Ming Ma

1.4k citations
69 papers · 1.1k · h-index 17

Impact in

Papers in

Ming Ma

62 papers receiving 1.0k citations

Peers

Ming Ma
Comparison fields: 5 of 96
  • Astronomy and Astrophysics 363
  • Global and Planetary Change 295
  • Artificial Intelligence 291
  • Renewable Energy, Sustainability and the Environment 130
  • Computer Vision and Pattern Recognition 145
Replace Maria Kaselimi with:
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Yongqing Wang China
Enhai Liu China
Tatyana V. Bandos Spain
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Citations per field
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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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014147
2 2019102
3 201076
4 201564
5 202063
6 201848
7 201841
8 200337
9 200934
10 201528
11 199528
12 200827
13 202221
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, Computer Vision and Pattern Recognition, Global and Planetary Change, Electrical and Electronic Engineering and Artificial Intelligence, having authored 69 papers that have together received 1.1k 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), Human Pose and Action Recognition (5 papers), Solar Radiation and Photovoltaics (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Astronomy and Astrophysics (363 citations), Global and Planetary Change (295 citations), Artificial Intelligence (291 citations), Renewable Energy, Sustainability and the Environment (130 citations) and Computer Vision and Pattern Recognition (145 citations). Ming Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shuai Liu, Baoyou Zhu, Weina Fu, Jiantao Zhou, Liqiang He, Yutong Han, Honglu Zhu, Hai Zhou, Yijun Zhang and Qing Meng. Their work appears in journals such as Multimedia Tools and Applications, Journal of Atmospheric and Solar-Terrestrial Physics, Atmospheric Research, Remote Sensing and IEEE Access.

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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