Xingna Yu

2.1k total citations
63 papers, 1.7k citations indexed

About

Xingna Yu is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Xingna Yu has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Atmospheric Science, 47 papers in Global and Planetary Change and 19 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Xingna Yu's work include Atmospheric chemistry and aerosols (53 papers), Atmospheric aerosols and clouds (40 papers) and Atmospheric Ozone and Climate (29 papers). Xingna Yu is often cited by papers focused on Atmospheric chemistry and aerosols (53 papers), Atmospheric aerosols and clouds (40 papers) and Atmospheric Ozone and Climate (29 papers). Xingna Yu collaborates with scholars based in China, United States and India. Xingna Yu's co-authors include Bin Zhu, Kanike Raghavendra Kumar, Yan Yin, Na Rae Kang, Jia Ma, Junlin An, Rui Lü, Meigen Zhang, Yiwei Diao and Tiantao Cheng and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Environmental Pollution.

In The Last Decade

Xingna Yu

63 papers receiving 1.7k citations

Peers

Countries citing papers authored by Xingna Yu

Since Specialization

Citations

This map shows the geographic impact of Xingna Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xingna Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingna Yu more than expected).

Fields of papers citing papers by Xingna Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xingna Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xingna Yu. The network helps show where Xingna Yu may publish in the future.

Co-authorship network of co-authors of Xingna Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingna Yu. A scholar is included among the top collaborators of Xingna Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xingna Yu. Xingna Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Application of Gaussian Mixture Models for aerosol type analysis in China	Atmospheric Research	Jing Wang, Xingna Yu et al.	2
2	Insights on aerosol properties using two decades-long ground-based remote sensing datasets in Moldova, Eastern Europe	Environmental Pollution	Dipesh Rupakheti, Maheswar Rupakheti et al.	3
3	Characterization of columnar aerosol over a background site in Central Asia	Environmental Pollution	Dipesh Rupakheti, Maheswar Rupakheti et al.	8
4	[Establishment and Spatial Distribution of Anthropogenic Ammonia Emission Inventory in Zhejiang Province].	PubMed	Xingna Yu, Lidong Shen et al.	2
5	High-resolution anthropogenic ammonia emission inventory for the Yangtze River Delta, China	Chemosphere	Xingna Yu, Lidong Shen et al.	38
6	Characterization and source apportionment of aerosol light scattering in a typical polluted city in the Yangtze River Delta, China	Atmospheric chemistry and physics	Dong Chen, Yu Zhao et al.	13
7	Evaluation of particulate matter deposition in the human respiratory tract during winter in Nanjing using size and chemically resolved ambient measurements	Air Quality Atmosphere & Health	Dongyang Nie, Kai Zhang et al.	22
8	Source contributions to poor atmospheric visibility in China	Resources Conservation and Recycling	Xun Li, Lin Huang et al.	25
9	Chemical composition of dew water at a suburban site in Nanjing, China, during the 2016–2017 winter	Atmospheric Environment	Bin Zhu, Xingna Yu et al.	20
10	[Source Apportionment and Mixing State of Single Particles in the Nanjing Jiangbei New Area].	PubMed	Xingna Yu, Zheng Shi et al.	1
11	Aerosol optical properties and the mixing state of black carbon at a background mountainous site in Eastern China	Journal of Environmental Sciences	Liang Yuan, Yan Yin et al.	3
12	Analysis of water vapor effects on aerosol properties and direct radiative forcing in China	The Science of The Total Environment	Jun Zhu, Huizheng Che et al.	18
13	[Hygroscopic Properties and Closure of Aerosol Chemical Composition in Mt. Huang in Summer].	PubMed	Hui Chen, Yanwei Li et al.	1
14	[Aerosol optical properties during different air-pollution episodes over Beijing].	PubMed	Chanzhen Shi, Xingna Yu et al.	1
15	On searching for optimized set of physical parameterization schemes in a multi-physics land surface process model		Xingna Yu, Seon Ki Park et al.	1
16	Aerosol optical properties during the typical haze/fog event in Nanjing	China Environmental Science	Xingna Yu	1
17	[Optical properties of aerosol during haze-fog episodes in Beijing].	PubMed	Xingna Yu, Xinmei Li et al.	10
18	Overview and Major Findings of the Study of Houston Atmospheric Radical Precursors (SHARP) Campaign	AGU Fall Meeting Abstracts	Gary A. Morris, B. L. Lefer et al.	2
19	Ground-based observation of aerosol optical properties in Lanzhou, China	Journal of Environmental Sciences	Xingna Yu, Bin Zhu et al.	18
20	Laboratory simulation of SO2 heterogeneous reactions on hematite surface under different SO2 concentrations	Journal of Environmental Sciences	Tiantao Cheng, Xingna Yu et al.	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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