Qun Du

581 citations
38 papers · 396 · h-index 13

Impact in

Papers in

    • Plant Water Relations and Carbon Dynamics 18
    • Climate variability and models 15
    • Atmospheric aerosols and clouds 4
    • Atmospheric and Environmental Gas Dynamics 4
    • Meteorological Phenomena and Simulations 6
    • Cryospheric studies and observations 3

Qun Du

34 papers receiving 389 citations

Peers

Qun Du
Comparison fields: 5 of 67
  • Global and Planetary Change 248
  • Atmospheric Science 106
  • Water Science and Technology 60
  • Soil Science 36
  • Reproductive Medicine 26
Replace Wantong Wang with:
Wantong Wang China
Shanshan Yu China
Shiwei Liu China
Donghua Pan China
Zachary Hoylman United States
Ni Guo China
Marceau Guérin United States
Agnes Pranindita Sweden
Luigi De Cecco Italy
Patrick Royer United States
Qun Du relative to Wantong Wang China Wantong Wang's profile →
Citations per field
00.5×1.5×2.5×
Wantong Wang · 1×
Citations per year

Countries citing papers authored by Qun Du

Since Specialization
Citations

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

Fields of papers citing papers by Qun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201357
2 201642
3 201931
4 199526
5 199623
6 201823
7 201923
8 201118
9 201315
10 201115
11 201814
12 202314
13 202113
14 201811
15 202310
16 20238
17 20207
18 20227
19 20165
20 20225

About Qun Du

Qun Du is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Management, Monitoring, Policy and Law and Mechanical Engineering, having authored 38 papers that have together received 396 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (18 papers), Climate variability and models (15 papers), Meteorological Phenomena and Simulations (6 papers), Hydrology and Watershed Management Studies (5 papers), Atmospheric aerosols and clouds (4 papers), Atmospheric and Environmental Gas Dynamics (4 papers), Plant responses to elevated CO2 (3 papers) and Cryospheric studies and observations (3 papers). The work is most often cited by research in Global and Planetary Change (248 citations), Atmospheric Science (106 citations), Water Science and Technology (60 citations), Soil Science (36 citations) and Reproductive Medicine (26 citations). Qun Du has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Huizhi Liu, Lei Wang, Zhao‐Yuan Hu, Yang Liu, Jihua Sun, Mingbiao Chen, Ziping Feng, Lei Wang, Wenji Song and Xiangde Xu. Their work appears in journals such as Science China Earth Sciences, Advances in Atmospheric Sciences, International Journal of Biometeorology, Atmospheric and Oceanic Science Letters and Agricultural and Forest Meteorology.

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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