Mohammad Ali Moni

51.2k citations

309 papers · 9.8k indexed · 12 hit papers · h-index 53

Health Information Management top 0.05%
- Artificial Intelligence in Healthcare 27
Health Informatics top 0.5%
Neurology top 2%
Artificial Intelligence top 0.5%
- Machine Learning in Healthcare 20
Radiology, Nuclear Medicine and Imaging top 1%
- COVID-19 diagnosis using AI 21
Molecular Biology
- Bioinformatics and Genomic Networks 41
- Machine Learning in Bioinformatics 24
Infectious Diseases
- COVID-19 Clinical Research Studies 20
- SARS-CoV-2 and COVID-19 Research 19
Computational Theory and Mathematics
- Computational Drug Discovery Methods 17

Co-authors: Shahadat Uddin Arif Khan Píetro Lió Julian M.W. Quinn Md Ekramul Hossain Salem A. Alyami AKM Azad Khondokar Fida Hasan
Cited by: Health Information Management Health Informatics Neurology
Partner nations: Australia Bangladesh Saudi Arabia

In The Last Decade

Mohammad Ali Moni

280 papers receiving 9.5k citations

Hit Papers

12 papers align trajectories log scale

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.

2025 A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
2024 Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
2023 Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
2023 Ensemble Learning for Disease Prediction: A Review
2023 An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
2022 Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
2022 Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
2022 Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
2021 LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data
2021 Recognition of human emotions using EEG signals: A review
2021 Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison
2019 Comparing different supervised machine learning algorithms for disease prediction

