Science Explorer Back to mapMap
Discussion
Researcher · National Taiwan University · Taiwan

Pu-Yun Kow

Pu-Yun Kow publishes mostly in Environmental Engineering, Global and Planetary Change and Health, Toxicology and Mutagenesis, on topics such as Air Quality Monitoring and Forecasting, Air Quality and Health Impacts and Atmospheric chemistry and aerosols.

ORCID 0000-0001-5718-9316 OpenAlex
World rank
#1,033,458
of 7,710,434 ranked researchers
Rank in Taiwan
#4,962
of 57,035
Works
20
Citations
448
Citations per work
22.4
h-index
11
i10-index 11Top 50% in Environmental Engineering
Pu-Yun Kow

What does Pu-Yun Kow research?

Pu-Yun Kow's work is mostly in Environmental Science (62%), Earth and Planetary Sciences (8%), Agricultural and Biological Sciences (5%).

Physical Sciences: 14 works · 70.0% of their workEnvironmental Science: 12 works · 61.7% of their workEnvironmental Engineering: 5 works · 26.7% of their workGlobal and Planetary Change: 3 works · 15.0% of their workHealth, Toxicology and Mutagenesis: 3 works · 13.3% of their workWater Science and Technology: 1 works · 6.7% of their workEarth and Planetary Sciences: 2 works · 8.3% of their workAtmospheric Science: 2 works · 8.3% of their workEverything else: 5 works · 25.0% of their workLife Sciences: 1 works · 5.0% of their workAgricultural and Biological Sciences: 1 works · 5.0% of their workPlant Science: 1 works · 5.0% of their workTHEIR WORKPu-Yun Kow20works
Life Sciences5%Physical Sciences70%

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. Environmental Science1261.7%
    2. Earth and Planetary Sciences28.3%
  2. Everything else525.0%
    1. Agricultural and Biological Sciences15.0%
  1. 1Environmental Engineering27% of their works
  2. 2Global and Planetary Change15% of their works
  3. 3Health, Toxicology and Mutagenesis13% of their works
  4. 4Atmospheric Science8% of their works
  5. 5Water Science and Technology7% of their works
  6. 6Plant Science5% of their works

Research topics

Which keywords describe Pu-Yun Kow's research?

The keywords of their largest research topics: Particulate Matter, Forecasting, Machine Learning, Climate Change, Air Quality Monitoring, Low-Cost Sensors, Air Pollution and Health Effects.

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 23 words, with their numbers
  1. Particulate Matter172 topics
  2. Forecasting132 topics
  3. Machine Learning132 topics
  4. Climate Change103 topics
  5. Air Quality Monitoring91 topic
  6. Low-Cost Sensors91 topic
  7. Air Pollution81 topic
  8. Health Effects81 topic
  9. Air Quality72 topics
  10. Hydrological Modeling72 topics
  11. Water Resources72 topics
  12. Artificial Neural Networks41 topic
  13. Atmospheric Aerosols41 topic
  14. Black Carbon41 topic
  15. Flood Risk41 topic
  16. Hydrology41 topic
  17. Remote Sensing41 topic
  18. COVID-1931 topic
  19. Functional–Structural Plant Modelling31 topic
  20. Global Hydrology31 topic
  21. Model Evaluation31 topic
  22. Pandemic31 topic
  23. Plant Architecture31 topic

Where does Pu-Yun Kow work?

Pu-Yun Kow's main affiliation in the publication record is National Taiwan University, Taiwan.

How many publications and citations does Pu-Yun Kow have?

OpenAlex counts 20 works and 448 citations for Pu-Yun Kow, an h-index of 11, ranking #1,033,458 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 Pu-Yun Kow. Posts are plain text and can be reported.