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Researcher · Nankai University · China

Ming‐Ming Cheng

Ming‐Ming Cheng publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications and Visual Attention and Saliency Detection.

ORCID 0000-0001-5550-8758 OpenAlex
World rank
#1,342
of 7,710,434 ranked researchers
Rank in China
#62
of 978,568
Works
438
Citations
54k
Citations per work
123.3
h-index
99
i10-index 232Top 0.1% in Computer Vision and Pattern Recognition
Ming‐Ming Cheng

What does Ming‐Ming Cheng research?

Ming‐Ming Cheng's work is mostly in Computer Science (74%), Engineering (7%), Neuroscience (2%).

Physical Sciences: 354 works · 80.9% of their workComputer Science: 324 works · 74.0% of their workComputer Vision and Pattern Recognition: 266 works · 60.8% of their workArtificial Intelligence: 58 works · 13.2% of their workEngineering: 30 works · 6.9% of their workAerospace Engineering: 11 works · 2.6% of their workIndustrial and Manufacturing Engineering: 10 works · 2.2% of their workMedia Technology: 9 works · 2.1% of their workEverything else: 74 works · 16.9% of their workLife Sciences: 10 works · 2.2% of their workNeuroscience: 10 works · 2.2% of their workCognitive Neuroscience: 10 works · 2.2% of their workTHEIR WORKMing‐Ming Cheng438works
Life Sciences2%Physical Sciences81%

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 Science32474.0%
    2. Engineering306.9%
  2. Everything else7416.9%
    1. Neuroscience102.2%
  1. 1Computer Vision and Pattern Recognition61% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Aerospace Engineering3% of their works
  4. 4Cognitive Neuroscience2% of their works
  5. 5Industrial and Manufacturing Engineering2% of their works
  6. 6Media Technology2% of their works

Research topics

Which keywords describe Ming‐Ming Cheng's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Unsupervised Learning, Feature Matching, Local Descriptors, Convolutional Neural Networks, Image Recognition and Representation Learning.

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 Learning4956 topics
  2. Neural Networks2274 topics
  3. Unsupervised Learning1703 topics
  4. Feature Matching1421 topic
  5. Local Descriptors1421 topic
  6. Convolutional Neural Networks1261 topic
  7. Image Recognition1261 topic
  8. Representation Learning1132 topics
  9. Saliency Detection1031 topic
  10. Visual Attention1031 topic
  11. Convolutional Networks872 topics
  12. Domain Adaptation801 topic
  13. Transfer Learning801 topic
  14. Generative Adversarial Networks632 topics
  15. Image Captioning611 topic
  16. Visual Question Answering611 topic
  17. Depth Estimation571 topic
  18. Stereo Vision571 topic
  19. Image Inpainting331 topic
  20. Image Synthesis331 topic
  21. Image301 topic
  22. Super-Resolution301 topic

Where does Ming‐Ming Cheng work?

Ming‐Ming Cheng's main affiliation in the publication record is Nankai University, China.

How many publications and citations does Ming‐Ming Cheng have?

OpenAlex counts 438 works and 53,984 citations for Ming‐Ming Cheng, an h-index of 99, ranking #1,342 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.

Other researchers named Ming‐Ming Cheng

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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