Amina Asif
Impact in
Papers in
-
- Machine Learning in Bioinformatics 3
- Protein Structure and Dynamics 2
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- AI in cancer detection 5
- Co-authors
- Fayyaz Minhas (15 shared papers)Wajid Arshad Abbasi (2 shared papers)Nasir Rajpoot (5 shared papers)Gavin J. Knott (1 shared paper)Anthony T. Iavarone (1 shared paper)Jennifer A. Doudna (1 shared paper)Kyle E. Watters (1 shared paper)Asa Ben‐Hur (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Neural Computing and Applications (2 papers)The Journal of Pathology (1 paper)Pattern Recognition Letters (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- PakistanUnited KingdomUnited States
In The Last Decade
Amina Asif
25 papers receiving 344 citations
Peers
Comparison fields: 5 of 82
- Business and International Management 13
- Health Informatics 7
- Atmospheric Science 51
- Family Practice 4
- Aging 4
Countries citing papers authored by Amina Asif
This map shows the geographic impact of Amina Asif'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 Amina Asif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amina Asif more than expected).
Fields of papers citing papers by Amina Asif
This network shows the impact of papers produced by Amina Asif. 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 Amina Asif. The network helps show where Amina Asif may publish in the future.
Co-authors
The 25 scholars most cited alongside Amina Asif, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2019 | 40 | |
| 3 | 2020 | 40 | |
| 4 | 2018 | 28 | |
| 5 | 2018 | 27 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 23 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2024 | 1 | |
| 20 | A generalized meta-loss function for distillation and learning using privileged information for classification and regression | 2018 | 1 |
About Amina Asif
Amina Asif is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases and General Health Professions, having authored 30 papers that have together received 351 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Machine Learning in Bioinformatics (3 papers), Flood Risk Assessment and Management (2 papers), Mobile Health and mHealth Applications (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Business and International Management (13 citations), Health Informatics (7 citations), Atmospheric Science (51 citations), Family Practice (4 citations) and Aging (4 citations). Amina Asif has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Fayyaz Minhas, Wajid Arshad Abbasi, Nasir Rajpoot, Gavin J. Knott, Anthony T. Iavarone, Jennifer A. Doudna, Kyle E. Watters, Asa Ben‐Hur, Saiqa Andleeb and Mark DeMaria. Their work appears in journals such as Nucleic Acids Research, Neural Computing and Applications, The Journal of Pathology, Pattern Recognition Letters and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.