Danyu Qin

488 citations
28 papers · 338 indexed · h-index 10
Topics
Meteorological Phenomena and Simulations (16 papers)Climate variability and models (10 papers)Tropical and Extratropical Cyclones Research (7 papers)
Partner nations
ChinaChileUnited States

In The Last Decade

Danyu Qin

26 papers receiving 323 citations

Peers

Danyu Qin
Comparison fields: 5 of 48
  • Atmospheric Science 223
  • Global and Planetary Change 194
  • Health, Toxicology and Mutagenesis 42
  • Environmental Engineering 37
  • Oceanography 31
Replace Gabriele Poli with:
Gabriele Poli Germany
Scott Bachmeier United States
Daren Lyu China
Hongqing Wang China
Di Xian China
Marco Rosoldi Italy
Xiaoyong Zhuge China
Run Ma China
Todd Berendes United States
Guangliang Fu Netherlands
Danyu Qin relative to Gabriele Poli Germany Gabriele Poli's profile →
Citations per field
00.5×1.5×2.3×
Gabriele Poli · 1×
Citations per year

Countries citing papers authored by Danyu Qin

Since Specialization
Citations

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

Fields of papers citing papers by Danyu Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyu Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Danyu Qin. A scholar is included among the top collaborators of Danyu Qin 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 Danyu Qin. Danyu Qin 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 0
3 1
4 1
5 11
6 9
7 10
8 8
9 19
10 1
11 5
12 18
13 8
14 15
15 23
16 11
17 7
18
A Case Study of Meso-α-scale Convective System Shape Differences Using Filtering Analysis
1
19
Verification of ERA-40 and NCEP-1 Reanalysis Temperature data with Ground-based Measurements in China
1
20
A Review of Satellite Observed Heavy Rainfall Cloud Clusters
3

About Danyu Qin

Danyu Qin is a scholar working on Atmospheric Science, Global and Planetary Change and Reproductive Medicine, having authored 28 papers that have together received 338 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (10 papers) and Tropical and Extratropical Cyclones Research (7 papers). The work is most often cited by research in Atmospheric Science (223 citations), Global and Planetary Change (194 citations) and Health, Toxicology and Mutagenesis (42 citations). Danyu Qin has collaborated with scholars based in China, Chile and United States. Frequent co-authors include Min Min, Fenglin Sun, Fu Wang, Na Xu, Xi Wang, Bo Li, Zhaojun Zheng, Guangzhen Cao, Chuan Li and Chunqiang Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Health Perspectives and Free Radical Biology and Medicine.

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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