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Researcher · TCL (China) · China

Lan Ma

Lan Ma publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science, on topics such as Topic Modeling, Multimodal Machine Learning Applications and Innovative Teaching and Learning Methods.

ORCID 0000-0003-3085-1466 OpenAlex
World rank
#4,929,803
of 7,710,434 ranked researchers
Rank in China
#738,871
of 978,568
Works
49
Citations
131
Citations per work
2.7
h-index
6
i10-index 3Top 78% in Computer Vision and Pattern Recognition
Lan Ma

What does Lan Ma research?

Lan Ma's work is mostly in Computer Science (24%), Social Sciences (7%), Economics, Econometrics and Finance (6%).

Everything else: 27 works · 54.4% of their workPhysical Sciences: 12 works · 24.1% of their workComputer Science: 12 works · 24.1% of their workComputer Vision and Pattern Recognition: 7 works · 13.8% of their workArtificial Intelligence: 5 works · 10.3% of their workSocial Sciences: 8 works · 17.2% of their workSocial Sciences: 3 works · 6.9% of their workSociology and Political Science: 3 works · 6.9% of their workEconomics, Econometrics and Finance: 3 works · 6.0% of their workEconomics and Econometrics: 3 works · 6.0% of their workArts and Humanities: 2 works · 4.3% of their workLanguage and Linguistics: 2 works · 4.3% of their workHealth Sciences: 2 works · 4.3% of their workMedicine: 2 works · 4.3% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 4.3% of their workTHEIR WORKLan Ma49works
Physical Sciences24%Health Sciences4%Social Sciences17%

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. Everything else2754.4%
    1. Computer Science1224.1%
    1. Social Sciences36.9%
    2. Economics, Econometrics and Finance36.0%
    3. Arts and Humanities24.3%
    1. Medicine24.3%
  1. 1Computer Vision and Pattern Recognition14% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Sociology and Political Science7% of their works
  4. 4Economics and Econometrics6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Language and Linguistics4% of their works

Research topics

Which keywords describe Lan Ma's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Image Captioning, Machine Translation, Metacognition and Self-Regulation.

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 20 words, with their numbers
  1. Deep Learning94 topics
  2. Neural Networks62 topics
  3. Convolutional Neural Networks42 topics
  4. Unsupervised Learning42 topics
  5. Image Captioning31 topic
  6. Machine Translation31 topic
  7. Metacognition31 topic
  8. Self-Regulation31 topic
  9. Visual Question Answering31 topic
  10. Word Representation31 topic
  11. Depth Estimation21 topic
  12. Domain Adaptation21 topic
  13. Electronic Health Records21 topic
  14. Face Recognition21 topic
  15. Facial Landmark Detection21 topic
  16. Healthcare21 topic
  17. Image Denoising21 topic
  18. Sparse Representations21 topic
  19. Stereo Vision21 topic
  20. Transfer Learning21 topic

Where does Lan Ma work?

Lan Ma's main affiliation in the publication record is TCL (China), China.

How many publications and citations does Lan Ma have?

OpenAlex counts 49 works and 131 citations for Lan Ma, an h-index of 6, ranking #4,929,803 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 Lan Ma

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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