Nurul Absar

544 total citations
11 papers, 316 citations indexed

About

Nurul Absar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Social Psychology. According to data from OpenAlex, Nurul Absar has authored 11 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Social Psychology. Recurrent topics in Nurul Absar's work include Mental Health via Writing (2 papers), Radioactivity and Radon Measurements (2 papers) and COVID-19 diagnosis using AI (2 papers). Nurul Absar is often cited by papers focused on Mental Health via Writing (2 papers), Radioactivity and Radon Measurements (2 papers) and COVID-19 diagnosis using AI (2 papers). Nurul Absar collaborates with scholars based in Bangladesh, Malaysia and Saudi Arabia. Nurul Absar's co-authors include Talha Bin Emran, Abhijit Pathak, Karl Andersson, Mohammad Shahadat Hossain, Mayeen Uddin Khandaker, Habib Ullah, Abdelmoneim Sulieman, Mohammad Rashed Iqbal Faruque, Mahadi Hasan Miraz and Refat Khan Pathan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Life and Journal of Radiation Research.

In The Last Decade

Nurul Absar

9 papers receiving 287 citations

Peers

Countries citing papers authored by Nurul Absar

Since Specialization

Citations

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

Fields of papers citing papers by Nurul Absar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nurul Absar. 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 Nurul Absar. The network helps show where Nurul Absar may publish in the future.

Co-authorship network of co-authors of Nurul Absar

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Explainable depression detection from low-resource languages using CNN-BiLSTM with deep attention mechanism 2025 ·Nurul Absar, (unknown), (unknown)	0
2	Transformer and Deep Learning-based Depression Detection from Low-Resource Language 2025 ·Nurul Absar, (unknown), (unknown), (unknown)	0
3	Semi-Supervised Based Bangla Fake Review Detection: A Comparative Analysis 2025 ·Nurul Absar, Tanjim Mahmud, (unknown), Mohammad Shahadat Hossain	1
4	Cyberbullying Detection from Bangla Text Using Cascaded Deep Hybrid Network 2024 ·Nurul Absar, (unknown)	2
5	Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study 2024 ·BMC Medical Imaging ·(unknown), (unknown), Mohammed Alharbi, (unknown), (unknown), (unknown), Nurul Absar, Mayeen Uddin Khandaker, (unknown)	2
6	The Efficacy of Machine-Learning-Supported Smart System for Heart Disease Prediction 2022 ·Healthcare ·Nurul Absar, (unknown), (unknown), Mayeen Uddin Khandaker, Mahadi Hasan Miraz, Mohammad Rashed Iqbal Faruque, Nissren Tamam, Abdelmoneim Sulieman, Refat Khan Pathan	38
7	Development of a computer-aided tool for detection of COVID-19 pneumonia from CXR images using machine learning algorithm 2022 ·SHILAP Revista de lepidopterología ·Nurul Absar, (unknown), (unknown), Talha Bin Emran, Mayeen Uddin Khandaker, (unknown), Hamid Osman, (unknown), (unknown)	22
8	The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases 2021 ·Infectious Disease Modelling ·Nurul Absar, (unknown), Mayeen Uddin Khandaker, Habib Ullah	33
9	Radionuclides Transfer from Soil to Tea Leaves and Estimation of Committed Effective Dose to the Bangladesh Populace 2021 ·Life ·Nurul Absar, (unknown), (unknown), (unknown), (unknown), Masud Kamal, M. I. Chowdhury, Abdelmoneim Sulieman, Mohammad Rashed Iqbal Faruque, Mayeen Uddin Khandaker, D.A. Bradley, Abdullah Saad Alsubaie	17
10	IoT Based Real-time River Water Quality Monitoring System 2019 ·Procedia Computer Science ·(unknown), Talha Bin Emran, (unknown), Abhijit Pathak, (unknown), Nurul Absar, Karl Andersson, Mohammad Shahadat Hossain	193
11	Natural and anthropogenic radioactivity levels and the associated radiation hazard in the soil of Oodalia Tea Estate in the hilly region of Fatickchari in Chittagong, Bangladesh 2014 ·Journal of Radiation Research ·Nurul Absar, (unknown), Masud Kamal, Nazmul Siddique, M. I. Chowdhury	8

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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