Huma Naz
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
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- Traditional Chinese Medicine Studies
Papers in
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- Artificial Intelligence in Healthcare 9
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- Retinal Imaging and Analysis 8
- Co-authors
- Sachin Ahuja (5 shared papers)Neelu Jyothi Ahuja (9 shared papers)Asimul Islam (1 shared paper)Md. Imtaiyaz Hassan (1 shared paper)Faizan Ahmad (2 shared papers)Abdül Waheed (1 shared paper)William S. Sly (1 shared paper)Deepak Kumar (1 shared paper)
- Journals
- IEEE Access (2 papers)Scientific Reports (1 paper)Multimedia Tools and Applications (1 paper)Microscopy Research and Technique (1 paper)Artificial Intelligence Review (1 paper)
- Partner nations
- IndiaSaudi ArabiaPakistan
In The Last Decade
Huma Naz
18 papers receiving 369 citations
Huma Naz's Hit Papers
Peers
Comparison fields: 5 of 90
- Health Information Management 236
- Complementary and alternative medicine 46
- Health Informatics 7
- Artificial Intelligence 167
- Radiology, Nuclear Medicine and Imaging 81
Countries citing papers authored by Huma Naz
This map shows the geographic impact of Huma Naz'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 Huma Naz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huma Naz more than expected).
Fields of papers citing papers by Huma Naz
This network shows the impact of papers produced by Huma Naz. 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 Huma Naz. The network helps show where Huma Naz may publish in the future.
Co-authors
The 23 scholars most cited alongside Huma Naz, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning approach for diabetes prediction using PIMA Indian dataset Hit paper breakdown → | 2020 | 208 |
| 2 | 2013 | 67 | |
| 3 | 2020 | 34 | |
| 4 | 2021 | 15 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2016 | 1 | |
| 20 | Renal Clearance and Urinary Excretion of Roxithromycin in Healthy AdultFemale Subjects | 2017 | 0 |
About Huma Naz
Huma Naz is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 22 papers that have together received 399 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Retinal Imaging and Analysis (8 papers), Imbalanced Data Classification Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers), Tuberculosis Research and Epidemiology (2 papers), Retinal Diseases and Treatments (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Health Information Management (236 citations), Complementary and alternative medicine (46 citations), Health Informatics (7 citations), Artificial Intelligence (167 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Huma Naz has collaborated with scholars based in India, Saudi Arabia and Pakistan. Frequent co-authors include Sachin Ahuja, Neelu Jyothi Ahuja, Asimul Islam, Md. Imtaiyaz Hassan, Faizan Ahmad, Abdül Waheed, William S. Sly, Deepak Kumar, Amjad Rehman and Tanzila Saba. Their work appears in journals such as IEEE Access, Scientific Reports, Multimedia Tools and Applications, Microscopy Research and Technique and Artificial Intelligence Review.
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.