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Researcher · Mila - Quebec Artificial Intelligence Institute · Canada

Gabriel Tseng

Gabriel Tseng publishes mostly in Ecology, Artificial Intelligence and Geography, Planning and Development, on topics such as Remote Sensing in Agriculture, Geographic Information Systems Studies and Remote-Sensing Image Classification.

OpenAlex
World rank
#3,338,167
of 7,710,434 ranked researchers
Rank in Canada
#106,217
of 183,316
Works
61
Citations
210
Citations per work
3.4
h-index
6
i10-index 5Top 86% in Ecology
Gabriel Tseng

What does Gabriel Tseng research?

Gabriel Tseng's work is mostly in Environmental Science (24%), Computer Science (18%), Social Sciences (12%).

Physical Sciences: 30 works · 48.8% of their workEnvironmental Science: 14 works · 23.7% of their workEcology: 9 works · 14.5% of their workGlobal and Planetary Change: 6 works · 9.2% of their workComputer Science: 11 works · 18.5% of their workArtificial Intelligence: 8 works · 13.2% of their workComputer Vision and Pattern Recognition: 3 works · 5.3% of their workEngineering: 4 works · 6.6% of their workMedia Technology: 4 works · 6.6% of their workEverything else: 24 works · 39.4% of their workSocial Sciences: 7 works · 11.8% of their workSocial Sciences: 7 works · 11.8% of their workGeography, Planning and Development: 7 works · 11.8% of their workTHEIR WORKGabriel Tseng61works
Physical Sciences49%Social Sciences12%

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 Science1423.7%
    2. Computer Science1118.5%
    3. Engineering46.6%
  2. Everything else2439.4%
    1. Social Sciences711.8%
  1. 1Ecology14% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Geography, Planning and Development12% of their works
  4. 4Global and Planetary Change9% of their works
  5. 5Media Technology7% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Gabriel Tseng's research?

The keywords of their largest research topics: Remote Sensing, Phenology, Vegetation Monitoring, Geospatial Crowdsourcing, Volunteered Geographic Information, Deep Learning, Land Use Change and Climate Change.

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 21 words, with their numbers
  1. Remote Sensing162 topics
  2. Phenology111 topic
  3. Vegetation Monitoring111 topic
  4. Geospatial Crowdsourcing91 topic
  5. Volunteered Geographic Information91 topic
  6. Deep Learning82 topics
  7. Land Use Change62 topics
  8. Climate Change52 topics
  9. Hyperspectral51 topic
  10. Image Analysis51 topic
  11. Sustainability52 topics
  12. Domain Adaptation31 topic
  13. Ecosystem Services31 topic
  14. Hydrological Modeling31 topic
  15. Image Captioning31 topic
  16. Transfer Learning31 topic
  17. Urbanization31 topic
  18. Visual Question Answering31 topic
  19. Water Resources31 topic
  20. Adaptation21 topic
  21. Agriculture21 topic

Where does Gabriel Tseng work?

Gabriel Tseng's main affiliation in the publication record is Mila - Quebec Artificial Intelligence Institute, Canada.

How many publications and citations does Gabriel Tseng have?

OpenAlex counts 61 works and 210 citations for Gabriel Tseng, an h-index of 6, ranking #3,338,167 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.

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

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