政治学金融风险与机器学习
EM-T1International Journal of Disaster Risk Reduction2024114: 104955-104955A tropical cyclone risk prediction framework using flood susceptibility and tree-based machine learning models: County-level direct economic loss prediction in Guangdong ProvinceJian Ming Yang, Sixiao Chen, Yanan Tang, Ping Lu 等 7 人被引 11大气科学洪涝风险与减灾金融风险与机器学习
EM-T1Reliability Engineering & System Safety2024252: 110385-110385A hybrid physics-informed machine learning approach for time-dependent reliability assessment of electromagnetic relaysFabin Mei, Hao Chen, Wenying Yang, Guofu Zhai被引 20高影响力 前 10%基金安全、风险、可靠性与质量金融风险与机器学习
EM-T2Journal of Hazardous Materials2024477: 135291-135291Unveiling the fate of metal leaching in bimetal-catalyzed Fenton-like systems: pivotal role of aqueous matrices and machine learning predictionWenrui Jia, Ying Li, Chuchu Chen, Yaohua Wu 等 10 人被引 27高影响力 前 10%基金水科学与技术金融风险与机器学习
EM-T1International Journal of Disaster Risk Reduction2024111: 104687-104687Real-time seismic damage simulation for urban building portfolio based on basic building information and machine learningShuang Li, Changqing Li, Changqing Li, Yuwen Huang 等 5 人被引 27高影响力 前 10%基金开放获取土木与结构工程金融风险与机器学习
EM-T2Journal of Hazardous Materials2024474: 134814-134814Automated identification of pesticide mixtures via machine learning analysis of TLC-SERS spectraGuoqiang Fang, Wuliji Hasi, Xiang Lin, Siqingaowa Han被引 60高影响力 前 10%基金电子、光学与磁性材料金融风险与机器学习