Peers

Countries citing papers authored by Mohammad Ali Moni

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Ali Moni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ali Moni. 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 Mohammad Ali Moni. The network helps show where Mohammad Ali Moni may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mohammad Ali Moni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Ali Moni Line = papers co-authored together Mohammad Ali Moni links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting Nafiz Al Asad,Md. Appel Mahmud Pranto,Shbiruzzaman Shiam,Musaddeq Mahmud Akand,Mohammad Yousuf,Khondokar Fida Hasan,Mohammad Ali Moni	2025	0
2	A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis Sadia Islam Tonni,Md. Alif Sheakh,Mst. Sazia Tahosin,Md. Zahid Hasan,Taslima Ferdaus Shuva,Touhid Bhuiyan,Mohammad Ali Abdullah Almoyad,Nabil Anan Orka,Md. Tanvir Rahman,Risala Tasin Khan,M. Shamim Kaiser,Mohammad Ali Moni	2025	11
3	Federated learning model with dynamic scoring-based client selection for diabetes diagnosis Shamim Ahmed,M. Shamim Kaiser,Sudipto Chaki,Saad Aloteibi,Mohammad Ali Moni	2025	3
4	DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model Md. Ashikur Rahman,Md. Mamun Ali,Kawsar Ahmed,Imran Mahmud,Francis M. Bui,Li Chen,Santosh Kumar,Mohammad Ali Moni	2024	4
5	Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques Ananda Sutradhar,Sharmin Akter,F. M. Javed Mehedi Shamrat,Pronab Ghosh,Xujuan Zhou,Mohd Yamani Idna Idris,Kawsar Ahmed,Mohammad Ali Moni	2024	6
6	Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches Md. Ali Hossain,Mohammad Zahidur Rahman,Touhid Bhuiyan,Mohammad Ali Moni	2024	1
7	Bias in Deep Learning Skin Cancer Detection: Parallel Residual Convolution Network Classification and Racial Bias Quantification Simra Shahid,Mohammad Abu Yousuf,Md. Biplob Hosen,Sabbir Ahmed,Mohammad Ali Moni	2024	0
8	Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities Saidul Islam Nayan,Md Habibur Rahman,Md Mehedi Hasan,Sheikh Md. Razibul Hasan Raj,Mohammad Ali Abdullah Almoyad,Píetro Lió,Mohammad Ali Moni	2023	7
9	Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival Md. Monirul Islam,Mohammod Abul Kashem,Salem A. Alyami,Mohammad Ali Moni	2023	18
10	Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches Fee Faysal Ahmed,Arnob Dip Das,Mst. Joynab Sumi,Md. Zohurul Islam,Md. Shahedur Rahman,Md Rashid,Salem A. Alyami,Naif Alotaibi,AKM Azad,Mohammad Ali Moni	2023	6
11	Machine Intelligence and Emerging Technologies Md. Shahriare Satu,Mohammad Ali Moni,M. Shamim Kaiser,Mohammad Shamsul Arefin	2023	3
12	Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data Rabea Khatun,Maksuda Akter,Md. Manowarul Islam,Md. Ashraf Uddin,Md. Alamin Talukder,Joarder Kamruzzaman,AKM Azad,Bikash Kumar Paul,Mohammad Ali Abdullah Almoyad,Sunil Aryal,Mohammad Ali Moni	2023	10
13	A computational approach to design a polyvalent vaccine against human respiratory syncytial virus Abu Tayab Moin,Md. Asad Ullah,Rajesh B. Patil,Nairita Ahsan Faruqui,Yusha Araf,Sowmen Das,Khaza Md. Kapil Uddin,Md. Shakhawat Hossain,Md. Faruque Miah,Mohammad Ali Moni,Dil Umme Salma Chowdhury,Saiful Islam	2023	14
14	Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspective Dilan Nisa Yilmaz,Ozge Onluturk Aydogan,Medi Kori,Büşra Aydın,Md Rezanur Rahman,Mohammad Ali Moni,Beste Turanlı	2022	2
15	Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma Md Khairul Islam,Md Rakibul Islam,Md Habibur Rahman,Md. Zahidul Islam,Md Al Amin,Kazi Rejvee Ahmed,Md. Ataur Rahman,Mohammad Ali Moni,Bonglee Kim	2022	3
16	Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images Chayan Mondal,Md. Kamrul Hasan,Mohiuddin Ahmad,Md. Abdul Awal,Md. Tasnim Jawad,Aishwariya Dutta,Md. Rabiul Islam,Mohammad Ali Moni	2021	39
17	Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes M. Babul Islam,Utpala Nanda Chowdhury,Zulkar Nain,Shahadat Uddin,Mohammad Boshir Ahmed,Mohammad Ali Moni	2021	12
18	In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.) Md. Parvez Mosharaf,Hafizur Rahman,Md. Asif Ahsan,Zobaer Akond,Fee Faysal Ahmed,Md. Mazharul Islam,Mohammad Ali Moni,Md. Nurul Haque Mollah	2020	18
19	Genome-Wide Integrative Analysis Reveals Common Molecular Signatures in Blood and Brain of Alzheimer’s Disease Md. Anisur Rahman,Tania Islam,Humayun Kabir,R. M. Damian Holsinger,Julian M.W. Quinn,Esra Göv,Mohammad Ali Moni,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown)	2020	3
20	Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): A bioinformatics analysis Md. Rakibul Islam,Md Liton Ahmed,Bikash Kumar Paul,Touhid Bhuiyan,Kawsar Ahmed,Mohammad Ali Moni	2020	9

About Mohammad Ali Moni

Mohammad Ali Moni is a scholar working on Health Information Management, Health Informatics and Neurology, having authored 309 papers that have together received 9.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (41 papers), Artificial Intelligence in Healthcare (27 papers), Machine Learning in Bioinformatics (24 papers), COVID-19 diagnosis using AI (21 papers), COVID-19 Clinical Research Studies (20 papers), Machine Learning in Healthcare (20 papers), SARS-CoV-2 and COVID-19 Research (19 papers) and Computational Drug Discovery Methods (17 papers). The work is most often cited by research in Health Information Management (994 citations), Health Informatics (192 citations) and Neurology (523 citations). Mohammad Ali Moni has collaborated with scholars based in Australia, Bangladesh and Saudi Arabia. Frequent co-authors include Shahadat Uddin, Arif Khan, Píetro Lió, Julian M.W. Quinn, Md Ekramul Hossain, Salem A. Alyami, AKM Azad, Khondokar Fida Hasan, Kawsar Ahmed and Mohammad Abu Yousuf.

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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