Di Di

1.5k citations
57 papers · 991 · h-index 16

Impact in

  • Pollution top 5%
    • Microplastics and Plastic Pollution
    • Meteorological Phenomena and Simulations
    • Precipitation Measurement and Analysis

Papers in

    • Meteorological Phenomena and Simulations 25
    • Atmospheric Ozone and Climate 8
    • Precipitation Measurement and Analysis 5
    • Tropical and Extratropical Cyclones Research 5
    • Climate variability and models 19
    • Atmospheric aerosols and clouds 12
    • Atmospheric and Environmental Gas Dynamics 8

Di Di

51 papers receiving 974 citations

Peers

Di Di
Comparison fields: 5 of 114
  • Pollution 294
  • Atmospheric Science 412
  • Industrial and Manufacturing Engineering 194
  • Global and Planetary Change 388
  • Biomaterials 80
Replace Zhixin Qi with:
Zhixin Qi China
Xiaojuan Zhang China
Shuyi Zhang China
Hao Yin China
Krishna Naik India
Qing Dong China
Katharine Ricke United States
Di Di relative to Zhixin Qi China Zhixin Qi's profile →
Citations per field
00.5×5.7×
Zhixin Qi · 1×
Citations per year

Countries citing papers authored by Di Di

Since Specialization
Citations

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

Fields of papers citing papers by Di Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018184
2 2018107
3 201888
4 201973
5 202059
6 202151
7 202146
8 201942
9 201840
10 201625
11 201923
12 201921
13 202019
14 201618
15 201916
16 202115
17 202115
18 202214
19 202013
20 201612

About Di Di

Di Di is a scholar working on Atmospheric Science, Global and Planetary Change, Sociology and Political Science, Aerospace Engineering and Oceanography, having authored 57 papers that have together received 991 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (25 papers), Climate variability and models (19 papers), Atmospheric aerosols and clouds (12 papers), Atmospheric and Environmental Gas Dynamics (8 papers), Atmospheric Ozone and Climate (8 papers), Precipitation Measurement and Analysis (5 papers), Calibration and Measurement Techniques (5 papers) and Tropical and Extratropical Cyclones Research (5 papers). The work is most often cited by research in Pollution (294 citations), Atmospheric Science (412 citations), Industrial and Manufacturing Engineering (194 citations), Global and Planetary Change (388 citations) and Biomaterials (80 citations). Di Di has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jun Li, Randy A. Dahlgren, Hong Huang, Minghua Zhang, Kun Mei, Wei Han, Xu Shang, Zhenfeng Wang, Xiaoqun Xu and Elaine Howard Ecklund. Their work appears in journals such as Remote Sensing, Geophysical Research Letters, Journal of Geophysical Research Atmospheres, Advances in Atmospheric Sciences and IEEE Transactions on Geoscience and Remote Sensing.

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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