Julius Tube Sese
Julius Tube Sese publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, on topics such as Video Surveillance and Tracking Methods, Speech and Audio Processing and Advanced Chemical Sensor Technologies.
- World rank
- #7,160,553 of 7,710,434 ranked researchers
- Rank in Philippines
- #5,682 of 6,138
- Works
- 23
- Citations
- 105
- Citations per work
- 4.6
What does Julius Tube Sese research?
Julius Tube Sese's work is mostly in Engineering (24%), Computer Science (10%), Agricultural and Biological Sciences (3%).
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 else1459.2%
- Physical Sciences834.0%
- Engineering523.8%
- Computer Science210.2%
- Life Sciences13.4%
- Health Sciences13.4%
- Medicine13.4%
- 1Electrical and Electronic Engineering15% of their works
- 2Computer Vision and Pattern Recognition10% of their works
- 3Biomedical Engineering5% of their works
- 4Epidemiology3% of their works
- 5Animal Science and Zoology3% of their works
- 6Media Technology3% of their works
Research topics
Which keywords describe Julius Tube Sese's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, IoT, Neural Networks, Air Quality Monitoring, ALPR, Audio-Visual Speech Recognition and Automatic License Plate Recognition.
- Gut Microbiota
- Chicken Domestication
- Wireless
- Speech Enhancement
- Low-Cost Sensors
- Electronic Nose
- Automatic License Plate Recognition
- Air Quality Monitoring
- Neural Networks
- Convolutional Neural Networks
- Deep Learning
- IoT
- ALPR
- Audio-Visual Speech Recognition
- Breath Analysis
- Home Automation
- Object Tracking
- Visual Tracking
- Amino Acids
- Genetic Diversity
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
- Deep Learning63 topics
- Convolutional Neural Networks42 topics
- IoT42 topics
- Neural Networks42 topics
- ALPR21 topic
- Air Quality Monitoring21 topic
- Audio-Visual Speech Recognition21 topic
- Automatic License Plate Recognition21 topic
- Breath Analysis21 topic
- Electronic Nose21 topic
- Home Automation21 topic
- Low-Cost Sensors21 topic
- Object Tracking21 topic
- Speech Enhancement21 topic
- Visual Tracking21 topic
- Wireless21 topic
- Amino Acids11 topic
- Chicken Domestication11 topic
- Genetic Diversity11 topic
- Gut Microbiota11 topic
Where does Julius Tube Sese work?
Julius Tube Sese's main affiliation in the publication record is Mapúa University, Philippines.
How many publications and citations does Julius Tube Sese have?
OpenAlex counts 23 works and 105 citations for Julius Tube Sese, an h-index of 7, ranking #7,160,553 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.
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