Md Al Amin
- Animal Science and Zoology top 5%
- Food Science top 10%
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- Identification and Quantification in Food 5
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- Environmental DNA in Biodiversity Studies 2
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- Radiomics and Machine Learning in Medical Imaging 2
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- Vehicle License Plate Recognition 2
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- AI in cancer detection 2
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- Network Security and Intrusion Detection 2
- IoT and Edge/Fog Computing 2
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- Heart Failure Treatment and Management 2
- Co-authors
- Md. Eaqub AliMd. Abdur RazzakSharifah Bee Abd HamidMd Mahfujur RahmanAsingShuhaimi MustafaZeyar AungMohammad Abdul Azim
- Journals
- Food Additives & Contaminants Part A (2 papers)Food Analytical Methods (2 papers)Food Chemistry (1 paper)
- Partner nations
- BangladeshMalaysiaUnited States
In The Last Decade
Md Al Amin
19 papers receiving 321 citations
Peers
Comparison fields: 5 of 74
- Animal Science and Zoology 115
- Food Science 100
- Health Informatics 5
- Molecular Biology 246
- Ecology 68
Countries citing papers authored by Md Al Amin
This map shows the geographic impact of Md Al Amin'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 Md Al Amin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Al Amin more than expected).
Fields of papers citing papers by Md Al Amin
This network shows the impact of papers produced by Md Al Amin. 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 Md Al Amin. The network helps show where Md Al Amin may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Md Al Amin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 29 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 35 | |
| 17 | 2015 | 18 | |
| 18 | 2015 | 173 | |
| 19 | 2015 | 23 | |
| 20 | Full-length, live, adult filarial worm in a fine needle aspirate of an epididymal nodule. | 1995 | 2 |
About Md Al Amin
Md Al Amin is a scholar working on Biological Psychiatry, Media Technology and Pharmacy, having authored 21 papers that have together received 347 indexed citations. Recurring topics across this work include Identification and Quantification in Food (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Vehicle License Plate Recognition (2 papers), AI in cancer detection (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Network Security and Intrusion Detection (2 papers), IoT and Edge/Fog Computing (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Animal Science and Zoology (115 citations), Food Science (100 citations) and Health Informatics (5 citations). Md Al Amin has collaborated with scholars based in Bangladesh, Malaysia and United States. Frequent co-authors include Md. Eaqub Ali, Md. Abdur Razzak, Sharifah Bee Abd Hamid, Md Mahfujur Rahman, Asing, Shuhaimi Mustafa, Zeyar Aung, Mohammad Abdul Azim, Chetna Kaushal and Subha Bhassu. Their work appears in journals such as Food Additives & Contaminants Part A, Food Analytical Methods, Food Chemistry, Array and SHILAP Revista de lepidopterología.
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.