Adnan Mohsin Abdulazeez
Adnan Mohsin Abdulazeez publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Artificial Intelligence in Healthcare and Brain Tumor Detection and Classification.
- World rank
- #647,849 of 7,710,434 ranked researchers
- Rank in Iraq
- #309 of 9,225
- Works
- 132
- Citations
- 7.7k
- Citations per work
- 58.7
What does Adnan Mohsin Abdulazeez research?
Adnan Mohsin Abdulazeez's work is mostly in Computer Science (45%), Medicine (8%), Health Professions (6%).
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 Sciences6045.2%
- Computer Science6045.2%
- Everything else4937.2%
- Health Sciences1813.7%
- Medicine107.7%
- Health Professions86.0%
- Life Sciences53.9%
- Neuroscience53.9%
- 1Artificial Intelligence22% of their works
- 2Computer Vision and Pattern Recognition19% of their works
- 3Radiology, Nuclear Medicine and Imaging8% of their works
- 4Health Information Management6% of their works
- 5Information Systems4% of their works
- 6Neurology4% of their works
Research topics
Which keywords describe Adnan Mohsin Abdulazeez's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Feature Selection, Medical Image Analysis, Medical Imaging, Transfer Learning and Feature Extraction.
- Imbalanced Data
- Malaria Parasite Detection
- Dimensionality Reduction
- Chest X-Ray
- Age Estimation
- Brain Tumor
- Histopathology Images
- Computer-Aided Detection
- Classification
- Feature Extraction
- Medical Imaging
- Feature Selection
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Medical Image Analysis
- Transfer Learning
- Face Recognition
- Big Data Analytics
- Healthcare
- Ensemble Methods
- MRI
- COVID-19
- Facial Landmark Detection
- Leukemia Classification
- Support Vector Machines
- SMOTE
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 27 words, with their numbers
- Machine Learning634 topics
- Deep Learning574 topics
- Convolutional Neural Networks544 topics
- Feature Selection302 topics
- Medical Image Analysis302 topics
- Medical Imaging252 topics
- Transfer Learning252 topics
- Feature Extraction232 topics
- Face Recognition222 topics
- Classification212 topics
- Big Data Analytics201 topic
- Computer-Aided Detection201 topic
- Healthcare201 topic
- Histopathology Images201 topic
- Ensemble Methods182 topics
- Brain Tumor131 topic
- MRI131 topic
- Age Estimation121 topic
- COVID-19121 topic
- Chest X-Ray121 topic
- Facial Landmark Detection121 topic
- Dimensionality Reduction101 topic
- Leukemia Classification101 topic
- Malaria Parasite Detection101 topic
- Support Vector Machines101 topic
- Imbalanced Data81 topic
- SMOTE81 topic
Where does Adnan Mohsin Abdulazeez work?
Adnan Mohsin Abdulazeez's main affiliation in the publication record is Duhok Polytechnic University, Iraq.
How many publications and citations does Adnan Mohsin Abdulazeez have?
OpenAlex counts 132 works and 7,744 citations for Adnan Mohsin Abdulazeez, an h-index of 30, ranking #647,849 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.
Other researchers named Adnan Mohsin Abdulazeez
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