Yan C - Search Results

1

Comparative metabolic responses and adaptive strategies of wheat (Triticum aestivum) to salt and alkali stress.

Guo R, Yang Z, Li F, Yan C, Zhong X, Liu Q, Xia X, Li H, Zhao L. Guo R, et al. Among authors: yan c. BMC Plant Biol. 2015 Jul 7;15:170. doi: 10.1186/s12870-015-0546-x. BMC Plant Biol. 2015. PMID: 26149720 Free PMC article.

2

Comparison of Ionomic and Metabolites Response under Alkali Stress in Old and Young Leaves of Cotton (Gossypium hirsutum L.) Seedlings.

Guo R, Shi L, Yang C, Yan C, Zhong X, Liu Q, Xia X, Li H. Guo R, et al. Among authors: yan c. Front Plant Sci. 2016 Nov 25;7:1785. doi: 10.3389/fpls.2016.01785. eCollection 2016. Front Plant Sci. 2016. PMID: 27933088 Free PMC article.

3

Ionomic and metabolic responses to neutral salt or alkaline salt stresses in maize (Zea mays L.) seedlings.

Guo R, Shi L, Yan C, Zhong X, Gu F, Liu Q, Xia X, Li H. Guo R, et al. Among authors: yan c. BMC Plant Biol. 2017 Feb 10;17(1):41. doi: 10.1186/s12870-017-0994-6. BMC Plant Biol. 2017. PMID: 28187710 Free PMC article.

4

Effects of climate warming on net primary productivity in China during 1961-2010.

Gu F, Zhang Y, Huang M, Tao B, Guo R, Yan C. Gu F, et al. Among authors: yan c. Ecol Evol. 2017 Jul 22;7(17):6736-6746. doi: 10.1002/ece3.3029. eCollection 2017 Sep. Ecol Evol. 2017. PMID: 28904755 Free PMC article.

5

Spatial-temporal variations of carbon storage and carbon sequestration rate in China's national forest parks.

Li W, Huang M, Zhang YD, Gu FX, Gong H, Guo R, Zhong XL, Yan CR. Li W, et al. Ying Yong Sheng Tai Xue Bao. 2021 Mar;32(3):799-809. doi: 10.13287/j.1001-9332.202103.015. Ying Yong Sheng Tai Xue Bao. 2021. PMID: 33754544 English.

6

Climate-induced increase in terrestrial carbon storage in the Yangtze River Economic Belt.

Gu F, Zhang Y, Huang M, Yu L, Yan H, Guo R, Zhang L, Zhong X, Yan C. Gu F, et al. Among authors: yan h, yan c. Ecol Evol. 2021 Jun 4;11(12):7211-7225. doi: 10.1002/ece3.7414. eCollection 2021 Jun. Ecol Evol. 2021. PMID: 34188807 Free PMC article.

7

Microplastics are overestimated due to poor quality control of reagents.

Bai R, Fan R, Xie C, Liu Q, Liu Q, Yan C, Cui J, He W. Bai R, et al. Among authors: yan c. J Hazard Mater. 2023 Oct 5;459:132068. doi: 10.1016/j.jhazmat.2023.132068. Epub 2023 Jul 16. J Hazard Mater. 2023. PMID: 37494798

8

The characteristics and influencing factors of farmland soil microplastic in Hetao Irrigation District, China.

Bai R, Liu H, Cui J, Wu Y, Guo X, Liu Q, Liu Q, Gao H, Yan C, He W. Bai R, et al. Among authors: yan c. J Hazard Mater. 2024 Mar 5;465:133472. doi: 10.1016/j.jhazmat.2024.133472. Epub 2024 Jan 10. J Hazard Mater. 2024. PMID: 38219587

9

[Overview of the Application of Machine Learning for Identification and Environmental Risk Assessment of Microplastics].

Bai RH, Fan RQ, Liu Q, Liu Q, Yan CR, Cui JX, He WQ. Bai RH, et al. Huan Jing Ke Xue. 2024 Feb 8;45(2):1185-1195. doi: 10.13227/j.hjkx.202302110. Huan Jing Ke Xue. 2024. PMID: 38471955 Chinese.

10

Modeling the temporal evolution of plastic film microplastics in soil using a backpropagation neural network.

Bai R, Wang W, Cui J, Wang Y, Liu Q, Liu Q, Yan C, Zhou M, He W. Bai R, et al. Among authors: yan c. J Hazard Mater. 2024 Dec 5;480:136312. doi: 10.1016/j.jhazmat.2024.136312. Epub 2024 Oct 28. J Hazard Mater. 2024. PMID: 39500196

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