Xing Yan

4.9k citations
112 papers · 2.5k · h-index 31

Impact in

Papers in

Xing Yan

108 papers receiving 2.5k citations

Peers

Xing Yan
Comparison fields: 5 of 125
  • Atmospheric Science 868
  • Health, Toxicology and Mutagenesis 540
  • Global and Planetary Change 828
  • Environmental Engineering 513
  • Plant Science 768
Replace Abhijit Sarkar with:
Abhijit Sarkar India
Jeanine M. Davis United States
Stephen M. Griffith United States
Di Tian United States
Shah Md. Asraful Islam South Korea
Satoshi Matsumoto Japan
Zhuo Wang China
Bing Liu China
Simonetta Giordano Italy
Xing Yan relative to Abhijit Sarkar India Abhijit Sarkar's profile →
Citations per field
00.5×1.5×1.9×
Abhijit Sarkar · 1×
Citations per year

Countries citing papers authored by Xing Yan

Since Specialization
Citations

This map shows the geographic impact of Xing Yan'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 Xing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Yan more than expected).

Fields of papers citing papers by Xing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing Yan. 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 Xing Yan. The network helps show where Xing Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Xing Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xing Yan Line = papers co-authored together Xing Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 2011107
3 201295
4 202093
5 201592
6 202180
7 201880
8 201968
9 201360
10 201855
11 202152
12 202048
13 202248
14 202048
15 201948
16 201446
17 201946
18 202145
19 201841
20 201241

About Xing Yan

Xing Yan is a scholar working on Atmospheric Science, Global and Planetary Change, Plant Science, Environmental Engineering and Health, Toxicology and Mutagenesis, having authored 112 papers that have together received 2.5k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (43 papers), Atmospheric aerosols and clouds (35 papers), Air Quality and Health Impacts (15 papers), Atmospheric Ozone and Climate (14 papers), Air Quality Monitoring and Forecasting (13 papers), Plant Stress Responses and Tolerance (8 papers), Plant Molecular Biology Research (7 papers) and Remote Sensing in Agriculture (7 papers). The work is most often cited by research in Atmospheric Science (868 citations), Health, Toxicology and Mutagenesis (540 citations), Global and Planetary Change (828 citations), Environmental Engineering (513 citations) and Plant Science (768 citations). Xing Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenzhong Shi, Zhanqing Li, Zhou Zang, Nana Luo, Wenji Zhao, Yize Jiang, Xingchuan Yang, Chuanfeng Zhao, Wenji Zhao and Wujun Ma. Their work appears in journals such as Atmospheric Environment, Environmental Pollution, Remote Sensing of Environment, Journal of Proteomics and Environmental Science & Technology.

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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