Capital Normal University

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合作机构同一篇文章里的其他机构

1. Jilin University中国2
2. National Marine Environmental Forecasting Center中国2
3. Macau University of Science and Technology中国澳门2
4. University of Padua意大利2
5. Chinese Academy of Sciences中国2
6. Beihang University中国2
7. UNESCO法国1
8. Australian National University澳大利亚1

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逐年被引

最新文献

1. 1
   Attribution analysis and threshold identification of land subsidence in the Beijing Plain based on MT-InSAR technology and explainable artificial intelligenceGeomatics, Natural Hazards and Risk20261
2. 2
   Multidimensional analysis of soil metal ecotoxicity and regional ecological risk prediction based on machine learningJournal of Hazardous Materials20260
3. 3
   Geospatial assessment of soil salinity–nutrient stratification and soil health responses to groundwater table dynamics in the Bohai Rim region, ChinaGeomatics, Natural Hazards and Risk20262
4. 4
   Machine-learning models based on biological ligand theory and quantitative ion character-activity relationship for predicting metal plant toxicityJournal of Hazardous Materials20252
5. 5
   Deriving ecological risk thresholds for soil molybdenum in China based on interspecies correlation estimation and quantitative ion character–activity relationship modelsJournal of Hazardous Materials20249
6. 6
   Model-data matching method for natural disaster emergency service scenarios: implementation based on a knowledge graph and community discovery algorithmNatural Hazards202412
7. 7
   Spatial-temporal characteristics and influencing factors of wildfire occurrence and correlation with WUI presence in Beijing-Tianjin-Hebei region, ChinaGeomatics, Natural Hazards and Risk20236
8. 8
   Heat Health Risk and Adaptability Assessments at the Subdistrict Scale in Metropolitan BeijingInternational Journal of Disaster Risk Science202229
9. 9
   A hybrid data-driven method for rapid prediction of lithium-ion battery capacityReliability Engineering & System Safety202261
10. 10
    Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumpingStochastic Environmental Research and Risk Assessment20228

高被引文献

1. 1
   A hybrid approach based on decomposition algorithm and neural network for remaining useful life prediction of lithium-ion batteryReliability Engineering & System Safety2021126
2. 2
   An urban system perspective on urban flood resilience using SEM: evidence from Nanjing city, ChinaNatural Hazards2021108
3. 3
   Evaluation of CHIRPS and its application for drought monitoring over the Haihe River Basin, ChinaNatural Hazards2018107
4. 4
   GIS-based flood risk assessment in suburban areas: a case study of the Fangshan District, BeijingNatural Hazards201793
5. 5
   Multi-models for SPI drought forecasting in the north of Haihe River Basin, ChinaStochastic Environmental Research and Risk Assessment201778
6. 6
   Integrating Entropy‐Based Naïve Bayes and GIS for Spatial Evaluation of Flood HazardRisk Analysis201663
7. 7
   A hybrid data-driven method for rapid prediction of lithium-ion battery capacityReliability Engineering & System Safety202261
8. 8
   Statistic inversion of multi-zone transition probability models for aquifer characterization in alluvial fansStochastic Environmental Research and Risk Assessment201531
9. 9
   Land subsidence due to groundwater pumping: hazard probability assessment through the combination of Bayesian model and fuzzy set theoryNatural Hazards and Earth System Sciences202131
10. 10
    Spatial–temporal evolution patterns of land subsidence with different situation of space utilizationNatural Hazards201529

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