Mohammad Yaqub

2.3k total citations · 1 hit paper
50 papers, 865 citations indexed

About

Mohammad Yaqub is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Yaqub has authored 50 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Pediatrics, Perinatology and Child Health and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Yaqub's work include Fetal and Pediatric Neurological Disorders (14 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Neonatal and fetal brain pathology (6 papers). Mohammad Yaqub is often cited by papers focused on Fetal and Pediatric Neurological Disorders (14 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Neonatal and fetal brain pathology (6 papers). Mohammad Yaqub collaborates with scholars based in United Kingdom, United Arab Emirates and United States. Mohammad Yaqub's co-authors include J. Alison Noble, Aris T. Papageorghiou, Ana I. L. Namburete, Maha Saadeh, M K Javaid, Hazem Hiary, Heba Saadeh, Cyrus Cooper, Brenda Kelly and B. Kemp and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and American Journal of Obstetrics and Gynecology.

In The Last Decade

Mohammad Yaqub

42 papers receiving 844 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey

2022 136 citations Mohammad Yaqub et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohammad Yaqub United Kingdom	15	283	266	168	131	76	50	865
Monica Franzese Italy	22	304 1.1×	49 0.2×	122 0.7×	23 0.2×	1 0.0×	83	1.3k
Suresh Seshadri India	13	71 0.3×	308 1.2×	72 0.4×	50 0.4×		78	714
Jianan Chen China	10	224 0.8×	17 0.1×	138 0.8×	254 1.9×	8 0.1×	32	580
Mahmudul Hasan Bangladesh	10	344 1.2×	14 0.1×	195 1.2×	305 2.3×	7 0.1×	29	872
Liangliang Liu China	16	176 0.6×	7 0.0×	190 1.1×	207 1.6×	86 1.1×	48	787
Frauke Degenhardt Germany	9	42 0.1×	26 0.1×	44 0.3×	8 0.1×	13 0.2×	25	774
Wei‐Lun Chang Taiwan	22	62 0.2×	13 0.0×	138 0.8×	151 1.2×	21 0.3×	102	1.7k
Fajin Dong China	15	335 1.2×	19 0.1×	174 1.0×	111 0.8×		99	1.0k
Dongdong Zhang China	16	44 0.2×	21 0.1×	219 1.3×	102 0.8×	2 0.0×	60	936

Countries citing papers authored by Mohammad Yaqub

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mohammad Yaqub

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Yaqub. A scholar is included among the top collaborators of Mohammad Yaqub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Yaqub. Mohammad Yaqub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hassan, Syed Shams ul, et al.. (2025). MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study. Scientific Reports. 15(1). 15835–15835. 6 indexed citations

Saeed, Numan, et al.. (2025). Continual Learning in Medical Imaging: A Survey and Practical Analysis. ACM Computing Surveys. 58(8). 1–25.

Saeed, Numan, et al.. (2024). SimLVSeg: Simplifying Left Ventricular Segmentation in 2-D+Time Echocardiograms With Self- and Weakly Supervised Learning. Ultrasound in Medicine & Biology. 50(12). 1945–1954. 4 indexed citations

Saeed, Numan, et al.. (2024). On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks. 1–4.

Yaqub, Mohammad, et al.. (2024). RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning. IEEE Access. 12. 42614–42628.

Bricker, Leanne, et al.. (2024). FUSC: Fetal Ultrasound Semantic Clustering of Second-Trimester Scans Using Deep Self-Supervised Learning. Ultrasound in Medicine & Biology. 50(5). 703–711. 1 indexed citations

Syed, Naveed, et al.. (2024). Novel hierarchical deep learning models predict type of leukemia from whole slide microscopic images of peripheral blood. 8. 5–5.

Calonge, David Santandreu, et al.. (2023). Hybrid Flexible (HyFlex) learning space design and implementation at graduate level: An iterative process. Cogent Education. 10(2). 4 indexed citations

Saeed, Numan, et al.. (2023). Prompt-Based Tuning of Transformer Models for Multi-Center Medical Image Segmentation of Head and Neck Cancer. Bioengineering. 10(7). 879–879. 2 indexed citations

10.

Saeed, Numan, et al.. (2023). MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. Medical Image Analysis. 90. 102989–102989. 16 indexed citations

11.

Cattani, Laura, Dominique Van Schoubroeck, Mohammad Yaqub, et al.. (2021). Automatic Extraction of Hiatal Dimensions in 3-D Transperineal Pelvic Ultrasound Recordings. Ultrasound in Medicine & Biology. 47(12). 3470–3479. 10 indexed citations

12.

Yaqub, Mohammad, et al.. (2019). Automated 3D ultrasound image analysis for first trimester assessment of fetal health. Physics in Medicine and Biology. 64(18). 185010–185010. 30 indexed citations

13.

Namburete, Ana I. L., Weidi Xie, Mohammad Yaqub, Andrew Zisserman, & J. Alison Noble. (2018). Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Analysis. 46. 1–14. 57 indexed citations

14.

Yaqub, Mohammad, Brenda Kelly, Aris T. Papageorghiou, & J. Alison Noble. (2017). A Deep Learning Solution for Automatic Fetal Neurosonographic Diagnostic Plane Verification Using Clinical Standard Constraints. Ultrasound in Medicine & Biology. 43(12). 2925–2933. 52 indexed citations

15.

Yaqub, Mohammad, et al.. (2016). Automated 3D ultrasound biometry planes extraction for first trimester fetal assessment. Lecture notes in computer science. 196–204. 1 indexed citations

16.

Huang, Ruobing, Ana I. L. Namburete, Mohammad Yaqub, & J. Alison Noble. (2015). Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images.. 46–51. 3 indexed citations

17.

Namburete, Ana I. L., Richard V. Stebbing, B. Kemp, et al.. (2015). Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Analysis. 21(1). 72–86. 67 indexed citations

18.

Ioannou, C., M K Javaid, Pamela Mahon, et al.. (2012). The Effect of Maternal Vitamin D Concentration on Fetal Bone. The Journal of Clinical Endocrinology & Metabolism. 97(11). E2070–E2077. 69 indexed citations

19.

Ioannou, C., Ippokratis Sarris, Mohammad Yaqub, et al.. (2011). Surface area measurement using rendered three‐dimensional ultrasound imaging: an in‐vitro phantom study. Ultrasound in Obstetrics and Gynecology. 38(4). 445–449. 6 indexed citations

20.

Yaqub, Mohammad, et al.. (1980). Determination of vitamin C from human urine and blood.. PubMed. 30(3). 69–72. 1 indexed citations

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.

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