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Researcher · Mila - Quebec Artificial Intelligence Institute · Canada

Mélisande Teng

Mélisande Teng publishes mostly in Ecology, Ecological Modeling and Artificial Intelligence, on topics such as Species Distribution and Climate Change, Environmental DNA in Biodiversity Studies and Remote Sensing in Agriculture.

ORCID 0009-0001-6681-0255 OpenAlex
World rank
#4,218,819
of 7,710,434 ranked researchers
Rank in Canada
#129,577
of 183,316
Works
18
Citations
14
Citations per work
0.8
h-index
2
i10-index 0Top 98% in Ecology
Mélisande Teng

What does Mélisande Teng research?

Mélisande Teng's work is mostly in Environmental Science (62%), Computer Science (20%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 15 works · 82.2% of their workEnvironmental Science: 11 works · 62.2% of their workEcology: 6 works · 33.3% of their workEcological Modeling: 4 works · 22.2% of their workGlobal and Planetary Change: 1 works · 6.7% of their workComputer Science: 4 works · 20.0% of their workArtificial Intelligence: 2 works · 11.1% of their workComputer Vision and Pattern Recognition: 2 works · 8.9% of their workEverything else: 2 works · 13.4% of their workLife Sciences: 1 works · 4.4% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.4% of their workDevelopmental Biology: 1 works · 4.4% of their workTHEIR WORKMélisande Teng18works
Life Sciences4%Physical Sciences82%

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 Science1162.2%
    2. Computer Science420.0%
  2. Everything else213.4%
    1. Biochemistry, Genetics and Molecular Biology14.4%
  1. 1Ecology33% of their works
  2. 2Ecological Modeling22% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Global and Planetary Change7% of their works
  6. 6Developmental Biology4% of their works

Research topics

Which keywords describe Mélisande Teng's research?

The keywords of their largest research topics: Climate Change, Species Distribution Modeling, Machine Learning, Biomass Estimation, Environmental DNA, Metabarcoding, Remote Sensing and Vegetation Monitoring.

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 20 words, with their numbers
  1. Climate Change101 topic
  2. Species Distribution Modeling101 topic
  3. Machine Learning92 topics
  4. Biomass Estimation72 topics
  5. Environmental DNA61 topic
  6. Metabarcoding61 topic
  7. Remote Sensing51 topic
  8. Vegetation Monitoring51 topic
  9. Deep Learning42 topics
  10. Neural Networks42 topics
  11. R language41 topic
  12. Statistical Analysis41 topic
  13. Avian Vocal Communication21 topic
  14. Birdsong21 topic
  15. Forest Carbon Stocks21 topic
  16. Generative Adversarial Networks21 topic
  17. Image Captioning21 topic
  18. Image Synthesis21 topic
  19. Lidar Remote Sensing21 topic
  20. Visual Question Answering21 topic

Where does Mélisande Teng work?

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

How many publications and citations does Mélisande Teng have?

OpenAlex counts 18 works and 14 citations for Mélisande Teng, an h-index of 2, ranking #4,218,819 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.

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