Mohammad Ali Moni

51.2k total citations · 12 hit papers
309 papers, 9.8k citations indexed

About

Mohammad Ali Moni is a scholar working on Molecular Biology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mohammad Ali Moni has authored 309 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 60 papers in Artificial Intelligence and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mohammad Ali Moni's work include Bioinformatics and Genomic Networks (41 papers), Artificial Intelligence in Healthcare (27 papers) and Machine Learning in Bioinformatics (24 papers). Mohammad Ali Moni is often cited by papers focused on Bioinformatics and Genomic Networks (41 papers), Artificial Intelligence in Healthcare (27 papers) and Machine Learning in Bioinformatics (24 papers). Mohammad Ali Moni collaborates with scholars based in Australia, Bangladesh and Saudi Arabia. Mohammad Ali Moni's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohammad Ali Moni Australia	53	2.0k	2.0k	1.2k	994	967	309	9.8k
Fei Wang United States	46	4.0k 2.0×	1.5k 0.8×	1.2k 1.0×	1.3k 1.3×	254 0.3×	297	9.6k
Giuseppe Jurman Italy	28	2.3k 1.1×	1.7k 0.9×	660 0.6×	486 0.5×	343 0.4×	97	9.9k
Davide Chicco Canada	22	2.5k 1.2×	1.3k 0.7×	660 0.6×	596 0.6×	297 0.3×	70	9.5k
Yuan Luo United States	57	3.6k 1.8×	3.5k 1.8×	1.2k 1.1×	812 0.8×	186 0.2×	373	12.8k
Ru‐San Tan Singapore	56	1.3k 0.7×	817 0.4×	2.4k 2.0×	784 0.8×	3.6k 3.7×	400	13.5k
Stephen T.C. Wong United States	59	1.2k 0.6×	6.8k 3.5×	1.7k 1.4×	313 0.3×	1.0k 1.1×	493	16.9k
Su‐In Lee United States	26	2.1k 1.0×	1.8k 0.9×	727 0.6×	292 0.3×	224 0.2×	65	8.7k
Yu‐Chuan Li Taiwan	44	1.0k 0.5×	1.7k 0.9×	549 0.5×	1.0k 1.0×	121 0.1×	491	9.9k
Nan Liu China	48	2.2k 1.1×	1.1k 0.5×	791 0.7×	380 0.4×	96 0.1×	577	10.0k
Andrew L. Beam United States	26	2.1k 1.1×	513 0.3×	1.4k 1.2×	651 0.7×	257 0.3×	78	6.9k

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

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

20 of 20 papers shown

Yousuf, Mohammad, et al.. (2025). MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting. Neural Computing and Applications. 37(7). 5459–5480.

Hasan, Md. Zahid, Touhid Bhuiyan, Mohammad Ali Abdullah Almoyad, et al.. (2025). A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis. Advanced Intelligent Systems. 7(3). 11 indexed citations

Ahmed, Shamim, et al.. (2025). Federated learning model with dynamic scoring-based client selection for diabetes diagnosis. Knowledge-Based Systems. 320. 113662–113662. 3 indexed citations

Ali, Md. Mamun, Kawsar Ahmed, Imran Mahmud, et al.. (2024). DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model. Results in Engineering. 24. 102878–102878. 4 indexed citations

Shamrat, F. M. Javed Mehedi, Pronab Ghosh, Xujuan Zhou, et al.. (2024). Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques. Heliyon. 10(17). e36556–e36556. 6 indexed citations

Hossain, Md. Ali, Mohammad Zahidur Rahman, Touhid Bhuiyan, & Mohammad Ali Moni. (2024). Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches. International Journal of Environmental Research and Public Health. 21(11). 1392–1392. 1 indexed citations

Yousuf, Mohammad Abu, et al.. (2024). Bias in Deep Learning Skin Cancer Detection: Parallel Residual Convolution Network Classification and Racial Bias Quantification. Charles Sturt University Research Output (CRO). 993–1000.

Rahman, Md Habibur, et al.. (2023). Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities. Life Sciences. 335. 122244–122244. 7 indexed citations

Islam, Md. Monirul, Mohammod Abul Kashem, Salem A. Alyami, & Mohammad Ali Moni. (2023). Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival. Microprocessors and Microsystems. 102. 104930–104930. 18 indexed citations

10.

Ahmed, Fee Faysal, Md. Shahedur Rahman, Md Rashid, et al.. (2023). Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches. Scientific Reports. 13(1). 19072–19072. 6 indexed citations

11.

Satu, Md. Shahriare, Mohammad Ali Moni, M. Shamim Kaiser, & Mohammad Shamsul Arefin. (2023). Machine Intelligence and Emerging Technologies. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 3 indexed citations

12.

Islam, Md. Manowarul, Md. Ashraf Uddin, Md. Alamin Talukder, et al.. (2023). Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data. Genes. 14(9). 1802–1802. 10 indexed citations

13.

Moin, Abu Tayab, Md. Asad Ullah, Rajesh B. Patil, et al.. (2023). A computational approach to design a polyvalent vaccine against human respiratory syncytial virus. Scientific Reports. 13(1). 9702–9702. 14 indexed citations

14.

Kori, Medi, et al.. (2022). Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspective. Gene Reports. 28. 101657–101657. 2 indexed citations

15.

Rahman, Md Habibur, et al.. (2022). Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma. Pharmaceutics. 14(8). 1573–1573. 3 indexed citations

16.

Hasan, Md. Kamrul, Mohiuddin Ahmad, Md. Abdul Awal, et al.. (2021). Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images. Informatics in Medicine Unlocked. 27. 100794–100794. 39 indexed citations

17.

Nain, Zulkar, et al.. (2021). Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Computers in Biology and Medicine. 136. 104668–104668. 12 indexed citations

18.

Rahman, Hafizur, et al.. (2020). In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.). PLoS ONE. 15(12). e0228233–e0228233. 18 indexed citations

19.

Islam, Tania, Humayun Kabir, R. M. Damian Holsinger, et al.. (2020). Genome-Wide Integrative Analysis Reveals Common Molecular Signatures in Blood and Brain of Alzheimer’s Disease. Biointerface Research in Applied Chemistry. 11(2). 8686–8701. 3 indexed citations

20.

Islam, Md. Rakibul, et al.. (2020). Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): A bioinformatics analysis. Informatics in Medicine Unlocked. 18. 100304–100304. 9 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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