Rezaul Haque
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
Papers in
-
- Sentiment Analysis and Opinion Mining 7
- AI in cancer detection 7
- Advanced Text Analysis Techniques 4
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- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Md Babul Islam (12 shared papers)Maidul Islam (1 shared paper)Md Manjurul Ahsan (1 shared paper)Amit Das (1 shared paper)S M Masfequier Rahman Swapno (9 shared papers)Piyush Kumar Pareek (2 shared papers)Keshav Kaushik (6 shared papers)Gunjan Chhabra (5 shared papers)
- Journals
- iScience (2 papers)Computers in Biology and Medicine (1 paper)Information Fusion (1 paper)Computers (3 papers)Informatics in Medicine Unlocked (2 papers)
- Partner nations
- BangladeshUnited StatesItaly
In The Last Decade
Rezaul Haque
28 papers receiving 289 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 123
- Applied Psychology 13
- Health Information Management 10
- Analytical Chemistry 19
- Virology 9
Countries citing papers authored by Rezaul Haque
This map shows the geographic impact of Rezaul Haque'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 Rezaul Haque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rezaul Haque more than expected).
Fields of papers citing papers by Rezaul Haque
This network shows the impact of papers produced by Rezaul Haque. 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 Rezaul Haque. The network helps show where Rezaul Haque may publish in the future.
Co-authors
The 25 scholars most cited alongside Rezaul Haque, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 2023 | 54 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2025 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2025 | 3 |
About Rezaul Haque
Rezaul Haque is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Plant Science, Computer Vision and Pattern Recognition and Social Psychology, having authored 34 papers that have together received 299 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), AI in cancer detection (7 papers), Smart Agriculture and AI (7 papers), COVID-19 diagnosis using AI (4 papers), Advanced Text Analysis Techniques (4 papers), Brain Tumor Detection and Classification (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Leaf Properties and Growth Measurement (3 papers). The work is most often cited by research in Artificial Intelligence (123 citations), Applied Psychology (13 citations), Health Information Management (10 citations), Analytical Chemistry (19 citations) and Virology (9 citations). Rezaul Haque has collaborated with scholars based in Bangladesh, United States and Italy. Frequent co-authors include Md Babul Islam, Maidul Islam, Md Manjurul Ahsan, Amit Das, S M Masfequier Rahman Swapno, Piyush Kumar Pareek, Keshav Kaushik, Gunjan Chhabra, S. M. Nuruzzaman Nobel and Md Junayed Hasan. Their work appears in journals such as iScience, Computers in Biology and Medicine, Information Fusion, Computers and Informatics in Medicine Unlocked.
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.