Prem Enkvetchakul
Prem Enkvetchakul publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Media Technology, on topics such as COVID-19 diagnosis using AI, AI in cancer detection and Medical Imaging and Analysis.
- World rank
- #2,084,402 of 7,710,434 ranked researchers
- Rank in Thailand
- #3,805 of 23,698
- Works
- 19
- Citations
- 263
- Citations per work
- 13.8
What does Prem Enkvetchakul research?
Prem Enkvetchakul's work is mostly in Computer Science (19%), Engineering (12%), Medicine (12%).
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
- Everything else1051.8%
- Physical Sciences630.9%
- Computer Science419.3%
- Engineering211.6%
- Health Sciences211.5%
- Medicine211.5%
- Social Sciences15.8%
- Social Sciences15.8%
- 1Artificial Intelligence14% of their works
- 2Radiology, Nuclear Medicine and Imaging12% of their works
- 3Media Technology6% of their works
- 4Biomedical Engineering6% of their works
- 5Computer Vision and Pattern Recognition6% of their works
- 6Transportation6% of their works
Research topics
Which keywords describe Prem Enkvetchakul's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Artificial Intelligence, Medical Image Analysis, Image Processing, Machine Learning, COVID-19 and Medical Imaging.
- Smart Farming
- Ridesharing
- Malaria Parasite Detection
- Healthcare
- Vertebrae Detection
- Histopathology Images
- Computer-Aided Detection
- Medical Imaging
- Machine Learning
- Medical Image Analysis
- Convolutional Neural Networks
- Deep Learning
- Artificial Intelligence
- Image Processing
- COVID-19
- Autofocusing
- Depth Estimation
- Spine Segmentation
- Electronic Health Records
- Leukemia Classification
- Plant Disease Detection
- Shared Autonomous Vehicles
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
- Deep Learning155 topics
- Convolutional Neural Networks103 topics
- Artificial Intelligence82 topics
- Medical Image Analysis83 topics
- Image Processing73 topics
- Machine Learning73 topics
- COVID-1951 topic
- Medical Imaging51 topic
- Autofocusing31 topic
- Computer-Aided Detection31 topic
- Depth Estimation31 topic
- Histopathology Images31 topic
- Spine Segmentation31 topic
- Vertebrae Detection31 topic
- Electronic Health Records21 topic
- Healthcare21 topic
- Leukemia Classification21 topic
- Malaria Parasite Detection21 topic
- Plant Disease Detection21 topic
- Ridesharing21 topic
- Shared Autonomous Vehicles21 topic
- Smart Farming21 topic
Where does Prem Enkvetchakul work?
Prem Enkvetchakul's main affiliation in the publication record is Buriram Rajabhat University, Thailand.
How many publications and citations does Prem Enkvetchakul have?
OpenAlex counts 19 works and 263 citations for Prem Enkvetchakul, an h-index of 8, ranking #2,084,402 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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