Science Explorer Back to mapMap
Discussion
Researcher · Xidian University · China

Wei Xia

Wei Xia publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Face and Expression Recognition, Advanced Image and Video Retrieval Techniques and Face recognition and analysis.

ORCID 0000-0001-8988-8381 OpenAlex
World rank
#389,331
of 7,710,434 ranked researchers
Rank in China
#45,659
of 978,568
Works
92
Citations
2.9k
Citations per work
32.0
h-index
26
i10-index 43Top 7.3% in Computer Vision and Pattern Recognition
Wei Xia

What does Wei Xia research?

Wei Xia's work is mostly in Computer Science (67%), Social Sciences (4%), Engineering (3%).

Physical Sciences: 65 works · 70.2% of their workComputer Science: 62 works · 67.2% of their workComputer Vision and Pattern Recognition: 32 works · 35.1% of their workArtificial Intelligence: 19 works · 20.8% of their workInformation Systems: 6 works · 6.0% of their workSignal Processing: 5 works · 5.3% of their workEngineering: 3 works · 3.0% of their workMedia Technology: 3 works · 3.0% of their workEverything else: 24 works · 26.0% of their workSocial Sciences: 3 works · 3.8% of their workSocial Sciences: 3 works · 3.8% of their workUrban Studies: 3 works · 3.8% of their workTHEIR WORKWei Xia92works
Physical Sciences70%Social Sciences4%

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 Science6267.2%
    2. Engineering33.0%
  2. Everything else2426.0%
    1. Social Sciences33.8%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Information Systems6% of their works
  4. 4Signal Processing5% of their works
  5. 5Urban Studies4% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Wei Xia's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Feature Selection, Convolutional Neural Networks, Dimensionality Reduction, Support Vector Machines, Representation Learning and Semi-Supervised 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. 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 22 words, with their numbers
  1. Deep Learning514 topics
  2. Face Recognition382 topics
  3. Feature Selection332 topics
  4. Convolutional Neural Networks272 topics
  5. Dimensionality Reduction231 topic
  6. Support Vector Machines231 topic
  7. Representation Learning182 topics
  8. Semi-Supervised Learning182 topics
  9. Age Estimation151 topic
  10. Facial Landmark Detection151 topic
  11. Feature Matching151 topic
  12. Local Descriptors151 topic
  13. Object Tracking121 topic
  14. Visual Tracking121 topic
  15. Multi-label Learning101 topic
  16. Spatial Network Analysis101 topic
  17. Text Classification101 topic
  18. Urban Structure101 topic
  19. Domain Adaptation91 topic
  20. Graph Neural Networks91 topic
  21. Knowledge Graph Embedding91 topic
  22. Transfer Learning91 topic

Where does Wei Xia work?

Wei Xia's main affiliation in the publication record is Xidian University, China.

How many publications and citations does Wei Xia have?

OpenAlex counts 92 works and 2,947 citations for Wei Xia, an h-index of 26, ranking #389,331 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.

Other researchers named Wei Xia

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 Wei Xia. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.