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EM-T2BMC Public Health2026Machine learning–driven identification of whole-food dietary patterns associated with anxiety and rheumatoid arthritis comorbidity patterns: evidence from the NHANES and the USDA MyPyramid Equivalents databaseZhenggang Xiong, Wei Yan, Yuzhen Ma被引 0阅读 1公共卫生、环境与职业健康金融风险与机器学习
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A1Journal of Management StudiesFT50202058(2): 597-601A Few Implications of the COVID‐19 Pandemic for International Business Strategy ResearchAlain C. Verbeke, Wenlong Yuan被引 75阅读 2高影响力 前 10%战略与管理应急治理与韧性政策
EM-T1Journal of Flood Risk Management201710(3): 281-282Nature‐based solutions in flood risk management – Buzzword or innovation?Jochen Schanze被引 55阅读 2开放获取全球变化洪涝风险与减灾
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EM-WoSExpert Systems with Applications2027333: 133987An interpretable causality- and topology-aware multi-expert system for network flow anomaly detectionYuan Gao, Xuelong Wang, Zhenguo Dong, Yong Zhang 等 5 人被引 0阅读 6开放获取计算机网络与通信
EM-T1Reliability Engineering & System Safety2025261: 111059-111059Surrogate modeling for probability distribution estimation: Uniform or adaptive design?Maijia Su, Ziqi Wang, Oreste S. Bursi, Marco Broccardo被引 17阅读 4高影响力 前 10%基金开放获取统计、概率与不确定性
EM-T1Journal of Flood Risk Management201912(S2)Towards a more systemic understanding of flood risksJochen Schanze, Verena Maleska被引 4阅读 5全球变化复合灾害与灾害链洪涝风险与减灾不确定性优化（随机/鲁棒/DRO/CVaR）应急治理与韧性政策金融风险与机器学习
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