Muhammad E. H. Chowdhury

12.7k citations

285 papers · 7.6k indexed · 6 hit papers · h-index 39

Radiology, Nuclear Medicine and Imaging top 0.2%
Artificial Intelligence top 0.5%
Biomedical Engineering top 2%
Computer Vision and Pattern Recognition top 1%
Pulmonary and Respiratory Medicine top 5%

Co-authors: Amith Khandakar Mohammad Tariqul Islam Tawsifur Rahman Mamun Bin Ibne Reaz Muhammad Salman Khan Zaid Bin Mahbub Khandaker Reajul Islam Muhammad Abdul Kadir
Topics: COVID-19 diagnosis using AI (36 papers)Non-Invasive Vital Sign Monitoring (32 papers)EEG and Brain-Computer Interfaces (27 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Artificial Intelligence
Journals: SHILAP Revista de lepidopterologíaNeuroImage Scientific Reports
Partner nations: Qatar Bangladesh Malaysia

In The Last Decade

Muhammad E. H. Chowdhury

253 papers receiving 7.3k citations

Hit Papers

5 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 →
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

2021 672 citations Tawsifur Rahman, Amith Khandakar et al. Computers in Biology and Medicine 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 →
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

2021 213 citations Muhammad E. H. Chowdhury, Tawsifur Rahman et al. profile →
COVID-19 infection localization and severity grading from chest X-ray images

2022 116 citations Anas Tahir, Muhammad E. H. Chowdhury et al. Qatar University QSpace (Qatar University) profile →

Peers

Countries citing papers authored by Muhammad E. H. Chowdhury

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad E. H. Chowdhury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad E. H. Chowdhury. 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 Muhammad E. H. Chowdhury. The network helps show where Muhammad E. H. Chowdhury may publish in the future.

