Mohammad Yaqub
Impact in
- Health Informatics top 2%
-
- Fetal and Pediatric Neurological Disorders
- Neonatal and fetal brain pathology
Papers in
-
- Domain Adaptation and Few-Shot Learning 10
- AI in cancer detection 6
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- Fetal and Pediatric Neurological Disorders 14
- Neonatal and fetal brain pathology 6
- Prenatal Screening and Diagnostics 5
- Co-authors
- J. Alison Noble (21 shared papers)Aris T. Papageorghiou (16 shared papers)Ana I. L. Namburete (6 shared papers)M K Javaid (4 shared papers)Maha Saadeh (1 shared paper)Hazem Hiary (1 shared paper)Heba Saadeh (1 shared paper)Cyrus Cooper (2 shared papers)
- Journals
- Ultrasound in Obstetrics and Gynecology (5 papers)Ultrasound in Medicine & Biology (4 papers)Medical Image Analysis (3 papers)Scientific Reports (2 papers)IEEE Access (2 papers)
- Partner nations
- United KingdomUnited Arab EmiratesUnited States
In The Last Decade
Mohammad Yaqub
42 papers receiving 844 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Health Informatics 52
- Pediatrics, Perinatology and Child Health 266
- Health Information Management 61
- Radiology, Nuclear Medicine and Imaging 283
- Ophthalmology 76
Countries citing papers authored by Mohammad Yaqub
This map shows the geographic impact of Mohammad Yaqub's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Yaqub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Yaqub more than expected).
Fields of papers citing papers by Mohammad Yaqub
This network shows the impact of papers produced by Mohammad Yaqub. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Yaqub. The network helps show where Mohammad Yaqub may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Yaqub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey Hit paper breakdown → | 2022 | 136 |
| 2 | 2020 | 77 | |
| 3 | 2018 | 75 | |
| 4 | 2012 | 69 | |
| 5 | 2015 | 67 | |
| 6 | 2018 | 57 | |
| 7 | 2017 | 52 | |
| 8 | 2013 | 42 | |
| 9 | 2019 | 30 | |
| 10 | 2017 | 24 | |
| 11 | 1980 | 24 | |
| 12 | 2020 | 20 | |
| 13 | 2018 | 20 | |
| 14 | 2012 | 19 | |
| 15 | 2023 | 16 | |
| 16 | 2021 | 14 | |
| 17 | 2015 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2014 | 8 |
About Mohammad Yaqub
Mohammad Yaqub is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 50 papers that have together received 865 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (14 papers), Domain Adaptation and Few-Shot Learning (10 papers), Neonatal and fetal brain pathology (6 papers), AI in cancer detection (6 papers), Prenatal Screening and Diagnostics (5 papers), Cleft Lip and Palate Research (4 papers), Brain Tumor Detection and Classification (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (52 citations), Pediatrics, Perinatology and Child Health (266 citations), Health Information Management (61 citations), Radiology, Nuclear Medicine and Imaging (283 citations) and Ophthalmology (76 citations). Mohammad Yaqub has collaborated with scholars based in United Kingdom, United Arab Emirates and United States. Frequent co-authors include J. Alison Noble, Aris T. Papageorghiou, Ana I. L. Namburete, M K Javaid, Maha Saadeh, Hazem Hiary, Heba Saadeh, Cyrus Cooper, Brenda Kelly and B. Kemp. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Ultrasound in Medicine & Biology, Medical Image Analysis, Scientific Reports and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.