Science Explorer Back to mapMap
Discussion
Researcher · Beijing Institute of Technology · China

Wenguan Wang

Wenguan Wang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, on topics such as Multimodal Machine Learning Applications, Advanced Neural Network Applications and Visual Attention and Saliency Detection.

ORCID 0000-0002-0802-9567 OpenAlex
World rank
#932
of 7,710,434 ranked researchers
Rank in China
#43
of 978,568
Works
274
Citations
20k
Citations per work
74.5
h-index
74
i10-index 155Top 0.3% in Computer Vision and Pattern Recognition
Wenguan Wang

What does Wenguan Wang research?

Wenguan Wang's work is mostly in Computer Science (75%), Engineering (3%), Neuroscience (1%).

Physical Sciences: 215 works · 78.4% of their workComputer Science: 206 works · 75.1% of their workComputer Vision and Pattern Recognition: 156 works · 57.1% of their workArtificial Intelligence: 43 works · 15.8% of their workHuman-Computer Interaction: 6 works · 2.2% of their workEngineering: 9 works · 3.3% of their workElectrical and Electronic Engineering: 5 works · 1.9% of their workComputational Mechanics: 4 works · 1.4% of their workEverything else: 56 works · 20.3% of their workLife Sciences: 4 works · 1.3% of their workNeuroscience: 4 works · 1.3% of their workCognitive Neuroscience: 4 works · 1.3% of their workTHEIR WORKWenguan Wang274works
Life Sciences1%Physical Sciences78%

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 Science20675.1%
    2. Engineering93.3%
  2. Everything else5620.3%
    1. Neuroscience41.3%
  1. 1Computer Vision and Pattern Recognition57% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Human-Computer Interaction2% of their works
  4. 4Electrical and Electronic Engineering2% of their works
  5. 5Computational Mechanics1% of their works
  6. 6Cognitive Neuroscience1% of their works

Research topics

Which keywords describe Wenguan Wang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Image Captioning, Visual Question Answering, Image Recognition, Object Detection and Saliency Detection.

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 19 words, with their numbers
  1. Deep Learning3456 topics
  2. Neural Networks1372 topics
  3. Convolutional Neural Networks1052 topics
  4. Image Captioning781 topic
  5. Visual Question Answering781 topic
  6. Image Recognition721 topic
  7. Object Detection721 topic
  8. Saliency Detection591 topic
  9. Visual Attention591 topic
  10. Feature Matching581 topic
  11. Local Descriptors581 topic
  12. Action Recognition451 topic
  13. Pose Estimation451 topic
  14. Domain Adaptation411 topic
  15. Transfer Learning411 topic
  16. Object Tracking331 topic
  17. Visual Tracking331 topic
  18. Markov Decision Processes171 topic
  19. Spoken Dialogue Systems171 topic

Where does Wenguan Wang work?

Wenguan Wang's main affiliation in the publication record is Beijing Institute of Technology, China.

How many publications and citations does Wenguan Wang have?

OpenAlex counts 274 works and 20,416 citations for Wenguan Wang, an h-index of 74, ranking #932 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.

Discussion

Ask a question or share a note about Wenguan Wang. Posts are plain text and can be reported.