Jia Xing

4.9k citations
49 papers · 2.8k indexed · h-index 25
Topics
Atmospheric chemistry and aerosols (41 papers)Air Quality and Health Impacts (33 papers)Vehicle emissions and performance (14 papers)

In The Last Decade

Jia Xing

46 papers receiving 2.8k citations

Peers

Jia Xing
Comparison fields: 5 of 103
  • Atmospheric Science 2.1k
  • Health, Toxicology and Mutagenesis 1.8k
  • Global and Planetary Change 898
  • Environmental Engineering 748
  • Automotive Engineering 496
Replace Xiao Fu with:
Xiao Fu China
T. Ohara Japan
Kazuyo Yamaji Japan
Kevin Civerolo United States
Minna Aurela Finland
Yang Sun China
Mengmeng Li China
Lingxiao Yang China
Steven D. Kohl United States
Markus Furger Switzerland
Jia Xing relative to Xiao Fu China Xiao Fu's profile →
Citations per field
00.5×1.5×
Xiao Fu · 1×
Citations per year

Countries citing papers authored by Jia Xing

Since Specialization
Citations

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

Fields of papers citing papers by Jia Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Xing. A scholar is included among the top collaborators of Jia Xing 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 Jia Xing. Jia Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 0
4 7
5 8
6 8
7 8
8 72
9 37
10 41
11 36
12 70
13 50
14 70
15
The pathway of aerosol direct effects impact on air quality: a case study by using process analysis
2
16 81
17 149
18 35
19 12
20
Soil acidification in China: Is controlling SO2 emissions enough?
3

About Jia Xing

Jia Xing is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (41 papers), Air Quality and Health Impacts (33 papers) and Vehicle emissions and performance (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.8k citations), Atmospheric Science (2.1k citations) and Environmental Engineering (748 citations). Jia Xing has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shuxiao Wang, Jiming Hao, Heather Simon, Rohit Mathur, Carey Jang, Benjamin B. Wells, N. H. Frank, Adam Reff, Yun Zhu and Christian Hogrefe. Their work appears in journals such as Nature Communications, Environmental Science & Technology and The Science of The Total Environment.

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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