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Researcher · Jiangxi University of Water Resources and Electric Power · China

Mingxi Ma

Mingxi Ma publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, on topics such as Image and Signal Denoising Methods, Advanced Image Processing Techniques and Sparse and Compressive Sensing Techniques.

ORCID 0000-0003-2038-2117 OpenAlex
World rank
#6,878,996
of 7,710,434 ranked researchers
Rank in China
#922,831
of 978,568
Works
18
Citations
89
Citations per work
4.9
h-index
6
i10-index 3Top 78% in Computer Vision and Pattern Recognition
Mingxi Ma

What does Mingxi Ma research?

Mingxi Ma's work is mostly in Computer Science (48%), Engineering (26%), Biochemistry, Genetics and Molecular Biology (7%).

Physical Sciences: 13 works · 74.1% of their workComputer Science: 9 works · 48.1% of their workComputer Vision and Pattern Recognition: 9 works · 48.1% of their workEngineering: 5 works · 26.0% of their workComputational Mechanics: 2 works · 13.0% of their workMedia Technology: 2 works · 13.0% of their workEverything else: 2 works · 12.9% of their workLife Sciences: 1 works · 7.4% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 7.4% of their workMolecular Biology: 1 works · 7.4% of their workHealth Sciences: 1 works · 3.7% of their workMedicine: 1 works · 3.7% of their workPulmonary and Respiratory Medicine: 1 works · 3.7% of their workSocial Sciences: 0 works · 1.9% of their workDecision Sciences: 0 works · 1.9% of their workStatistics, Probability and Uncertainty: 0 works · 1.9% of their workTHEIR WORKMingxi Ma18works
Life Sciences7%Physical Sciences74%Health Sciences4%Social Sciences2%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science948.1%
    2. Engineering526.0%
  2. Everything else212.9%
    1. Biochemistry, Genetics and Molecular Biology17.4%
    1. Medicine13.7%
    1. Decision Sciences01.9%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Media Technology13% of their works
  3. 3Computational Mechanics13% of their works
  4. 4Molecular Biology7% of their works
  5. 5Pulmonary and Respiratory Medicine4% of their works
  6. 6Statistics, Probability and Uncertainty2% of their works

Research topics

Which keywords describe Mingxi Ma's research?

The keywords of their largest research topics: Deep Learning, Sparse Representation, Wavelet Transform, Convolutional Networks, Image Denoising, Sparse Representations, Image and Super-Resolution.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 22 words, with their numbers
  1. Deep Learning244 topics
  2. Sparse Representation193 topics
  3. Wavelet Transform142 topics
  4. Convolutional Networks112 topics
  5. Image Denoising101 topic
  6. Sparse Representations101 topic
  7. Image81 topic
  8. Super-Resolution81 topic
  9. Compressed Sensing71 topic
  10. Hyperspectral72 topics
  11. Remote Sensing72 topics
  12. Signal Recovery71 topic
  13. Image Fusion41 topic
  14. Multispectral41 topic
  15. Classification31 topic
  16. Depth Estimation31 topic
  17. Feature Matching31 topic
  18. Image Analysis31 topic
  19. Local Descriptors31 topic
  20. Stereo Vision31 topic
  21. PTPN1121 topic
  22. Protein Tyrosine Phosphatases21 topic

Where does Mingxi Ma work?

Mingxi Ma's main affiliation in the publication record is Jiangxi University of Water Resources and Electric Power, China.

How many publications and citations does Mingxi Ma have?

OpenAlex counts 18 works and 89 citations for Mingxi Ma, an h-index of 6, ranking #6,878,996 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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