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Researcher · Saveetha University · India

Hinpetch Daungsupawong

Hinpetch Daungsupawong publishes mostly in Health Informatics, Surgery and Radiology, Nuclear Medicine and Imaging, on topics such as Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging and SARS-CoV-2 and COVID-19 Research.

ORCID 0009-0002-5881-2709 OpenAlex
World rank
#7,709,611
of 7,710,434 ranked researchers
Rank in India
#280,093
of 280,097
Works
852
Citations
328
Citations per work
0.4
h-index
6
i10-index 2Top 62% in Health Informatics
Hinpetch Daungsupawong

What does Hinpetch Daungsupawong research?

Hinpetch Daungsupawong's work is mostly in Medicine (38%).

Everything else: 530 works · 62.2% of their workHealth Sciences: 322 works · 37.8% of their workMedicine: 322 works · 37.8% of their workHealth Informatics: 92 works · 10.8% of their workSurgery: 64 works · 7.5% of their workRadiology, Nuclear Medicine and Imaging: 51 works · 6.0% of their workInfectious Diseases: 45 works · 5.3% of their workPublic Health, Environmental and Occupational Health: 37 works · 4.4% of their workEpidemiology: 32 works · 3.8% of their workTHEIR WORKHinpetchDaungsupawong852works
Health Sciences38%

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 else53062.2%
    1. Medicine32237.8%
  1. 1Health Informatics11% of their works
  2. 2Surgery8% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Infectious Diseases5% of their works
  5. 5Public Health, Environmental and Occupational Health4% of their works
  6. 6Epidemiology4% of their works

Research topics

Which keywords describe Hinpetch Daungsupawong's research?

The keywords of their largest research topics: Medical Imaging, Machine Learning, Precision Medicine, Artificial Intelligence, Clinical Decision Support, Healthcare, ACE2 Receptor and SARS-CoV-2.

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 22 words, with their numbers
  1. Medical Imaging3123 topics
  2. Machine Learning2822 topics
  3. Precision Medicine2822 topics
  4. Artificial Intelligence2612 topics
  5. Clinical Decision Support2311 topic
  6. Healthcare2311 topic
  7. ACE2 Receptor782 topics
  8. SARS-CoV-2782 topics
  9. Quantitative Analysis511 topic
  10. Radiomics511 topic
  11. Coronavirus481 topic
  12. Vaccine481 topic
  13. COVID-19 Vaccine451 topic
  14. Vaccine Hesitancy451 topic
  15. Clinical Reasoning311 topic
  16. Diagnostic Error311 topic
  17. COVID-19301 topic
  18. Clinical Characteristics301 topic
  19. Deep Learning301 topic
  20. Epidemiology301 topic
  21. Choosing Wisely291 topic
  22. Low-Value Care291 topic

Where does Hinpetch Daungsupawong work?

Hinpetch Daungsupawong's main affiliation in the publication record is Saveetha University, India.

How many publications and citations does Hinpetch Daungsupawong have?

OpenAlex counts 852 works and 328 citations for Hinpetch Daungsupawong, an h-index of 6, ranking #7,709,611 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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