Rezaul Haque
Impact in
- Artificial Intelligence top 10%
- AI in cancer detection
- Sentiment Analysis and Opinion Mining
- Health Information Management top 10%
Papers in
-
- AI in cancer detection 8
- Sentiment Analysis and Opinion Mining 7
- Advanced Text Analysis Techniques 4
-
- Smart Agriculture and AI 9
- Leaf Properties and Growth Measurement 3
- Co-authors
- Md Babul Islam (13 shared papers)Amit Das (1 shared paper)Md Manjurul Ahsan (1 shared paper)Maidul Islam (1 shared paper)S M Masfequier Rahman Swapno (9 shared papers)Keshav Kaushik (6 shared papers)Gunjan Chhabra (5 shared papers)Piyush Kumar Pareek (2 shared papers)
- Journals
- iScience (2 papers)Information Fusion (1 paper)Computers in Biology and Medicine (1 paper)Digital Health (1 paper)Scientific Reports (1 paper)
- Partner nations
- BangladeshUnited StatesItaly
In The Last Decade
Rezaul Haque
33 papers receiving 357 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 146
- Health Information Management 16
- Applied Psychology 14
- Neurology 18
- Radiology, Nuclear Medicine and Imaging 45
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 65 | |
| 2 | 2022 | 62 | |
| 3 | 2023 | 28 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 16 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2025 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2025 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2025 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 6 |
About Rezaul Haque
Rezaul Haque is a scholar working on Artificial Intelligence, Plant Science, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology, having authored 40 papers that have together received 367 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), AI in cancer detection (8 papers), Sentiment Analysis and Opinion Mining (7 papers), Brain Tumor Detection and Classification (4 papers), COVID-19 diagnosis using AI (4 papers), Advanced Text Analysis Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers) and Leaf Properties and Growth Measurement (3 papers). The work is most often cited by research in Artificial Intelligence (146 citations), Health Information Management (16 citations), Applied Psychology (14 citations), Neurology (18 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Rezaul Haque has collaborated with scholars based in Bangladesh, United States and Italy. Frequent co-authors include Md Babul Islam, Amit Das, Md Manjurul Ahsan, Maidul Islam, S M Masfequier Rahman Swapno, Keshav Kaushik, Gunjan Chhabra, Piyush Kumar Pareek, S. M. Nuruzzaman Nobel and Md Junayed Hasan. Their work appears in journals such as iScience, Information Fusion, Computers in Biology and Medicine, Digital Health 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.