Rezaul Haque

607 total citations
34 papers, 299 citations indexed

About

Rezaul Haque is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Plant Science. According to data from OpenAlex, Rezaul Haque has authored 34 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Plant Science. Recurrent topics in Rezaul Haque's work include Sentiment Analysis and Opinion Mining (7 papers), AI in cancer detection (7 papers) and Smart Agriculture and AI (7 papers). Rezaul Haque is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), AI in cancer detection (7 papers) and Smart Agriculture and AI (7 papers). Rezaul Haque collaborates with scholars based in Bangladesh, United States and Italy. Rezaul Haque's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Fusion and Computers in Biology and Medicine.

In The Last Decade

Rezaul Haque

28 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rezaul Haque Bangladesh 11 123 54 40 37 35 34 299
S. Mohanavalli India 8 98 0.8× 20 0.4× 30 0.8× 33 0.9× 42 1.2× 24 283
S. Karpagavalli India 10 133 1.1× 20 0.4× 20 0.5× 53 1.4× 9 0.3× 26 284
Muhammad Usama Islam United States 11 65 0.5× 28 0.5× 21 0.5× 97 2.6× 8 0.2× 24 319
Lassaad Ben Ammar Saudi Arabia 8 66 0.5× 68 1.3× 57 1.4× 45 1.2× 4 0.1× 32 273
Anditya Arifianto Indonesia 9 123 1.0× 13 0.2× 15 0.4× 77 2.1× 4 0.1× 32 298
Vinay Jain India 8 151 1.2× 8 0.1× 7 0.2× 40 1.1× 13 0.4× 19 281
Amita Dev India 9 167 1.4× 10 0.2× 7 0.2× 39 1.1× 10 0.3× 76 288
Vivek Bhardwaj India 8 103 0.8× 35 0.6× 5 0.1× 20 0.5× 2 0.1× 46 274
Faisal Bin Ashraf Bangladesh 9 96 0.8× 13 0.2× 19 0.5× 96 2.6× 5 0.1× 40 302
Liyakathunisa Syed Saudi Arabia 8 67 0.5× 9 0.2× 14 0.3× 57 1.5× 9 0.3× 22 243

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-authorship network of co-authors of Rezaul Haque

This figure shows the co-authorship network connecting the top 25 collaborators of Rezaul Haque. A scholar is included among the top collaborators of Rezaul Haque based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rezaul Haque. Rezaul Haque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Haque, Rezaul, et al.. (2026). Ensemble transformer with post-hoc explanations for depression emotion and severity detection. iScience. 29(2). 114605–114605.
2.
Rahman, Hameedur, et al.. (2025). LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis. Informatics in Medicine Unlocked. 57. 101669–101669. 3 indexed citations
3.
Haque, Rezaul, et al.. (2025). Explainable deep stacking ensemble model for accurate and transparent brain tumor diagnosis. Computers in Biology and Medicine. 191. 110166–110166. 8 indexed citations
4.
Rahman, Hameedur, et al.. (2025). Hierarchical Swin Transformer Ensemble with Explainable AI for Robust and Decentralized Breast Cancer Diagnosis. Bioengineering. 12(6). 651–651. 7 indexed citations
5.
Haque, Rezaul, et al.. (2025). Vision-audio multimodal object recognition using hybrid and tensor fusion techniques. Information Fusion. 126. 103667–103667.
6.
Rahman, Hameedur, Muhammad Ali Khan, S M Masfequier Rahman Swapno, et al.. (2025). Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI. Informatics in Medicine Unlocked. 56. 101657–101657. 4 indexed citations
7.
Swapno, S M Masfequier Rahman, et al.. (2025). Explainable transformer framework for fast cotton leaf diagnostics and fabric defect detection. iScience. 29(2). 114411–114411.
8.
9.
Swapno, S M Masfequier Rahman, et al.. (2024). IoT-Enabled Smart Manhole Management System for Real-time Status, Water Level, and Gas Detection. 1–7. 13 indexed citations
10.
Haque, Rezaul, et al.. (2024). Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning. SHILAP Revista de lepidopterología. 4(2). 966–991. 11 indexed citations
11.
Islam, Md. Ariful, et al.. (2024). Effective Disease Recognition in Cucumbers: A Web-Based Application Using Transfer Learning Models. 59–64. 1 indexed citations
12.
13.
Nobel, S. M. Nuruzzaman, et al.. (2024). Hybrid CNN LSTM Approach for Sentiment Analysis of Bengali Language Comment on Facebook. 1–8. 10 indexed citations
14.
Haque, Rezaul, et al.. (2024). Parasitology Unveiled: Revolutionizing Microorganism Classification Through Deep Learning. 1163–1168. 2 indexed citations
15.
Haque, Rezaul, et al.. (2023). Data-Driven Solution to Identify Sentiments from Online Drug Reviews. Computers. 12(4). 87–87. 14 indexed citations
16.
Haque, Rezaul, et al.. (2023). Improving Drug Review Categorization Using Sentiment Analysis and Machine Learning. 1–6. 27 indexed citations
17.
Haque, Rezaul, et al.. (2023). Deep Learning for Multi-Labeled Cyberbully Detection: Enhancing Online Safety. 1–6. 16 indexed citations
18.
Haque, Rezaul, et al.. (2023). Multi-class sentiment classification on Bengali social media comments using machine learning. SHILAP Revista de lepidopterología. 4. 21–35. 54 indexed citations
19.
20.
Haque, Rezaul, et al.. (2022). A Machine Learning Based Approach to Analyze Food Reviews from Bengali Text. 15. 80–83. 3 indexed citations

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.

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