Mominul Ahsan
- Electrical and Electronic Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Julfikar HaiderMd. NahiduzzamanAlhussein AlbarbarMd. Abdul BasedMd. Omaer Faruq GoniMarcin KowalskiMd. Shamim AnowerMd. Robiul Islam
- Topics
- COVID-19 diagnosis using AI (12 papers)Digital Imaging for Blood Diseases (7 papers)Silicon Carbide Semiconductor Technologies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United KingdomBangladeshPoland
In The Last Decade
Mominul Ahsan
67 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Electrical and Electronic Engineering 476
- Radiology, Nuclear Medicine and Imaging 419
- Artificial Intelligence 376
- Computer Vision and Pattern Recognition 240
- Biomedical Engineering 166
Countries citing papers authored by Mominul Ahsan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifierbreakdown → | 80 |
| 3 | 48 | |
| 4 | 22 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 46 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 49 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 126 | |
| 15 | 15 | |
| 16 | 22 | |
| 17 | 5 | |
| 18 | 36 | |
| 19 | 5 | |
| 20 | 7 |
About Mominul Ahsan
Mominul Ahsan is a scholar working on Radiology, Nuclear Medicine and Imaging, Energy Engineering and Power Technology and Artificial Intelligence, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (12 papers), Digital Imaging for Blood Diseases (7 papers) and Silicon Carbide Semiconductor Technologies (7 papers). The work is most often cited by research in Health Information Management (144 citations), Health Informatics (41 citations) and Radiology, Nuclear Medicine and Imaging (419 citations). Mominul Ahsan has collaborated with scholars based in United Kingdom, Bangladesh and Poland. Frequent co-authors include Julfikar Haider, Md. Nahiduzzaman, Alhussein Albarbar, Md. Abdul Based, Md. Omaer Faruq Goni, Marcin Kowalski, Md. Shamim Anower, Md. Robiul Islam, Eduardo M. G. Rodrigues and Stoyan Stoyanov. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.