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Researcher · National Pingtung University · Taiwan

Ming‐Huwi Horng

Ming‐Huwi Horng publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering, on topics such as Medical Image Segmentation Techniques, Image Enhancement Techniques and AI in cancer detection.

ORCID 0000-0001-6333-2457 OpenAlex
World rank
#804,692
of 7,710,434 ranked researchers
Rank in Taiwan
#3,506
of 57,035
Works
70
Citations
2.1k
Citations per work
30.4
h-index
22
i10-index 31Top 11% in Computer Vision and Pattern Recognition
Ming‐Huwi Horng

What does Ming‐Huwi Horng research?

Ming‐Huwi Horng's work is mostly in Computer Science (47%), Engineering (15%), Medicine (6%).

Physical Sciences: 43 works · 62.0% of their workComputer Science: 33 works · 47.2% of their workComputer Vision and Pattern Recognition: 27 works · 39.0% of their workArtificial Intelligence: 6 works · 8.2% of their workEngineering: 10 works · 14.8% of their workMechanical Engineering: 4 works · 5.5% of their workMedia Technology: 3 works · 4.9% of their workControl and Systems Engineering: 3 works · 4.4% of their workEverything else: 23 works · 32.5% of their workHealth Sciences: 4 works · 5.5% of their workMedicine: 4 works · 5.5% of their workSurgery: 4 works · 5.5% of their workTHEIR WORKMing‐Huwi Horng70works
Physical Sciences62%Health Sciences6%

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 Science3347.2%
    2. Engineering1014.8%
  2. Everything else2332.5%
    1. Medicine45.5%
  1. 1Computer Vision and Pattern Recognition39% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Mechanical Engineering6% of their works
  4. 4Surgery6% of their works
  5. 5Media Technology5% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Ming‐Huwi Horng's research?

The keywords of their largest research topics: Deep Learning, Medical Image Analysis, Image Processing, Graph Cuts, Image Segmentation, Neural Networks, Contrast Enhancement and Dehazing.

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. Deep Learning506 topics
  2. Medical Image Analysis212 topics
  3. Image Processing172 topics
  4. Graph Cuts141 topic
  5. Image Segmentation141 topic
  6. Neural Networks142 topics
  7. Contrast Enhancement101 topic
  8. Dehazing101 topic
  9. Autofocusing71 topic
  10. Computer-Aided Detection71 topic
  11. Depth Estimation71 topic
  12. Distal Radius Fractures71 topic
  13. Flexor Tendon Repair71 topic
  14. Histopathology Images71 topic
  15. Image71 topic
  16. Super-Resolution71 topic
  17. Feature Matching61 topic
  18. JPEG200061 topic
  19. Local Descriptors61 topic
  20. Wavelet Compression61 topic

Where does Ming‐Huwi Horng work?

Ming‐Huwi Horng's main affiliation in the publication record is National Pingtung University, Taiwan.

How many publications and citations does Ming‐Huwi Horng have?

OpenAlex counts 70 works and 2,125 citations for Ming‐Huwi Horng, an h-index of 22, ranking #804,692 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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