Zaid Bin Mahbub

3.6k total citations · 3 hit papers
27 papers, 2.3k citations indexed

About

Zaid Bin Mahbub is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Zaid Bin Mahbub has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Zaid Bin Mahbub's work include Lipid Membrane Structure and Behavior (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Advanced MRI Techniques and Applications (5 papers). Zaid Bin Mahbub is often cited by papers focused on Lipid Membrane Structure and Behavior (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Advanced MRI Techniques and Applications (5 papers). Zaid Bin Mahbub collaborates with scholars based in Bangladesh, Qatar and Malaysia. Zaid Bin Mahbub's co-authors include Amith Khandakar, Muhammad E. H. Chowdhury, Muhammad Abdul Kadir, Tawsifur Rahman, Khandaker Reajul Islam, Rashid Mazhar, Mohammad Tariqul Islam, Mamun Bin Ibne Reaz, Muhammad Salman Khan and Atif Iqbal and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and IEEE Access.

In The Last Decade

Zaid Bin Mahbub

26 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Can AI Help in Screening Viral and COVID-19 Pneumonia?

2020 1.2k citations Muhammad E. H. Chowdhury, Tawsifur Rahman et al. IEEE Access profile →
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

2020 394 citations Tawsifur Rahman, Muhammad E. H. Chowdhury et al. profile →
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization

2020 375 citations Tawsifur Rahman, Amith Khandakar et al. IEEE Access profile →

Peers

Zaid Bin Mahbub

RNMI

CVPR

PRM

Muhammad Abdul Kadir Bangladesh

Khandaker Reajul Islam Qatar

Tawsifur Rahman Qatar

Muhammed Talo Türkiye

Marios Anthimopoulos Switzerland

Bikesh Kumar Singh India

Omneya Attallah Egypt

Muhammad Sharif Pakistan

Fahime Khozeimeh Iran

Angelica I. Avilés-Rivero United Kingdom

Muhammad Abdul Kadir Bangladesh

Zaid Bin Mahbub

1.7k ×1.0

RNMI

1.1k ×1.0

344 ×1.0

CVPR

331 ×1.0

PRM

192 ×0.8

Citations per year, relative to Zaid Bin Mahbub Zaid Bin Mahbub (= 1×) peers Muhammad Abdul Kadir

Countries citing papers authored by Zaid Bin Mahbub

Since Specialization

Citations

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

Fields of papers citing papers by Zaid Bin Mahbub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zaid Bin Mahbub. 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 Zaid Bin Mahbub. The network helps show where Zaid Bin Mahbub may publish in the future.

Co-authorship network of co-authors of Zaid Bin Mahbub

This figure shows the co-authorship network connecting the top 25 collaborators of Zaid Bin Mahbub. A scholar is included among the top collaborators of Zaid Bin Mahbub 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 Zaid Bin Mahbub. Zaid Bin Mahbub 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

Mahmud, Sakib, Muhammad E. H. Chowdhury, Moajjem Hossain Chowdhury, et al.. (2024). Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imaging. Engineering Applications of Artificial Intelligence. 133. 108483–108483. 2 indexed citations

Faisal, Md. Ahasan Atick, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, et al.. (2023). NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern. Applied Intelligence. 53(17). 20034–20046. 15 indexed citations

Hossain, Md Shafayet, Sakib Mahmud, Amith Khandakar, et al.. (2023). MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering. 10(5). 579–579. 18 indexed citations

Ezeddin, Maymouna, Muhammad E. H. Chowdhury, Anas Tahir, et al.. (2023). Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. Sensors. 23(16). 7156–7156. 26 indexed citations

Sharmin, Sabrina, et al.. (2023). Increase in conduction velocity in myelinated nerves due to stretch – An experimental verification. Frontiers in Neuroscience. 17. 1084004–1084004. 1 indexed citations

Rahman, Tawsifur, Muhammad E. H. Chowdhury, Amith Khandakar, et al.. (2023). BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. Neural Computing and Applications. 35(24). 17461–17483. 17 indexed citations

Khandakar, Amith, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, et al.. (2022). Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors. 22(5). 1793–1793. 28 indexed citations

Khandakar, Amith, Sakib Mahmud, Muhammad E. H. Chowdhury, et al.. (2022). Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature. Sensors. 22(19). 7599–7599. 36 indexed citations

Chowdhury, Muhammad E. H., Mamun Bin Ibne Reaz, Amith Khandakar, et al.. (2022). Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals. Biomedical Signal Processing and Control. 81. 104448–104448. 20 indexed citations

10.

Mahmud, Sakib, Amith Khandakar, Muhammad E. H. Chowdhury, et al.. (2022). Fiber Bragg Gratings based smart insole to measure plantar pressure and temperature. Sensors and Actuators A Physical. 350. 114092–114092. 17 indexed citations

11.

Chowdhury, Moajjem Hossain, Md Shafayet Hossain, Muhammad E. H. Chowdhury, et al.. (2021). A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model. IEEE Access. 9. 96775–96790. 41 indexed citations

12.

Karal, Mohammad Abu Sayem, et al.. (2021). A new purification technique to obtain specific size distribution of giant lipid vesicles using dual filtration. PLoS ONE. 16(7). e0254930–e0254930. 6 indexed citations

13.

Rahman, Tawsifur, Amith Khandakar, Muhammad Abdul Kadir, et al.. (2020). Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. IEEE Access. 8. 191586–191601. 375 indexed citations breakdown →

14.

Karal, Mohammad Abu Sayem, et al.. (2020). Deformation and poration of giant unilamellar vesicles induced by anionic nanoparticles. Chemistry and Physics of Lipids. 230. 104916–104916. 19 indexed citations

15.

Chowdhury, Muhammad E. H., Tawsifur Rahman, Amith Khandakar, et al.. (2020). Can AI Help in Screening Viral and COVID-19 Pneumonia?. IEEE Access. 8. 132665–132676. 1167 indexed citations breakdown →

16.

Karal, Mohammad Abu Sayem, et al.. (2019). Study of molecular transport through a single nanopore in the membrane of a giant unilamellar vesicle using COMSOL simulation. European Biophysics Journal. 49(1). 59–69. 25 indexed citations

17.

Gómez, Pedro A., Mohammad Golbabaee, Zaid Bin Mahbub, et al.. (2019). Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: An alternative to conventional spiral MR Fingerprinting. Magnetic Resonance Imaging. 61. 20–32. 9 indexed citations

18.

Gómez, Pedro A., Mohammad Golbabaee, Zaid Bin Mahbub, et al.. (2018). Balanced multi-shot EPI for accelerated Cartesian MR Fingerprinting: An alternative to spiral MR Fingerprinting. Edinburgh Research Explorer (University of Edinburgh). 1 indexed citations

19.

Rabbani, K Siddique-e, et al.. (2016). Brain tumor identification through microstructure study using MRI. 61 2. 1–4. 1 indexed citations

20.

Mahbub, Zaid Bin & K Siddique-e Rabbani. (2007). Frequency Domain Analysis to Identify Neurological Disorders from Evoked EMG Responses. Journal of Biological Physics. 33(2). 99–108. 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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