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Researcher · University of California, Santa Barbara · United States

Gengchen Mai

Gengchen Mai publishes mostly in Artificial Intelligence, Geography, Planning and Development and Computer Vision and Pattern Recognition, on topics such as Geographic Information Systems Studies, Data Management and Algorithms and Human Mobility and Location-Based Analysis.

ORCID 0000-0002-7818-7309 OpenAlex
World rank
#28,335
of 7,710,434 ranked researchers
Rank in United States
#10,668
of 1,627,098
Works
177
Citations
3.5k
Citations per work
20.0
h-index
31
i10-index 65Top 4.4% in Artificial Intelligence
Gengchen Mai

What does Gengchen Mai research?

Gengchen Mai's work is mostly in Computer Science (37%), Social Sciences (19%), Engineering (4%).

Physical Sciences: 72 works · 40.7% of their workComputer Science: 65 works · 36.7% of their workArtificial Intelligence: 36 works · 20.4% of their workComputer Vision and Pattern Recognition: 18 works · 10.0% of their workSignal Processing: 11 works · 6.3% of their workEngineering: 7 works · 4.0% of their workMedia Technology: 7 works · 4.0% of their workEverything else: 71 works · 40.1% of their workSocial Sciences: 34 works · 19.2% of their workSocial Sciences: 34 works · 19.2% of their workGeography, Planning and Development: 23 works · 12.9% of their workTransportation: 11 works · 6.3% of their workTHEIR WORKGengchen Mai177works
Physical Sciences41%Social Sciences19%

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 Science6536.7%
    2. Engineering74.0%
  2. Everything else7140.1%
    1. Social Sciences3419.2%
  1. 1Artificial Intelligence20% of their works
  2. 2Geography, Planning and Development13% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Transportation6% of their works
  5. 5Signal Processing6% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Gengchen Mai's research?

The keywords of their largest research topics: Semantic Web, Geospatial Crowdsourcing, Volunteered Geographic Information, Deep Learning, GPS Trajectories, Trajectory Data Mining, Neural Networks and GPS Data.

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. Semantic Web862 topics
  2. Geospatial Crowdsourcing621 topic
  3. Volunteered Geographic Information621 topic
  4. Deep Learning503 topics
  5. GPS Trajectories291 topic
  6. Trajectory Data Mining291 topic
  7. Neural Networks282 topics
  8. GPS Data251 topic
  9. Human Mobility251 topic
  10. Linked Data241 topic
  11. Ontology241 topic
  12. Graph Neural Networks181 topic
  13. Knowledge Graph Embedding181 topic
  14. Remote Sensing171 topic
  15. Road Extraction171 topic
  16. Image Captioning151 topic
  17. Visual Question Answering151 topic
  18. Machine Translation131 topic
  19. Word Representation131 topic

Where does Gengchen Mai work?

Gengchen Mai's main affiliation in the publication record is University of California, Santa Barbara, United States.

How many publications and citations does Gengchen Mai have?

OpenAlex counts 177 works and 3,542 citations for Gengchen Mai, an h-index of 31, ranking #28,335 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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