Mominul Ahsan

3.5k total citations · 3 hit papers
72 papers, 1.5k citations indexed

About

Mominul Ahsan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mominul Ahsan has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 19 papers in Artificial Intelligence and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mominul Ahsan's work include COVID-19 diagnosis using AI (12 papers), Digital Imaging for Blood Diseases (7 papers) and Silicon Carbide Semiconductor Technologies (7 papers). Mominul Ahsan is often cited by papers focused on COVID-19 diagnosis using AI (12 papers), Digital Imaging for Blood Diseases (7 papers) and Silicon Carbide Semiconductor Technologies (7 papers). Mominul Ahsan collaborates with scholars based in United Kingdom, Bangladesh and Poland. Mominul Ahsan's co-authors include Julfikar Haider, Md. Nahiduzzaman, Alhussein Albarbar, Md. Abdul Based, Md. Omaer Faruq Goni, Marcin Kowalski, Md. Shamim Anower, Md. Robiul Islam, Stoyan Stoyanov and Lway Faisal Abdulrazak and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mominul Ahsan

67 papers receiving 1.4k 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.

Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

2022 98 citations Md. Robiul Islam, Lway Faisal Abdulrazak et al. Computers in Biology and Medicine profile →
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

2023 80 citations Md. Nahiduzzaman, Md. Robiul Islam et al. profile →
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images

2025 17 citations Md. Nahiduzzaman, Lway Faisal Abdulrazak et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mominul Ahsan United Kingdom	24	476	419	376	240	166	72	1.5k
Md. Robiul Islam Bangladesh	24	305 0.6×	405 1.0×	289 0.8×	279 1.2×	255 1.5×	71	1.8k
Ayodeji Olalekan Salau Nigeria	22	745 1.6×	219 0.5×	386 1.0×	182 0.8×	118 0.7×	235	2.0k
Edward Rajan Samuel Nadar India	17	257 0.5×	337 0.8×	299 0.8×	248 1.0×	77 0.5×	71	1.2k
Ahmed Wasif Reza Malaysia	20	841 1.8×	268 0.6×	123 0.3×	232 1.0×	229 1.4×	124	1.5k
Shabana Urooj India	24	621 1.3×	157 0.4×	289 0.8×	319 1.3×	205 1.2×	155	1.7k
Saad Bin Abul Kashem Qatar	16	119 0.3×	1.2k 2.9×	756 2.0×	319 1.3×	124 0.7×	53	1.9k
R. Karthick India	18	320 0.7×	110 0.3×	157 0.4×	131 0.5×	93 0.6×	64	888
Hani Alquhayz Saudi Arabia	17	141 0.3×	163 0.4×	318 0.8×	130 0.5×	93 0.6×	55	915
Pandia Rajan Jeyaraj India	13	146 0.3×	147 0.4×	193 0.5×	106 0.4×	57 0.3×	31	690
Hakil Kim South Korea	24	228 0.5×	174 0.4×	192 0.5×	809 3.4×	271 1.6×	152	2.0k

Countries citing papers authored by Mominul Ahsan

Since Specialization

Citations

This map shows the geographic impact of Mominul Ahsan'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 Mominul Ahsan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mominul Ahsan more than expected).

Fields of papers citing papers by Mominul Ahsan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mominul Ahsan. 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 Mominul Ahsan. The network helps show where Mominul Ahsan may publish in the future.

Co-authorship network of co-authors of Mominul Ahsan

This figure shows the co-authorship network connecting the top 25 collaborators of Mominul Ahsan. A scholar is included among the top collaborators of Mominul Ahsan 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 Mominul Ahsan. Mominul Ahsan 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

Abdullah, Rusli, et al.. (2025). Mulberry leaf disease detection by CNN-ViT with XAI integration. PLoS ONE. 20(6). e0325188–e0325188. 2 indexed citations

Nahiduzzaman, Md., Lway Faisal Abdulrazak, Amith Khandakar, et al.. (2025). A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images. Scientific Reports. 15(1). 1649–1649. 17 indexed citations breakdown →

