Ming Ma

1.4k citations
62 papers · 1.0k · h-index 17

Impact in

Papers in

Ming Ma

57 papers receiving 975 citations

Peers

Ming Ma
Comparison fields: 5 of 94
  • Astronomy and Astrophysics 361
  • Global and Planetary Change 294
  • Artificial Intelligence 254
  • Renewable Energy, Sustainability and the Environment 128
  • Computer Vision and Pattern Recognition 138
Replace Maria Kaselimi with:
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Ming Ma relative to Maria Kaselimi Greece Maria Kaselimi's profile →
Citations per field
00.5×10×15×20×24.7×
Maria Kaselimi · 1×
Citations per year

Countries citing papers authored by Ming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014114
2 2019101
3 201074
4 202062
5 201560
6 201848
7 201841
8 200337
9 200934
10 201528
11 199527
12 200827
13 202220
14 200819
15 200718
16
Conservation status of the world’s swan populations, Cygnus sp. and Coscoroba sp.: a review of current trends and gaps in knowledge
201917
17 202117
18 202516
19 199616
20 201014

About Ming Ma

Ming Ma is a scholar working on Astronomy and Astrophysics, Global and Planetary Change, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lightning and Electromagnetic Phenomena (26 papers), Fire effects on ecosystems (17 papers), Energy Load and Power Forecasting (6 papers), Ionosphere and magnetosphere dynamics (6 papers), Solar Radiation and Photovoltaics (5 papers), Advanced Data Compression Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Astronomy and Astrophysics (361 citations), Global and Planetary Change (294 citations), Artificial Intelligence (254 citations), Renewable Energy, Sustainability and the Environment (128 citations) and Computer Vision and Pattern Recognition (138 citations). Ming Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Baoyou Zhu, Shuai Liu, Honglu Zhu, Hai Zhou, Yutong Han, Yijun Zhang, Weina Fu, Jiantao Zhou, Qing Meng and Liqiang He. Their work appears in journals such as Multimedia Tools and Applications, Journal of Atmospheric and Solar-Terrestrial Physics, IEEE Access, Atmospheric Research and Journal of Geophysical Research Atmospheres.

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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