Science Explorer Back to mapMap
Discussion
Researcher · Amazon (United States) · United States

Boran Han

Boran Han publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, on topics such as Multimodal Machine Learning Applications, Topic Modeling and Time Series Analysis and Forecasting.

ORCID 0000-0002-3621-3134 OpenAlex
World rank
#2,056,574
of 7,710,434 ranked researchers
Rank in United States
#622,355
of 1,627,098
Works
39
Citations
302
Citations per work
7.7
h-index
6
i10-index 6Top 74% in Artificial Intelligence
Boran Han

What does Boran Han research?

Boran Han's work is mostly in Computer Science (55%), Engineering (14%).

Physical Sciences: 27 works · 68.4% of their workComputer Science: 21 works · 54.6% of their workArtificial Intelligence: 14 works · 35.2% of their workComputer Vision and Pattern Recognition: 6 works · 14.8% of their workSignal Processing: 2 works · 4.6% of their workEngineering: 5 works · 13.8% of their workControl and Systems Engineering: 2 works · 4.6% of their workElectrical and Electronic Engineering: 2 works · 4.6% of their workMedia Technology: 2 works · 4.6% of their workEverything else: 12 works · 31.6% of their workTHEIR WORKBoran Han39works
Physical Sciences68%

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 Science2154.6%
    2. Engineering513.8%
  2. Everything else1231.6%
  1. 1Artificial Intelligence35% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Media Technology5% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Control and Systems Engineering5% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Boran Han's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Multi-Agent Systems, Visual Question Answering, Machine Translation, Word Representation and Clustering.

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. Deep Learning184 topics
  2. Neural Networks163 topics
  3. Image Captioning71 topic
  4. Multi-Agent Systems72 topics
  5. Visual Question Answering71 topic
  6. Machine Translation61 topic
  7. Word Representation61 topic
  8. Clustering51 topic
  9. Time Series51 topic
  10. Agent-Based Modeling41 topic
  11. Argumentation Frameworks41 topic
  12. Domain Adaptation31 topic
  13. Electronic Health Records31 topic
  14. Healthcare31 topic
  15. Monte Carlo Tree Search31 topic
  16. Procedural Content Generation31 topic
  17. Reinforcement Learning31 topic
  18. Robotics31 topic
  19. Transfer Learning31 topic

Where does Boran Han work?

Boran Han's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Boran Han have?

OpenAlex counts 39 works and 302 citations for Boran Han, an h-index of 6, ranking #2,056,574 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.

Other researchers named Boran Han

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 Boran Han. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.