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Researcher · Kyung Hee Cyber University · South Korea

Bong‐Hwa Hong

Bong‐Hwa Hong publishes mostly in Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Innovation in Digital Healthcare Systems, Educational Technology and Assessment and Multimedia Communication and Technology.

ORCID 0000-0001-7386-8669 OpenAlex
World rank
#5,244,533
of 7,710,434 ranked researchers
Rank in South Korea
#94,481
of 162,609
Works
62
Citations
157
Citations per work
2.5
h-index
5
i10-index 3Top 57% in Information Systems
Bong‐Hwa Hong

What does Bong‐Hwa Hong research?

Bong‐Hwa Hong's work is mostly in Computer Science (55%), Engineering (7%), Health Professions (6%).

Physical Sciences: 38 works · 61.2% of their workComputer Science: 34 works · 54.6% of their workInformation Systems: 15 works · 23.4% of their workComputer Networks and Communications: 12 works · 19.2% of their workComputer Vision and Pattern Recognition: 7 works · 12.0% of their workEngineering: 4 works · 6.6% of their workControl and Systems Engineering: 4 works · 6.6% of their workEverything else: 17 works · 27.4% of their workHealth Sciences: 4 works · 6.0% of their workHealth Professions: 4 works · 6.0% of their workHealth Information Management: 4 works · 6.0% of their workSocial Sciences: 3 works · 5.4% of their workSocial Sciences: 3 works · 5.4% of their workSociology and Political Science: 3 works · 5.4% of their workTHEIR WORKBong‐Hwa Hong62works
Physical Sciences61%Health Sciences6%Social Sciences5%

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 Science3454.6%
    2. Engineering46.6%
  2. Everything else1727.4%
    1. Health Professions46.0%
    1. Social Sciences35.4%
  1. 1Information Systems23% of their works
  2. 2Computer Networks and Communications19% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Control and Systems Engineering7% of their works
  5. 5Health Information Management6% of their works
  6. 6Sociology and Political Science5% of their works

Research topics

Which keywords describe Bong‐Hwa Hong's research?

The keywords of their largest research topics: Data Analysis, Wireless Sensor Networks, Machine Learning, Healthcare, Ontology-based, Educational Assessment, Fuzzy Logic and Interactive Television.

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. Data Analysis122 topics
  2. Wireless Sensor Networks122 topics
  3. Machine Learning112 topics
  4. Healthcare101 topic
  5. Ontology-based101 topic
  6. Educational Assessment81 topic
  7. Fuzzy Logic81 topic
  8. Interactive Television71 topic
  9. Social TV71 topic
  10. Big Data61 topic
  11. Energy-Efficient Protocols61 topic
  12. Internet of Things61 topic
  13. Routing Techniques61 topic
  14. Smart Factory61 topic
  15. Social Networks61 topic
  16. Ad Hoc Networks51 topic
  17. Educational Data Mining51 topic
  18. Learning Analytics51 topic
  19. Wireless Mesh Networks51 topic

Where does Bong‐Hwa Hong work?

Bong‐Hwa Hong's main affiliation in the publication record is Kyung Hee Cyber University, South Korea.

How many publications and citations does Bong‐Hwa Hong have?

OpenAlex counts 62 works and 157 citations for Bong‐Hwa Hong, an h-index of 5, ranking #5,244,533 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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