Md. Abdul Awal

1.6k total citations
54 papers, 1.1k citations indexed

About

Md. Abdul Awal is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Md. Abdul Awal has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Cognitive Neuroscience. Recurrent topics in Md. Abdul Awal's work include EEG and Brain-Computer Interfaces (7 papers), Artificial Intelligence in Healthcare (5 papers) and Photonic and Optical Devices (4 papers). Md. Abdul Awal is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Artificial Intelligence in Healthcare (5 papers) and Photonic and Optical Devices (4 papers). Md. Abdul Awal collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Md. Abdul Awal's co-authors include Mohiuddin Ahmad, Sheikh Shanawaz Mostafa, Abdullah Al-Mamun Bulbul, M. A. Rashid, Mohammad Ali Moni, Mehedi Masud, Md. Kamrul Hasan, Md. Shahadat Hossain, Saifuddin Mahmud and Jakaria Rabbi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Md. Abdul Awal

52 papers receiving 1.0k citations

Peers

Countries citing papers authored by Md. Abdul Awal

Since Specialization

Citations

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

Fields of papers citing papers by Md. Abdul Awal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Abdul Awal

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Quantum deep learning in neuroinformatics: a systematic review 2025 ·Artificial Intelligence Review ·(unknown), Md. Abdul Awal, Píetro Lió, Ganna Pogrebna, Allen G. Ross, Mohammad Ali Moni	5
2	HepNet: Deep Neural Network for Classification of Early-Stage Hepatic Steatosis Using Microwave Signals 2024 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Md. Abdul Awal, Sasan Ahdi Rezaeieh, Shelley E. Keating, Amin Abbosh, Ali Zamani	1
3	Towards Non-Invasive Liver Health Monitoring: Comprehensive Microwave Dielectric Spectroscopy of Freshly Excised Human Abdominal Tissues 2024 ·IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology ·Md. Abdul Awal, (unknown), Sasan Ahdi Rezaeieh, Graeme A. Macdonald, Amin Abbosh	5
4	Integrating Dielectric Modelling with Machine Learning for Skin Cancer Classification 2024 ·Md. Abdul Awal, (unknown), Amin Abbosh	1
5	A Particle Filter based Visual Object Tracking: A Systematic Review of Current Trends and Research Challenges 2023 ·International Journal of Advanced Computer Science and Applications ·Md. Abdul Awal, (unknown), (unknown), (unknown)	0
6	Prevalence and factors associated with chronic school absenteeism among 207,107 in-school adolescents: Findings from cross-sectional studies in 71 low-middle and high-income countries 2023 ·PLoS ONE ·Md. Ashfikur Rahman, André M. N. Renzaho, Satyajit Kundu, Md. Abdul Awal, (unknown), (unknown), Bright Opoku Ahinkorah, Joshua Okyere, Joseph K. Kamara, Rashidul Alam Mahumud	7
7	Early Prediction of Diabetes Using an Ensemble of Machine Learning Models 2022 ·International Journal of Environmental Research and Public Health ·Aishwariya Dutta, Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal, Md. Akhtarul Islam, Mehedi Masud, Hossam Meshref	65
8	XGB-RF: A Hybrid Machine Learning Approach for IoT Intrusion Detection 2022 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Md. Abdul Awal, (unknown), Sheikh Shanawaz Mostafa	44
9	Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries 2022 ·Frontiers in Cardiovascular Medicine ·Sheikh Mohammed Shariful Islam, Ashis Talukder, Md. Abdul Awal, (unknown), Md. Martuza Ahamad, Benojir Ahammed, Lal Rawal, Roohallah Alizadehsani, Jemal Abawajy, Liliana Laranjo, Clara K Chow, Ralph Maddison	54
10	HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis 2022 ·Computers in Biology and Medicine ·Md Saiful Islam, Md. Abdul Awal, (unknown), (unknown), (unknown), (unknown), Saad Al-Ahmadi, (unknown), Md. Shahadat Hossain, Seyedali Mirjalili	26
11	Machine learning models for classification and identification of significant attributes to detect type 2 diabetes 2022 ·Health Information Science and Systems ·(unknown), Md. Shahriare Satu, Md. Abdul Awal, Md. Rabiul Islam, Sheikh Mohammed Shariful Islam, Julian M.W. Quinn, Mohammad Ali Moni	52
12	OLGBM: Optuna Optimized Light Gradient Boosting Machine for Intrusion Detection 2021 ·(unknown), Md. Abdul Based, (unknown), Muhammad Ali Imran, Mohammad Abdul Azim, Zulfikar Alom, Md. Abdul Awal	3
13	Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images 2021 ·Informatics in Medicine Unlocked ·(unknown), Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal, Md. Tasnim Jawad, Aishwariya Dutta, Md. Rabiul Islam, Mohammad Ali Moni	39
14	Associating Measles Vaccine Uptake Classification and its Underlying Factors Using an Ensemble of Machine Learning Models 2021 ·IEEE Access ·Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Abdul Awal, Md. Akhtarul Islam, Mehedi Masud, Jehad F. Al‐Amri	17
15	Deep Bidirectional LSTM Network Learning-Aided OFDMA Downlink and SC-FDMA Uplink 2021 ·(unknown), (unknown), Md. Abdul Awal, (unknown)	3
16	A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data 2021 ·IEEE Access ·Md. Abdul Awal, Mehedi Masud, Md. Shahadat Hossain, Abdullah Al-Mamun Bulbul, Saifuddin Mahmud, Anupam Kumar Bairagi	51
17	Voiceless Bangla vowel recognition using sEMG signal 2016 ·SpringerPlus ·Sheikh Shanawaz Mostafa, Md. Abdul Awal, Mohiuddin Ahmad, M. A. Rashid	7
18	EEG background features that predict outcome in term neonates with hypoxic ischaemic encephalopathy: A structured review 2015 ·Clinical Neurophysiology ·Md. Abdul Awal, Melissa Lai, Ghasem Azemi, B. Boashash, Paul B. Colditz	71
19	Detection of neonatal EEG burst-suppression using time-frequency matching pursuit 2015 ·Md. Abdul Awal, (unknown), (unknown), Ghasem Azemi, Paul B. Colditz, B. Boashash	1
20	Clench force estimation by surface electromyography for neural prosthesis hand 2012 ·Sheikh Shanawaz Mostafa, Mohiuddin Ahmad, Md. Abdul Awal	6

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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