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Researcher · Tulane University · United States

Zhengming Ding

Zhengming Ding publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications and Face and Expression Recognition.

ORCID 0000-0002-6994-5278 OpenAlex
World rank
#50,966
of 7,710,434 ranked researchers
Rank in United States
#19,690
of 1,627,098
Works
263
Citations
9.6k
Citations per work
36.7
h-index
50
i10-index 119Top 1.2% in Computer Vision and Pattern Recognition
Zhengming Ding

What does Zhengming Ding research?

Zhengming Ding's work is mostly in Computer Science (65%), Biochemistry, Genetics and Molecular Biology (6%), Medicine (3%).

Physical Sciences: 177 works · 67.3% of their workComputer Science: 170 works · 64.7% of their workComputer Vision and Pattern Recognition: 88 works · 33.4% of their workArtificial Intelligence: 82 works · 31.3% of their workEngineering: 7 works · 2.6% of their workComputational Mechanics: 7 works · 2.6% of their workEverything else: 63 works · 24.1% of their workLife Sciences: 15 works · 5.6% of their workBiochemistry, Genetics and Molecular Biology: 15 works · 5.6% of their workMolecular Biology: 9 works · 3.4% of their workCancer Research: 6 works · 2.2% of their workHealth Sciences: 8 works · 3.0% of their workMedicine: 8 works · 3.0% of their workRadiology, Nuclear Medicine and Imaging: 8 works · 3.0% of their workTHEIR WORKZhengming Ding263works
Life Sciences6%Physical Sciences67%Health Sciences3%

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 Science17064.7%
    2. Engineering72.6%
  2. Everything else6324.1%
    1. Biochemistry, Genetics and Molecular Biology155.6%
    1. Medicine83.0%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Artificial Intelligence31% of their works
  3. 3Molecular Biology3% of their works
  4. 4Radiology, Nuclear Medicine and Imaging3% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Cancer Research2% of their works

Research topics

Which keywords describe Zhengming Ding's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Domain Adaptation, Transfer Learning, Image Captioning, Visual Question Answering, Face Recognition and Convolutional Neural Networks.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Deep Learning1645 topics
  2. Neural Networks1173 topics
  3. Domain Adaptation1131 topic
  4. Transfer Learning1131 topic
  5. Image Captioning661 topic
  6. Visual Question Answering661 topic
  7. Face Recognition522 topics
  8. Convolutional Neural Networks512 topics
  9. Pose Estimation452 topics
  10. Dimensionality Reduction341 topic
  11. Feature Selection341 topic
  12. Object Tracking331 topic
  13. Visual Tracking331 topic
  14. Extreme Learning Machine311 topic
  15. Feedforward Networks311 topic
  16. Action Recognition271 topic
  17. Spatiotemporal Features271 topic
  18. Anomaly Detection201 topic
  19. Unsupervised201 topic
  20. Age Estimation181 topic
  21. Facial Landmark Detection181 topic

Where does Zhengming Ding work?

Zhengming Ding's main affiliation in the publication record is Tulane University, United States.

How many publications and citations does Zhengming Ding have?

OpenAlex counts 263 works and 9,645 citations for Zhengming Ding, an h-index of 50, ranking #50,966 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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