Ming Ge

497 citations
38 papers · 334 · h-index 12

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

34 papers receiving 322 citations

Peers

Ming Ge
Comparison fields: 5 of 70
  • Atmospheric Science 189
  • Global and Planetary Change 195
  • Oceanography 51
  • Earth-Surface Processes 20
  • Environmental Engineering 38
Replace Luca Garrè with:
Luca Garrè Norway
Craig M. Smith United States
Llorenç Lledó Spain
Francesco Ferrari Italy
Cristina Charlton‐Perez United Kingdom
Jaume Ramón Spain
Mitchell Black Australia
Πλάτων Πατλάκας Greece
Cibele Teixeira Pinto United States
Bjarke Tobias Olsen Denmark
Ming Ge relative to Luca Garrè Norway Luca Garrè's profile →
Citations per field
00.5×1.5×2.2×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201640
2 202029
3 201227
4 201423
5 201720
6 202219
7 202116
8 201716
9 202215
10 201014
11 201314
12 202212
13 202111
14 202311
15 201611
16 20228
17 19976
18 20226
19 20146
20 20255

About Ming Ge

Ming Ge is a scholar working on Global and Planetary Change, Atmospheric Science, Control and Systems Engineering, Oceanography and Environmental Engineering, having authored 38 papers that have together received 334 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 (9 papers), Hydrology and Watershed Management Studies (5 papers), Control Systems and Identification (4 papers), Flood Risk Assessment and Management (4 papers), Ocean Waves and Remote Sensing (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Atmospheric Science (189 citations), Global and Planetary Change (195 citations), Oceanography (51 citations), Earth-Surface Processes (20 citations) and Environmental Engineering (38 citations). Ming Ge has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Eric C. Kerrigan, Andreas F. Prein, J. Done, Dié Wang, Cindy L. Bruyère, Scott Giangrande, Amir Givati, Greg J. Holland, Erin Towler and Dorita Rostkier‐Edelstein. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Water Resources Planning and Management, One Earth, Frontiers in Psychiatry and Climate Risk Management.

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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