Co-authorship network of co-authors of Muhammad E. H. Chowdhury

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Net energy–cost optimization of STPV–PDRC integrated greenhouses: Balancing energy production and cooling demand under crop-specific DLI constraints 2025 ·Energy Conversion and Management ·(unknown),(unknown),Muhammad E. H. Chowdhury,Ali Arefi,(unknown)	0
2	Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD 2025 ·Medical & Biological Engineering & Computing ·Md. Ahasan Atick Faisal,(unknown),Sakib Mahmud,Anas Tahir,Muhammad E. H. Chowdhury,Fayçal Bensaali,(unknown),Mehmet Metin Yavuz,Ayman El‐Menyar,(unknown),Huseyin C. Yalcin	1
3	Bariatric metabolic surgery and cancer risk: Target trial emulation using iterative time distribution matching 2025 ·Biomolecules and Biomedicine ·Jazeel Abdulmajeed,Zumin Shi,Manar E. Abdel‐Rahman,(unknown),M Fasihul Alam,Mashael Al‐Shafai,Muhammad E. H. Chowdhury,Abdullah Shaito,Adedayo A. Onitilo,Suhail A.R. Doi	0
4	A novel dataset of Gupta archer type coins for machine learning-based classification 2024 ·Data in Brief ·(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),Muhammad E. H. Chowdhury	1
5	ECCDN-Net: A deep learning-based technique for efficient organic and recyclable waste classification 2024 ·Waste Management ·(unknown),(unknown),(unknown),Saad Bin Abul Kashem,(unknown),(unknown),Amith Khandakar,(unknown),(unknown),Muhammad E. H. Chowdhury	6
6	QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning 2024 ·IEEE Access ·(unknown),Moajjem Hossain Chowdhury,Muhammad E. H. Chowdhury,Khalid Abualsaud,Elias Yaacoub,Md. Ahasan Atick Faisal,(unknown),(unknown),(unknown),(unknown),Sakib Mahmud,Nizar Zorba	4
7	Enhancing Influenza Detection through Integrative Machine Learning and Nasopharyngeal Metabolomic Profiling: A Comprehensive Study 2024 ·Diagnostics ·(unknown),(unknown),Haya Al‐Sulaiti,Hadi M. Yassine,Muhammad E. H. Chowdhury	2
8	Stress transfer, stress shielding, and micro-movement analysis in the implanted femoral bone region with various hip implant stem materials: A finite element approach 2024 ·Materials Today Communications ·(unknown),Sakib Mahmud,Muhammad E. H. Chowdhury,Touhidul Alam,(unknown),Norbahiah Misran,Mohamed S. Soliman,Mohammad Tariqul Islam	2
9	A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients 2024 ·Computers in Biology and Medicine ·(unknown),Khandaker Reajul Islam,Jaya Kumar,Toh Leong Tan,Mamun Bin Ibne Reaz,Tawsifur Rahman,Susu M. Zughaier,Muhammad Salman Khan,M. Murugappan,Muhammad E. H. Chowdhury	2
10	Anodization and nonstructural surface characterizations of fabricated Ti–29Nb–13Ta–7.1Zr alloy for biomedical applications and its mechanical, wettability, tribological, and corrosion properties 2023 ·Materials Chemistry and Physics ·Masoud Sarraf,Farayi Musharavati,Fadi Jaber,(unknown),E. Zalnezhad,(unknown),Sungchul Bae,Muhammad E. H. Chowdhury,Ali Dabbagh	3
11	Oxygen releasing patches based on carbohydrate polymer and protein hydrogels for diabetic wound healing: A review 2023 ·International Journal of Biological Macromolecules ·(unknown),(unknown),Muhammad E. H. Chowdhury,Hany E. Marei,(unknown),Mahbub Hassan,Muhammad Rizwan,Vincent G. Gomes,Alidad Amirfazli,Anwarul Hasan	28
12	NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern 2023 ·Applied Intelligence ·Md. Ahasan Atick Faisal,Muhammad E. H. Chowdhury,Zaid Bin Mahbub,Shona Pedersen,Mosabber Uddin Ahmed,Amith Khandakar,Mohammed Alhatou,(unknown),Iffat Ara,(unknown),Sakib Mahmud,(unknown)	15
13	Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions 2023 ·Diagnostics ·(unknown),Somaya Al-Máadeed,Susu M. Zughaier,Omar Elharrouss,(unknown),Muhammad E. H. Chowdhury,Ahmed Bouridane	11
14	MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals 2023 ·Bioengineering ·Md Shafayet Hossain,Sakib Mahmud,Amith Khandakar,Nasser Al‐Emadi,(unknown),Zaid Bin Mahbub,Mamun Bin Ibne Reaz,Muhammad E. H. Chowdhury	18
15	Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model 2023 ·Diagnostics ·(unknown),(unknown),(unknown),Muhammad E. H. Chowdhury,Mosabber Uddin Ahmed,Jaya Kumar,M. Murugappan,Muhammad Salman Khan	12
16	A Deep Learning-Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection Using Computed Tomography Images 2023 ·Diagnostics ·(unknown),Muhammad E. H. Chowdhury,(unknown),(unknown),(unknown),Abdulrahman Alqahtani,M. Murugappan,Amith Khandakar,(unknown),Md. Nahiduzzaman	11
17	GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management 2023 ·Waste Management ·(unknown),(unknown),(unknown),(unknown),(unknown),Saad Bin Abul Kashem,(unknown),Amith Khandakar,Sakib Mahmud,Muhammad E. H. Chowdhury	25
18	A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN 2023 ·Expert Systems with Applications ·(unknown),(unknown),Muhammad E. H. Chowdhury,Nasser Al‐Emadi,Huseyin C. Yalcin,Shona Pedersen,Sakib Mahmud,Serkan Kıranyaz,Somaya Al-Máadeed	22
19	COVID-19 infection localization and severity grading from chest X-ray imagesbreakdown → 2022 ·Qatar University QSpace (Qatar University) ·Anas Tahir,Muhammad E. H. Chowdhury,Amith Khandakar,Tawsifur Rahman,Yazan Qiblawey,(unknown),Serkan Kıranyaz,Nabil Ibtehaz,(unknown),Somaya Al-Máadeed,Sakib Mahmud,Maymouna Ezeddin,(unknown),Tahir Hamid	116
20	Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network 2022 ·Qatar University QSpace (Qatar University) ·(unknown),Serkan Kıranyaz,Türker İnce,Özer Can Devecioğlu,Muhammad E. H. Chowdhury,Amith Khandakar,Anas Tahir,Moncef Gabbouj	61

About Muhammad E. H. Chowdhury

Muhammad E. H. Chowdhury is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Cognitive Neuroscience, having authored 285 papers that have together received 7.6k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (36 papers), Non-Invasive Vital Sign Monitoring (32 papers) and EEG and Brain-Computer Interfaces (27 papers). The work is most often cited by research in Health Informatics (384 citations), Radiology, Nuclear Medicine and Imaging (3.3k citations) and Artificial Intelligence (2.3k citations). Muhammad E. H. Chowdhury has collaborated with scholars based in Qatar, Bangladesh and Malaysia. Frequent co-authors include Amith Khandakar, Mohammad Tariqul Islam, Tawsifur Rahman, Mamun Bin Ibne Reaz, Muhammad Salman Khan, Zaid Bin Mahbub, Khandaker Reajul Islam, Muhammad Abdul Kadir, Serkan Kıranyaz and Saad Bin Abul Kashem. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

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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