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Jingkun Jiang

Showing results (41-50 of 129) with videos related to

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Environment International|February 12, 2026
Atmospheric microplastics in PM<sub>2.5</sub> from 2010 to 2024 in Beijing: Type-specific trends and driving factorsPengju Liu, Guangjie Zheng, Wenchuo Yao, et al.
Environmental Pollution (Barking, Essex : 1987)|July 12, 2014
Decreasing effect and mechanism of FeSO4 seed particles on secondary organic aerosol in α-pinene photooxidationBiwu Chu, Yongchun Liu, Junhua Li, et al.
Toxicology|July 5, 2011
Validation of an LDH assay for assessing nanoparticle toxicityXianglu Han, Robert Gelein, Nancy Corson, et al.
The Science of the Total Environment|November 14, 2021
Evaluation of a cost-effective roadside sensor platform for identifying high emittersYicheng Shen, Qiang Zhang, Dongbin Wang, et al.
Environmental Science & Technology|November 17, 2021
Variations and Sources of Organic Aerosol in Winter Beijing under Markedly Reduced Anthropogenic Activities During COVID-2019Ruolan Hu, Shuxiao Wang, Haotian Zheng, et al.
Journal of Environmental Sciences (China)|December 15, 2022
Suggestion on further strengthening ultra-low emission standards for PM emission from coal-fired power plants in ChinaJianguo Deng, Shumin Wang, Jiawei Zhang, et al.
Environmental Science & Technology|November 19, 2020
Quantifying the Deposition of Airborne Particulate Matter Pollution on Skin Using Elemental MarkersJennifer L L Morgan, Andrei Shauchuk, Jessa L Meyers, et al.
Small (Weinheim an Der Bergstrasse, Germany)|February 16, 2025
Sandwich-Structured ZnO/MXene Heterojunction for Sensitive and Stable Room-Temperature Ammonia SensingDongli Li, Zhan Zhang, Mingze Jiao, et al.
The Science of the Total Environment|August 31, 2019
Nitrate dominates the chemical composition of PM<sub>2.5</sub> during haze event in Beijing, ChinaQingcheng Xu, Shuxiao Wang, Jingkun Jiang, et al.
Small Methods|July 4, 2025
Efficient Configuration Sampling for Hybrid Functional DFT Calculations to Train Machine-Learning Potentials: Application to Atmospheric ChemistrySungwoo Kang, Runlong Cai, Dong Sik Yang, et al.
Pageof 13

Showing results (41-50 of 129) with videos related to

Sort By:
Pageof 13
Environment International|February 12, 2026
Atmospheric microplastics in PM<sub>2.5</sub> from 2010 to 2024 in Beijing: Type-specific trends and driving factorsPengju Liu, Guangjie Zheng, Wenchuo Yao, et al.
Environmental Pollution (Barking, Essex : 1987)|July 12, 2014
Decreasing effect and mechanism of FeSO4 seed particles on secondary organic aerosol in α-pinene photooxidationBiwu Chu, Yongchun Liu, Junhua Li, et al.
Toxicology|July 5, 2011
Validation of an LDH assay for assessing nanoparticle toxicityXianglu Han, Robert Gelein, Nancy Corson, et al.
The Science of the Total Environment|November 14, 2021
Evaluation of a cost-effective roadside sensor platform for identifying high emittersYicheng Shen, Qiang Zhang, Dongbin Wang, et al.
Environmental Science & Technology|November 17, 2021
Variations and Sources of Organic Aerosol in Winter Beijing under Markedly Reduced Anthropogenic Activities During COVID-2019Ruolan Hu, Shuxiao Wang, Haotian Zheng, et al.
Journal of Environmental Sciences (China)|December 15, 2022
Suggestion on further strengthening ultra-low emission standards for PM emission from coal-fired power plants in ChinaJianguo Deng, Shumin Wang, Jiawei Zhang, et al.
Environmental Science & Technology|November 19, 2020
Quantifying the Deposition of Airborne Particulate Matter Pollution on Skin Using Elemental MarkersJennifer L L Morgan, Andrei Shauchuk, Jessa L Meyers, et al.
Small (Weinheim an Der Bergstrasse, Germany)|February 16, 2025
Sandwich-Structured ZnO/MXene Heterojunction for Sensitive and Stable Room-Temperature Ammonia SensingDongli Li, Zhan Zhang, Mingze Jiao, et al.
The Science of the Total Environment|August 31, 2019
Nitrate dominates the chemical composition of PM<sub>2.5</sub> during haze event in Beijing, ChinaQingcheng Xu, Shuxiao Wang, Jingkun Jiang, et al.
Small Methods|July 4, 2025
Efficient Configuration Sampling for Hybrid Functional DFT Calculations to Train Machine-Learning Potentials: Application to Atmospheric ChemistrySungwoo Kang, Runlong Cai, Dong Sik Yang, et al.
Pageof 13