Nahiduzzaman, Md., et al.. (2024). Prediction of fetal brain gestational age using multihead attention with Xception. Computers in Biology and Medicine. 182. 109155–109155. 2 indexed citations

Ahsan, Mominul, et al.. (2024). Machine Learning for Predicting Key Factors to Identify Misinformation in Football Transfer News. Computers. 13(6). 127–127. 2 indexed citations

Ahamed, Md. Faysal, et al.. (2024). Performance Evaluation of Various Deep Learning Models in Gait Recognition Using the CASIA-B Dataset. SHILAP Revista de lepidopterología. 12(12). 264–264. 3 indexed citations

Ahsan, Mominul, et al.. (2024). Leveraging Semantic Text Analysis to Improve the Performance of Transformer-Based Relation Extraction. Information. 15(2). 91–91. 3 indexed citations

Islam, Md. Robiul, et al.. (2023). Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification. SHILAP Revista de lepidopterología. 11(5). 134–134. 22 indexed citations

Nasir, Mostofa Kamal, et al.. (2023). A Faster RCNN-Based Diabetic Retinopathy Detection Method Using Fused Features From Retina Images. IEEE Access. 11. 124331–124349. 9 indexed citations

Sultana, Abida, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, et al.. (2023). A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. Sensors. 23(9). 4458–4458. 6 indexed citations

10.

Ahsan, Mominul, et al.. (2023). Detecting COVID-19 from Chest X-rays Using Convolutional Neural Network Ensembles. Computers. 12(5). 105–105. 4 indexed citations

11.

Islam, Md. Robiul, Lway Faisal Abdulrazak, Md. Nahiduzzaman, et al.. (2022). Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images. Computers in Biology and Medicine. 146. 105602–105602. 98 indexed citations breakdown →

12.

Nahiduzzaman, Md., et al.. (2022). An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI. Sensors. 22(19). 7268–7268. 62 indexed citations

13.

Ramasamy, Sridhar, et al.. (2021). Performance Enhancement of a Partially Shaded Photovoltaic Array by Optimal Reconfiguration and Current Injection Schemes. Energies. 14(19). 6332–6332. 7 indexed citations

14.

Rahman, Md. Mahabubur, Lway Faisal Abdulrazak, Mominul Ahsan, et al.. (2021). 2D Nanomaterial-Based Hybrid Structured (Au-WSe₂-PtSe₂-BP) Surface Plasmon Resonance (SPR) Sensor With Improved Performance. IEEE Access. 10. 689–698. 40 indexed citations

15.

Ramalingam, Senthil, C. S. Boopathi, Sridhar Ramasamy, Mominul Ahsan, & Julfikar Haider. (2021). Induction Heating for Variably Sized Ferrous and Non-Ferrous Materials through Load Modulation. Energies. 14(24). 8354–8354. 7 indexed citations

16.

Ahsan, Mominul, et al.. (2021). Machine Learning Based Vehicle to Grid Strategy for Improving the Energy Performance of Public Buildings. Sustainability. 13(7). 4003–4003. 23 indexed citations

17.

Ramasamy, Sridhar, et al.. (2020). An RF Approach to Modelling Gallium Nitride Power Devices Using Parasitic Extraction. Electronics. 9(12). 2007–2007. 5 indexed citations

18.

Ahsan, Mominul, et al.. (2020). Reliability Assessment of IGBT Through Modelling and Experimental Testing. IEEE Access. 8. 39561–39573. 36 indexed citations

19.

Ahmed, Hafiz, Mominul Ahsan, Mohamed Benbouzid, et al.. (2020). Coordinate Transformation-Free Observer-Based Adaptive Estimation of Distorted Single-Phase Grid Voltage Signal. IEEE Access. 8. 74280–74290. 5 indexed citations

20.

Ahsan, Mominul, et al.. (2020). Development of Novel Big Data Analytics Framework for Smart Clothing. IEEE Access. 8. 146376–146394. 11 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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