Juel Sikder
Juel Sikder publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as AI in cancer detection, Face and Expression Recognition and Face recognition and analysis.
- World rank
- #2,661,687 of 7,710,434 ranked researchers
- Rank in Bangladesh
- #4,090 of 14,256
- Works
- 26
- Citations
- 345
- Citations per work
- 13.3
What does Juel Sikder research?
Juel Sikder's work is mostly in Computer Science (57%), Engineering (9%), Medicine (7%).
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
- Physical Sciences1765.1%
- Computer Science1556.5%
- Engineering28.6%
- Everything else727.7%
- Health Sciences27.2%
- Medicine27.2%
- 1Computer Vision and Pattern Recognition32% of their works
- 2Artificial Intelligence17% of their works
- 3Information Systems7% of their works
- 4Radiology, Nuclear Medicine and Imaging7% of their works
- 5Industrial and Manufacturing Engineering4% of their works
- 6Media Technology4% of their works
Research topics
Which keywords describe Juel Sikder's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Face Recognition, Medical Imaging, Transfer Learning, Age Estimation and Chest X-Ray.
- Text Detection
- Phishing
- MRI
- Fabric Defect Detection
- Medical Image Analysis
- Feature Selection
- Dimensionality Reduction
- COVID-19
- Transfer Learning
- Face Recognition
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Medical Imaging
- Age Estimation
- Chest X-Ray
- Facial Landmark Detection
- Histopathology Images
- Brain Tumor
- Handwriting Recognition
- Machine Vision
- Spam Detection
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 Learning185 topics
- Convolutional Neural Networks154 topics
- Machine Learning103 topics
- Face Recognition82 topics
- Medical Imaging72 topics
- Transfer Learning72 topics
- Age Estimation41 topic
- COVID-1941 topic
- Chest X-Ray41 topic
- Dimensionality Reduction41 topic
- Facial Landmark Detection41 topic
- Feature Selection41 topic
- Histopathology Images41 topic
- Medical Image Analysis41 topic
- Brain Tumor31 topic
- Fabric Defect Detection31 topic
- Handwriting Recognition31 topic
- MRI31 topic
- Machine Vision31 topic
- Phishing31 topic
- Spam Detection31 topic
- Text Detection31 topic
Where does Juel Sikder work?
Juel Sikder's main affiliation in the publication record is Rangamati Science and Technology University, Bangladesh.
How many publications and citations does Juel Sikder have?
OpenAlex counts 26 works and 345 citations for Juel Sikder, an h-index of 11, ranking #2,661,687 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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