Xiaolin Wei

1.4k citations
17 papers · 1.1k · h-index 13

Impact in

Papers in

    • Atmospheric chemistry and aerosols 11
    • Atmospheric Ozone and Climate 6
    • Meteorological Phenomena and Simulations 3
    • Precipitation Measurement and Analysis 2
    • Climate variability and models 5
    • Atmospheric aerosols and clouds 4

Xiaolin Wei

17 papers receiving 1.1k citations

Peers

Xiaolin Wei
Comparison fields: 5 of 66
  • Atmospheric Science 994
  • Health, Toxicology and Mutagenesis 571
  • Global and Planetary Change 536
  • Environmental Engineering 222
  • Automotive Engineering 100
Replace X. C. Zhang with:
X. C. Zhang China
José Agustín García-Reynoso Mexico
Paolo Tuccella Italy
Sergio Alvarez United States
A. R. Metcalf United States
Lu Hu United States
Sabine Darras France
Michael Pikridas Cyprus
Lubna Dada Finland
Xiaolin Wei relative to X. C. Zhang China X. C. Zhang's profile →
Citations per field
00.5×1.5×
X. C. Zhang · 1×
Citations per year

Countries citing papers authored by Xiaolin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaolin Wei, 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 Xiaolin Wei Line = papers co-authored together Xiaolin Wei links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009343
2 2013272
3 2009120
4 201863
5 200760
6 202051
7 200947
8 201630
9 201228
10 201822
11 201220
12 200915
13 202013
14 20197
15 20186
16 20244
17
Novel and Conserved Micrornas in Dalian Purple Urchin (Strongylocentrotus Nudus) Identified by Next Generation Sequencing
20111

About Xiaolin Wei

Xiaolin Wei is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and Oceanography, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (11 papers), Atmospheric Ozone and Climate (6 papers), Air Quality and Health Impacts (5 papers), Climate variability and models (5 papers), Atmospheric aerosols and clouds (4 papers), Meteorological Phenomena and Simulations (3 papers), Wind and Air Flow Studies (2 papers) and Precipitation Measurement and Analysis (2 papers). The work is most often cited by research in Atmospheric Science (994 citations), Health, Toxicology and Mutagenesis (571 citations), Global and Planetary Change (536 citations), Environmental Engineering (222 citations) and Automotive Engineering (100 citations). Xiaolin Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tao Wang, Aijun Ding, K. S. Lam, C. N. Poon, M. Anson, Y. S. Li, Haiming Liu, Wei Nie, Jianning Sun and Congbin Fu. Their work appears in journals such as Atmospheric chemistry and physics, Atmospheric Environment, Journal of Geophysical Research Atmospheres, Atmospheric Research and Weather and Forecasting.

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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