Md. Rezwanul Haque

1.0k total citations
14 papers, 665 citations indexed

About

Md. Rezwanul Haque is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Md. Rezwanul Haque has authored 14 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Health Information Management. Recurrent topics in Md. Rezwanul Haque's work include ECG Monitoring and Analysis (3 papers), Artificial Intelligence in Healthcare (3 papers) and AI in cancer detection (3 papers). Md. Rezwanul Haque is often cited by papers focused on ECG Monitoring and Analysis (3 papers), Artificial Intelligence in Healthcare (3 papers) and AI in cancer detection (3 papers). Md. Rezwanul Haque collaborates with scholars based in Bangladesh, Canada and United States. Md. Rezwanul Haque's co-authors include Md. Milon Islam, Hasib Iqbal, Md. Kamrul Hasan, Muhammad Nomani Kabir, Md. Munirul Hasan, Mahmudul Hasan, S. M. Taslim Uddin Raju, Amanullah Asraf, Md. Zabirul Islam and Laboni Akter and has published in prestigious journals such as IEEE Access, Biomedical Signal Processing and Control and Plant Stress.

In The Last Decade

Md. Rezwanul Haque

11 papers receiving 632 citations

Peers

Countries citing papers authored by Md. Rezwanul Haque

Since Specialization

Citations

This map shows the geographic impact of Md. Rezwanul 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 Md. Rezwanul Haque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Rezwanul Haque more than expected).

Fields of papers citing papers by Md. Rezwanul Haque

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Rezwanul 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 Md. Rezwanul Haque. The network helps show where Md. Rezwanul Haque may publish in the future.

Co-authorship network of co-authors of Md. Rezwanul Haque

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Rezwanul Haque. A scholar is included among the top collaborators of Md. Rezwanul 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 Md. Rezwanul Haque. Md. Rezwanul Haque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	FusionEnsembleNet: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition 2025 ·(unknown), Md. Rezwanul Haque, (unknown), (unknown)	0
2	A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition 2025 ·Md. Rezwanul Haque, (unknown), (unknown), (unknown)	0
3	MMFformer: Multimodal Fusion Transformer Network for Depression Detection 2025 ·Md. Rezwanul Haque, (unknown), (unknown), Hamdi Altaheri, (unknown), (unknown)	0
4	Plant response to combined salinity and waterlogging stress: Current research progress and future prospects 2023 ·Plant Stress ·Md. Tahjib‐Ul‐Arif, (unknown), Md. Arifur Rahman, (unknown), (unknown), Md. Hasanuzzaman, Md. Rezwanul Haque, M. Afzal Hossain, Arafat Abdel Hamed Abdel Latef, Yoshiyuki Murata, Marián Brestič	18
5	Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic 2021 ·SN Computer Science ·(unknown), Md. Milon Islam, Saifuddin Mahmud, Sheikh Nooruddin, S. M. Taslim Uddin Raju, Md. Rezwanul Haque	38
6	Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model 2021 ·Biomedical Signal Processing and Control ·(unknown), S. M. Taslim Uddin Raju, Md. Rezwanul Haque, M. M. A. Hashem	24
7	Corrections to “A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models” 2021 ·IEEE Access ·Md. Rezwanul Haque, S. M. Taslim Uddin Raju, (unknown), M. M. A. Hashem	2
8	Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques 2021 ·SN Computer Science ·Laboni Akter, (unknown), Md. Milon Islam, Mabrook Al‐Rakhami, Md. Rezwanul Haque	53
9	A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models 2021 ·IEEE Access ·Md. Rezwanul Haque, S. M. Taslim Uddin Raju, (unknown), M. M. A. Hashem	18
10	Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic 2020 ·SN Computer Science ·Amanullah Asraf, Md. Zabirul Islam, Md. Rezwanul Haque, Md. Milon Islam	63
11	Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques 2020 ·SN Computer Science ·Md. Milon Islam, Md. Rezwanul Haque, Hasib Iqbal, Md. Munirul Hasan, Mahmudul Hasan, Muhammad Nomani Kabir	220
12	A Computer Vision based Lane Detection Approach 2019 ·International Journal of Image Graphics and Signal Processing ·Md. Rezwanul Haque, Md. Milon Islam, (unknown), Hasib Iqbal	34
13	Performance Evaluation of Random Forests and Artificial Neural Networks for the Classification of Liver Disorder 2018 ·Md. Rezwanul Haque, Md. Milon Islam, Hasib Iqbal, (unknown), Md. Kamrul Hasan	65
14	Prediction of breast cancer using support vector machine and K-Nearest neighbors 2017 ·Md. Milon Islam, Hasib Iqbal, Md. Rezwanul Haque, Md. Kamrul Hasan	130

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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