Run Ma

940 citations
21 papers · 551 indexed · h-index 9

Impact in

    • Atmospheric chemistry and aerosols
    • Meteorological Phenomena and Simulations
    • Atmospheric Ozone and Climate
    • Atmospheric aerosols and clouds
    • Climate variability and models
    • Atmospheric and Environmental Gas Dynamics

Papers in

    • Atmospheric aerosols and clouds 16
    • Atmospheric and Environmental Gas Dynamics 4
    • Atmospheric chemistry and aerosols 12
    • Atmospheric Ozone and Climate 5
    • Meteorological Phenomena and Simulations 3
    • Remote Sensing and Land Use 2

Run Ma

17 papers receiving 527 citations

Peers

Run Ma
Comparison fields: 5 of 40
  • Atmospheric Science 366
  • Global and Planetary Change 434
  • Artificial Intelligence 160
  • Environmental Engineering 46
  • Earth-Surface Processes 21
Replace Mayumi Yoshida with:
Mayumi Yoshida Japan
Keith D. Hutchison United States
Francesco Di Paola Italy
Lars Klüser Germany
Nandana Amarasinghe United States
Guido Müller Switzerland
Michele L. Nordeen United States
Robert Höller Austria
K. Dehne Australia
Bu-Yo Kim South Korea
Run Ma relative to Mayumi Yoshida Japan Mayumi Yoshida's profile →
Citations per field
00.5×3.2×
Mayumi Yoshida · 1×
Citations per year

Countries citing papers authored by Run Ma

Since Specialization
Citations

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

Fields of papers citing papers by Run Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019158
2 202195
3 201883
4 202063
5 202342
6 201924
7 201923
8 201920
9 202017
10 20237
11 20214
12 20254
13 20193
14 20243
15 20252
16 20222
17 20251
18 20250
19 20250
20 20230

About Run Ma

Run Ma is a scholar working on Global and Planetary Change, Atmospheric Science, Artificial Intelligence, Environmental Engineering and Ecology, having authored 21 papers that have together received 551 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (16 papers), Atmospheric chemistry and aerosols (12 papers), Atmospheric Ozone and Climate (5 papers), Solar Radiation and Photovoltaics (5 papers), Atmospheric and Environmental Gas Dynamics (4 papers), Meteorological Phenomena and Simulations (3 papers), Remote Sensing and Land Use (2 papers) and Calibration and Measurement Techniques (2 papers). The work is most often cited by research in Atmospheric Science (366 citations), Global and Planetary Change (434 citations), Artificial Intelligence (160 citations), Environmental Engineering (46 citations) and Earth-Surface Processes (21 citations). Run Ma has collaborated with scholars based in China, Japan and France. Frequent co-authors include Husi Letu, Jiancheng Shi, Huazhe Shang, Tianxing Wang, Takashi Y. Nakajima, Liangfu Chen, Kun Yang, Chong Shi, J. Riédi and Hiroshi Ishimoto. Their work appears in journals such as Remote Sensing of Environment, Bulletin of the American Meteorological Society, Scientific Reports, Journal of Quantitative Spectroscopy and Radiative Transfer and Applied Energy.

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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