W. Wu
W. Wu publishes mostly in Nuclear and High Energy Physics, on topics such as Particle Detector Development and Performance, Particle physics theoretical and experimental studies and Dark Matter and Cosmic Phenomena.
- World rank
- #244,493 of 1,633,909 ranked researchers
- Rank in France
- #13,129 of 96,116
- Works
- 17
- Citations
- 168
- Citations per work
- 9.9
What does W. Wu research?
- 1Nuclear and High Energy Physics100% of their works
Research topics
Which keywords describe W. Wu's research?
The keywords of their largest research topics: Dark Matter, Particle Physics, Cosmic Rays, Neutrinos, Axions, Higgs Boson, High-Energy Collider and Particle Detectors.
- Quark-Gluon Plasma
- Neutrino Oscillations
- High-Energy Astrophysics
- WIMPs
- Particle Detectors
- Higgs Boson
- Neutrinos
- Particle Physics
- Dark Matter
- Cosmic Rays
- Axions
- High-Energy Collider
- Silicon Detectors
- Heavy-Ion Collisions
- Neutrino Flavor Transformation
- Particle Acceleration
Size is their works in the topics tagged with each word, from their 6 largest topics. Each links to the topic it comes from most.
All 16 words, with their numbers
- Dark Matter42 topics
- Particle Physics42 topics
- Cosmic Rays32 topics
- Neutrinos32 topics
- Axions21 topic
- Higgs Boson21 topic
- High-Energy Collider21 topic
- Particle Detectors21 topic
- Silicon Detectors21 topic
- WIMPs21 topic
- Heavy-Ion Collisions11 topic
- High-Energy Astrophysics11 topic
- Neutrino Flavor Transformation11 topic
- Neutrino Oscillations11 topic
- Particle Acceleration11 topic
- Quark-Gluon Plasma11 topic
Where does W. Wu work?
W. Wu's main affiliation in the publication record is Laboratoire d’Annecy de Physique des Particules, France.
How many publications and citations does W. Wu have?
Science Explorer counts 17 works and 168 citations for W. Wu, ranking #244,493 of 1,633,909 researchers worldwide on the composite 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 W. Wu
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