Mohammad Ali Moni

51.2k citations

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

Artificial Intelligence top 0.5%
Molecular Biology top 5%
Radiology, Nuclear Medicine and Imaging top 1%
Health Information Management top 0.05%
Cognitive Neuroscience top 2%

Co-authors: Shahadat Uddin Arif Khan Píetro Lió Julian M.W. Quinn Md Ekramul Hossain Salem A. Alyami AKM Azad Khondokar Fida Hasan
Topics: Bioinformatics and Genomic Networks (41 papers)Artificial Intelligence in Healthcare (27 papers)Machine Learning in Bioinformatics (24 papers)
Cited by: Health Information Management Health Informatics Neurology
Journals: SHILAP Revista de lepidopterologíaBioinformatics PLoS ONE
Partner nations: Australia Bangladesh Saudi Arabia

In The Last Decade

Mohammad Ali Moni

280 papers receiving 9.5k 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.

Comparing different supervised machine learning algorithms for disease prediction

2019 1.0k citations Shahadat Uddin, Mohammad Ali Moni et al. profile →
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

2022 382 citations Shahadat Uddin, Mohammad Ali Moni et al. Scientific Reports profile →
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison

2021 264 citations Md. Mamun Ali, Bikash Kumar Paul et al. Computers in Biology and Medicine profile →
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

2022 176 citations Md. Alamin Talukder, Md. Manowarul Islam et al. profile →
Recognition of human emotions using EEG signals: A review

2021 152 citations Md. Rabiul Islam, Julian M.W. Quinn et al. Computers in Biology and Medicine profile →
Ensemble Learning for Disease Prediction: A Review

2023 151 citations Shahadat Uddin, Mohammad Ali Moni et al. profile →
Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

2022 144 citations Mohammad Abu Yousuf, Sabbir Ahmed et al. profile →
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

2021 142 citations Mohammad Abu Yousuf, AKM Azad et al. Computers in Biology and Medicine profile →
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

2023 118 citations Sabbir Ahmed, Mohammad Abu Yousuf et al. profile →
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

2023 106 citations Md. Alamin Talukder, Md. Manowarul Islam et al. profile →
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

2024 94 citations Md. Alamin Talukder, Md. Manowarul Islam et al. profile →
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images

2025 17 citations Mohammad Ali Moni et al. Scientific Reports profile →

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 of co-authors of Mohammad Ali Moni

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Moni. A scholar is included among the top collaborators of Mohammad Ali Moni 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 Mohammad Ali Moni. Mohammad Ali Moni 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	MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting 2025 ·Neural Computing and Applications ·(unknown),(unknown),(unknown),(unknown),Mohammad Yousuf,Khondokar Fida Hasan,Mohammad Ali Moni	0
2	A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis 2025 ·Advanced Intelligent Systems ·(unknown),(unknown),(unknown),Md. Zahid Hasan,(unknown),Touhid Bhuiyan,Mohammad Ali Abdullah Almoyad,(unknown),(unknown),Risala Tasin Khan,M. Shamim Kaiser,Mohammad Ali Moni	11
3	Federated learning model with dynamic scoring-based client selection for diabetes diagnosis 2025 ·Knowledge-Based Systems ·Shamim Ahmed,M. Shamim Kaiser,(unknown),(unknown),Mohammad Ali Moni	3
4	DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model 2024 ·Results in Engineering ·(unknown),Md. Mamun Ali,Kawsar Ahmed,Imran Mahmud,Francis M. Bui,Li Chen,Santosh Kumar,Mohammad Ali Moni	4
5	Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques 2024 ·Heliyon ·(unknown),(unknown),F. M. Javed Mehedi Shamrat,Pronab Ghosh,Xujuan Zhou,Mohd Yamani Idna Idris,Kawsar Ahmed,Mohammad Ali Moni	6
6	Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches 2024 ·International Journal of Environmental Research and Public Health ·Md. Ali Hossain,Mohammad Zahidur Rahman,Touhid Bhuiyan,Mohammad Ali Moni	1
7	Bias in Deep Learning Skin Cancer Detection: Parallel Residual Convolution Network Classification and Racial Bias Quantification 2024 ·Charles Sturt University Research Output (CRO) ·(unknown),Mohammad Abu Yousuf,(unknown),Sabbir Ahmed,Mohammad Ali Moni	0
8	Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities 2023 ·Life Sciences ·(unknown),Md Habibur Rahman,Md Mehedi Hasan,(unknown),Mohammad Ali Abdullah Almoyad,Píetro Lió,Mohammad Ali Moni	7
9	Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival 2023 ·Microprocessors and Microsystems ·Md. Monirul Islam,Mohammod Abul Kashem,Salem A. Alyami,Mohammad Ali Moni	18
10	Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches 2023 ·Scientific Reports ·Fee Faysal Ahmed,(unknown),(unknown),(unknown),Md. Shahedur Rahman,Md Rashid,Salem A. Alyami,Naif Alotaibi,AKM Azad,Mohammad Ali Moni	6
11	Machine Intelligence and Emerging Technologies 2023 ·Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ·Md. Shahriare Satu,Mohammad Ali Moni,M. Shamim Kaiser,Mohammad Shamsul Arefin	3
12	Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data 2023 ·Genes ·(unknown),(unknown),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	10
13	A computational approach to design a polyvalent vaccine against human respiratory syncytial virus 2023 ·Scientific Reports ·Abu Tayab Moin,Md. Asad Ullah,Rajesh B. Patil,(unknown),Yusha Araf,(unknown),(unknown),(unknown),(unknown),Mohammad Ali Moni,(unknown),Saiful Islam	14
14	Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspective 2022 ·Gene Reports ·(unknown),(unknown),Medi Kori,Büşra Aydın,Md Rezanur Rahman,Mohammad Ali Moni,Beste Turanlı	2
15	Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma 2022 ·Pharmaceutics ·(unknown),(unknown),Md Habibur Rahman,Md. Zahidul Islam,(unknown),(unknown),Md. Ataur Rahman,Mohammad Ali Moni,Bonglee Kim	3
16	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
17	Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes 2021 ·Computers in Biology and Medicine ·(unknown),(unknown),Zulkar Nain,Shahadat Uddin,Mohammad Boshir Ahmed,Mohammad Ali Moni	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.) 2020 ·PLoS ONE ·(unknown),Hafizur Rahman,(unknown),(unknown),Fee Faysal Ahmed,Md. Mazharul Islam,Mohammad Ali Moni,Md. Nurul Haque Mollah	18
19	Genome-Wide Integrative Analysis Reveals Common Molecular Signatures in Blood and Brain of Alzheimer’s Disease 2020 ·Biointerface Research in Applied Chemistry ·(unknown),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)	3
20	Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): A bioinformatics analysis 2020 ·Informatics in Medicine Unlocked ·Md. Rakibul Islam,(unknown),Bikash Kumar Paul,Touhid Bhuiyan,Kawsar Ahmed,Mohammad Ali Moni	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) and Machine Learning in Bioinformatics (24 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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