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Researcher · National Taiwan University · Taiwan

Ding‐Yong Hong

Ding‐Yong Hong publishes mostly in Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Advanced Neural Network Applications.

ORCID 0000-0002-7649-7581 OpenAlex
World rank
#7,317,044
of 7,710,434 ranked researchers
Rank in Taiwan
#55,207
of 57,035
Works
53
Citations
324
Citations per work
6.1
h-index
10
i10-index 10Top 43% in Hardware and Architecture
Ding‐Yong Hong

What does Ding‐Yong Hong research?

Ding‐Yong Hong's work is mostly in Computer Science (89%), Engineering (2%).

Physical Sciences: 48 works · 91.5% of their workComputer Science: 47 works · 89.5% of their workHardware and Architecture: 15 works · 28.9% of their workArtificial Intelligence: 11 works · 21.1% of their workComputer Vision and Pattern Recognition: 10 works · 19.1% of their workComputer Networks and Communications: 10 works · 18.4% of their workInformation Systems: 1 works · 2.0% of their workEngineering: 1 works · 2.0% of their workElectrical and Electronic Engineering: 1 works · 2.0% of their workEverything else: 5 works · 8.5% of their workTHEIR WORKDing‐Yong Hong53works
Physical Sciences92%

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 Science4789.5%
    2. Engineering12.0%
  2. Everything else58.5%
  1. 1Hardware and Architecture29% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Computer Vision and Pattern Recognition19% of their works
  4. 4Computer Networks and Communications18% of their works
  5. 5Information Systems2% of their works
  6. 6Electrical and Electronic Engineering2% of their works

Research topics

Which keywords describe Ding‐Yong Hong's research?

The keywords of their largest research topics: Parallel Computing, GPU Computing, Performance Optimization, Deep Learning, Distributed Storage, Network Coding, Convolutional Neural Networks and Image Recognition.

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 18 words, with their numbers
  1. Parallel Computing502 topics
  2. GPU Computing301 topic
  3. Performance Optimization301 topic
  4. Deep Learning202 topics
  5. Distributed Storage201 topic
  6. Network Coding201 topic
  7. Convolutional Neural Networks161 topic
  8. Image Recognition161 topic
  9. High-Level Synthesis101 topic
  10. Reconfigurable Computing101 topic
  11. Domain Adaptation71 topic
  12. Transfer Learning71 topic
  13. Compression51 topic
  14. Suffix Arrays51 topic
  15. Action Recognition41 topic
  16. Deep Packet Inspection41 topic
  17. Packet Classification41 topic
  18. Pose Estimation41 topic

Where does Ding‐Yong Hong work?

Ding‐Yong Hong's main affiliation in the publication record is National Taiwan University, Taiwan.

How many publications and citations does Ding‐Yong Hong have?

OpenAlex counts 53 works and 324 citations for Ding‐Yong Hong, an h-index of 10, ranking #7,317,044 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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