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Researcher · National Taiwan University · Taiwan

Yulin Hou

Yulin Hou publishes mostly in Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, on topics such as Video Surveillance and Tracking Methods, Advancements in Transdermal Drug Delivery and Advanced Drug Delivery Systems.

ORCID 0009-0009-4690-413X OpenAlex
World rank
#5,573,112
of 7,710,434 ranked researchers
Rank in Taiwan
#42,950
of 57,035
Works
26
Citations
221
Citations per work
8.5
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Yulin Hou

What does Yulin Hou research?

Yulin Hou's work is mostly in Computer Science (22%), Engineering (7%), Pharmacology, Toxicology and Pharmaceutics (6%).

Everything else: 14 works · 55.1% of their workPhysical Sciences: 8 works · 29.5% of their workComputer Science: 6 works · 22.5% of their workComputer Vision and Pattern Recognition: 4 works · 15.5% of their workArtificial Intelligence: 2 works · 7.0% of their workEngineering: 2 works · 7.0% of their workBiomedical Engineering: 2 works · 7.0% of their workLife Sciences: 1 works · 5.6% of their workPharmacology, Toxicology and Pharmaceutics: 1 works · 5.6% of their workPharmaceutical Science: 1 works · 5.6% of their workHealth Sciences: 1 works · 5.6% of their workDentistry: 1 works · 5.6% of their workOrthodontics: 1 works · 5.6% of their workSocial Sciences: 1 works · 4.2% of their workSocial Sciences: 1 works · 4.2% of their workSociology and Political Science: 1 works · 4.2% of their workTHEIR WORKYulin Hou26works
Life Sciences6%Physical Sciences30%Health Sciences6%Social Sciences4%

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. Everything else1455.1%
    1. Computer Science622.5%
    2. Engineering27.0%
    1. Pharmacology, Toxicology and Pharmaceutics15.6%
    1. Dentistry15.6%
    1. Social Sciences14.2%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Biomedical Engineering7% of their works
  3. 3Artificial Intelligence7% of their works
  4. 4Pharmaceutical Science6% of their works
  5. 5Orthodontics6% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Yulin Hou's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Object Tracking, Pose Estimation, Visual Tracking, Action Recognition, Anomaly Detection and Chitosan.

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 19 words, with their numbers
  1. Deep Learning104 topics
  2. Convolutional Neural Networks62 topics
  3. Object Tracking41 topic
  4. Pose Estimation42 topics
  5. Visual Tracking41 topic
  6. Action Recognition21 topic
  7. Anomaly Detection21 topic
  8. Chitosan21 topic
  9. Face Recognition21 topic
  10. Facial Landmark Detection21 topic
  11. Immersed Boundary Method21 topic
  12. Lattice Boltzmann Method21 topic
  13. Loop-Mediated Isothermal Amplification21 topic
  14. Microneedles21 topic
  15. Nanoparticles21 topic
  16. Paper-Based Microfluidics21 topic
  17. Solid Lipid Nanoparticles21 topic
  18. Spatiotemporal Features21 topic
  19. Unsupervised21 topic

Where does Yulin Hou work?

Yulin Hou's main affiliation in the publication record is National Taiwan University, Taiwan.

How many publications and citations does Yulin Hou have?

OpenAlex counts 26 works and 221 citations for Yulin Hou, an h-index of 9, ranking #5,573,112 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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