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Researcher · University of Michigan · United States

Ruei-Che Chang

Ruei-Che Chang publishes mostly in Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, on topics such as Tactile and Sensory Interactions, Interactive and Immersive Displays and Virtual Reality Applications and Impacts.

ORCID 0000-0001-7545-4136 OpenAlex
World rank
#1,684,266
of 7,710,434 ranked researchers
Rank in United States
#521,258
of 1,627,098
Works
31
Citations
277
Citations per work
8.9
h-index
10
i10-index 10Top 48% in Human-Computer Interaction
Ruei-Che Chang

What does Ruei-Che Chang research?

Ruei-Che Chang's work is mostly in Computer Science (45%), Neuroscience (22%), Psychology (6%).

Physical Sciences: 14 works · 44.9% of their workComputer Science: 14 works · 44.9% of their workHuman-Computer Interaction: 8 works · 24.7% of their workComputer Vision and Pattern Recognition: 5 works · 15.7% of their workArtificial Intelligence: 1 works · 4.5% of their workEverything else: 7 works · 23.6% of their workLife Sciences: 7 works · 22.5% of their workNeuroscience: 7 works · 22.5% of their workCognitive Neuroscience: 7 works · 22.5% of their workSocial Sciences: 3 works · 9.0% of their workPsychology: 2 works · 5.6% of their workSocial Psychology: 2 works · 5.6% of their workSocial Sciences: 1 works · 3.4% of their workHuman Factors and Ergonomics: 1 works · 3.4% of their workTHEIR WORKRuei-Che Chang31works
Life Sciences22%Physical Sciences45%Social Sciences9%

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 Science1444.9%
  2. Everything else723.6%
    1. Neuroscience722.5%
    1. Psychology25.6%
    2. Social Sciences13.4%
  1. 1Human-Computer Interaction25% of their works
  2. 2Cognitive Neuroscience22% of their works
  3. 3Computer Vision and Pattern Recognition16% of their works
  4. 4Social Psychology6% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Human Factors and Ergonomics3% of their works

Research topics

Which keywords describe Ruei-Che Chang's research?

The keywords of their largest research topics: Cross-modal Plasticity, Tactile Perception, Gesture Recognition, Virtual Reality, Interaction Techniques, Tangible User Interfaces, Deep Learning and Embodiment.

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 22 words, with their numbers
  1. Cross-modal Plasticity181 topic
  2. Tactile Perception181 topic
  3. Gesture Recognition112 topics
  4. Virtual Reality92 topics
  5. Interaction Techniques81 topic
  6. Tangible User Interfaces81 topic
  7. Deep Learning62 topics
  8. Embodiment61 topic
  9. Human-Computer Interaction62 topics
  10. Human-Robot Interaction62 topics
  11. Neural Networks62 topics
  12. Presence61 topic
  13. Anthropomorphism31 topic
  14. Artificial Intelligence31 topic
  15. Eye Tracking31 topic
  16. Gaze Estimation31 topic
  17. Hand Gesture31 topic
  18. Image Captioning31 topic
  19. Service Robots31 topic
  20. Sign Language31 topic
  21. Socially Assistive Robotics31 topic
  22. Visual Question Answering31 topic

Where does Ruei-Che Chang work?

Ruei-Che Chang's main affiliation in the publication record is University of Michigan, United States.

How many publications and citations does Ruei-Che Chang have?

OpenAlex counts 31 works and 277 citations for Ruei-Che Chang, an h-index of 10, ranking #1,684,266 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.

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