Science Explorer Back to mapMap
Discussion
Researcher · James Cook University · Australia

Eric Wang

Eric Wang publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, on topics such as Advanced Vision and Imaging, Astronomy and Astrophysical Research and Smart Grid Energy Management.

ORCID 0000-0001-8373-535X OpenAlex
World rank
#3,405,653
of 7,710,434 ranked researchers
Rank in Australia
#89,546
of 140,210
Works
57
Citations
541
Citations per work
9.5
h-index
13
i10-index 15Top 30% in Computer Vision and Pattern Recognition
Eric Wang

What does Eric Wang research?

Eric Wang's work is mostly in Computer Science (24%), Engineering (18%), Physics and Astronomy (10%).

Physical Sciences: 29 works · 51.6% of their workComputer Science: 13 works · 23.5% of their workComputer Vision and Pattern Recognition: 9 works · 15.0% of their workArtificial Intelligence: 5 works · 8.5% of their workEngineering: 10 works · 17.7% of their workElectrical and Electronic Engineering: 7 works · 13.1% of their workControl and Systems Engineering: 3 works · 4.6% of their workPhysics and Astronomy: 6 works · 10.4% of their workAstronomy and Astrophysics: 4 works · 6.5% of their workInstrumentation: 2 works · 3.9% of their workEverything else: 28 works · 48.4% of their workTHEIR WORKEric Wang57works
Physical Sciences52%

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 Science1323.5%
    2. Engineering1017.7%
    3. Physics and Astronomy610.4%
  2. Everything else2848.4%
  1. 1Computer Vision and Pattern Recognition15% of their works
  2. 2Electrical and Electronic Engineering13% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Astronomy and Astrophysics6% of their works
  5. 5Control and Systems Engineering5% of their works
  6. 6Instrumentation4% of their works

Research topics

Which keywords describe Eric Wang's research?

The keywords of their largest research topics: Convolutional Networks, Unsupervised Learning, Deep Learning, Astronomical Instrumentation, Depth Estimation, Spectrograph, Stereo Vision and Demand Response.

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 19 words, with their numbers
  1. Convolutional Networks82 topics
  2. Unsupervised Learning82 topics
  3. Deep Learning62 topics
  4. Astronomical Instrumentation51 topic
  5. Depth Estimation51 topic
  6. Spectrograph51 topic
  7. Stereo Vision51 topic
  8. Demand Response41 topic
  9. Smart Grid41 topic
  10. Solar System Abundances41 topic
  11. Terrestrial Planets41 topic
  12. Contrast Enhancement31 topic
  13. Dehazing31 topic
  14. Domain Adaptation31 topic
  15. Geomagnetic Field31 topic
  16. Image31 topic
  17. Magnetosome Formation31 topic
  18. Super-Resolution31 topic
  19. Transfer Learning31 topic

Where does Eric Wang work?

Eric Wang's main affiliation in the publication record is James Cook University, Australia.

How many publications and citations does Eric Wang have?

OpenAlex counts 57 works and 541 citations for Eric Wang, an h-index of 13, ranking #3,405,653 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 Eric Wang

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 Eric Wang. 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.