Ming Ge

520 citations
40 papers · 376 · h-index 13

Impact in

    • Meteorological Phenomena and Simulations
    • Tropical and Extratropical Cyclones Research
    • Climate variability and models
    • Flood Risk Assessment and Management
    • Atmospheric aerosols and clouds

Papers in

Ming Ge

38 papers receiving 365 citations

Peers

Ming Ge
Comparison fields: 5 of 69
  • Atmospheric Science 216
  • Global and Planetary Change 211
  • Oceanography 63
  • Earth-Surface Processes 26
  • Environmental Engineering 45
Replace Luca Garrè with:
Luca Garrè Norway
Craig M. Smith United States
Francesco Ferrari Italy
Polly J. Smith United Kingdom
Ehouarn Simon France
Πλάτων Πατλάκας Greece
Mitchell Black Australia
Cristina Charlton‐Perez United Kingdom
John Manobianco United States
William Y. Y. Cheng United States
Ming Ge relative to Luca Garrè Norway Luca Garrè's profile →
Citations per field
00.5×1.5×2×2.3×
Luca Garrè · 1×
Citations per year

Countries citing papers authored by Ming Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201641
2 202033
3 201228
4 201425
5 201723
6 202219
7 201717
8 202116
9 202216
10 202215
11 201915
12 201314
13 201014
14 202312
15 202111
16 201611
17 19978
18 20228
19 20228
20 20147

About Ming Ge

Ming Ge is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Control and Systems Engineering and Environmental Engineering, having authored 40 papers that have together received 376 indexed citations. Recurring topics across this work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (13 papers), Tropical and Extratropical Cyclones Research (11 papers), Ocean Waves and Remote Sensing (6 papers), Hydrology and Watershed Management Studies (5 papers), Flood Risk Assessment and Management (4 papers), Control Systems and Identification (4 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Atmospheric Science (216 citations), Global and Planetary Change (211 citations), Oceanography (63 citations), Earth-Surface Processes (26 citations) and Environmental Engineering (45 citations). Ming Ge has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Eric C. Kerrigan, J. Done, Andreas F. Prein, Cindy L. Bruyère, Dié Wang, Scott Giangrande, Greg J. Holland, Erin Towler, Amir Givati and Yuqing Wang. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Frontiers in Psychiatry, Atmospheric Research, Geophysical Research Letters and Journal of Applied Meteorology and Climatology.

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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