Changchun University

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Jilin University中国3
2. Rensselaer Polytechnic Institute美国1
3. Hebei University of Science and Technology中国1
4. Jilin Normal University中国1
5. RMIT University澳大利亚1
6. Northeast Normal University中国1
7. Hefei University of Technology中国1
8. Changchun University of Technology中国1

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最新文献

1. 1
   Low-Cost Kaolinite/g-C₃N₄ Photocatalysts with Enhanced Interfacial Charge Transfer for Sustainable Levofloxacin Removal from WaterProcess Safety and Environmental Protection20260
2. 2
   Intelligent multi-stage resource scheduling method for vehicle coating based on multi-agent proximal policy optimizationComputers & Industrial Engineering20260
3. 3
   A novel Parallel Cooperative Mean-Teacher framework (PCMT) combined with prediction uncertainty guide and class contrastive learning for semi-supervised polyp segmentationExpert Systems with Applications20245
4. 4
   In-situ surface-enhanced Raman scattering based on MTi20 nanoflowers: Monitoring and degradation of contaminantsJournal of Hazardous Materials202163
5. 5
   Translocation of heavy metals from soils into floral organs and rewards of Cucurbita pepo: Implications for plant reproductive fitnessEcotoxicology and Environmental Safety201764
6. 6
   A new effect-based roughness measure for attribute reduction in information systemInformation Sciences201612
7. 7
   Modeling ontology evolution via Pi-CalculusInformation Sciences20167

高被引文献

1. 1
   Translocation of heavy metals from soils into floral organs and rewards of Cucurbita pepo: Implications for plant reproductive fitnessEcotoxicology and Environmental Safety201764
2. 2
   In-situ surface-enhanced Raman scattering based on MTi20 nanoflowers: Monitoring and degradation of contaminantsJournal of Hazardous Materials202163
3. 3
   A new effect-based roughness measure for attribute reduction in information systemInformation Sciences201612
4. 4
   Modeling ontology evolution via Pi-CalculusInformation Sciences20167
5. 5
   A novel Parallel Cooperative Mean-Teacher framework (PCMT) combined with prediction uncertainty guide and class contrastive learning for semi-supervised polyp segmentationExpert Systems with Applications20245

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