Rezaul Haque

758 citations
40 papers · 367 · h-index 11

Impact in

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

Rezaul Haque

33 papers receiving 357 citations

Peers

Rezaul Haque
Comparison fields: 5 of 74
  • Artificial Intelligence 146
  • Health Information Management 16
  • Applied Psychology 14
  • Neurology 18
  • Radiology, Nuclear Medicine and Imaging 45
Replace Muhammed J. A. Patwary with:
Muhammed J. A. Patwary Bangladesh
S. Mohanavalli India
Karim Gasmi Saudi Arabia
Osama R. Shahin Saudi Arabia
M. Safa India
Lassaad Ben Ammar Saudi Arabia
Muhammad Minoar Hossain Bangladesh
Giridhar Reddy Bojja United States
Ahmad Zainul Fanani Indonesia
Francisco Romero United States
Rezaul Haque relative to Muhammed J. A. Patwary Bangladesh Muhammed J. A. Patwary's profile →
Citations per field
00.5×10×15×20×24×
Muhammed J. A. Patwary · 1×
Citations per year

Countries citing papers authored by Rezaul Haque

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rezaul Haque Line = papers co-authored together Rezaul Haque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202365
2 202262
3 202328
4 202418
5 202316
6 202415
7 202315
8 202313
9 202312
10 202511
11 202311
12 202510
13 202410
14 20248
15 20257
16 20237
17 20246
18 20256
19 20246
20 20236

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.

Explore authors with similar magnitude of impact