Mohammad Hossein Moattar

1.7k total citations · 1 hit paper
70 papers, 1.2k citations indexed

About

Mohammad Hossein Moattar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mohammad Hossein Moattar has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Mohammad Hossein Moattar's work include Face and Expression Recognition (15 papers), Speech and Audio Processing (11 papers) and Speech Recognition and Synthesis (10 papers). Mohammad Hossein Moattar is often cited by papers focused on Face and Expression Recognition (15 papers), Speech and Audio Processing (11 papers) and Speech Recognition and Synthesis (10 papers). Mohammad Hossein Moattar collaborates with scholars based in Iran, Vietnam and South Korea. Mohammad Hossein Moattar's co-authors include Masood Niazi Torshiz, Mohammad Mehdi Homayounpour, Mehrdad Jalali, Alireza Karimi, Mehdi Hosseinzadeh, Aso Mohammad Darwesh, Nima Jafari Navimipour, Nima Khademi Kalantari, Mohsen Heidari and Reza Mirzazadeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Mohammad Hossein Moattar

66 papers receiving 1.1k citations

Hit Papers

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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.

Color image encryption based on hybrid hyper-chaotic system and cellular automata

2016 319 citations Mohammad Hossein Moattar et al. profile →

Peers

Countries citing papers authored by Mohammad Hossein Moattar

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Hossein Moattar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Hossein Moattar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hossein Moattar. A scholar is included among the top collaborators of Mohammad Hossein Moattar 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 Hossein Moattar. Mohammad Hossein Moattar 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	Deep generative approaches for oversampling in imbalanced data classification problems: A comprehensive review and comparative analysis 2025 ·Applied Soft Computing ·(unknown), Mohammad Hossein Moattar, Mehdi Hosseinzadeh	7
2	Dealing with high dimensional multi-view data: A comprehensive review of non-negative matrix factorization approaches in data mining and machine learning 2025 ·Computer Science Review ·(unknown), Mohammad Hossein Moattar, (unknown)	0
3	Enhancing Robust and Stable Feature Selection Through the Integration of Ranking Methods and Wrapper Techniques in Genetic Data Classification 2025 ·Methods in molecular biology ·(unknown), Mohammad Hossein Moattar, Matthew Parry, Aniruddha Chatterjee	1
4	A comprehensive survey on recent feature selection methods for mixed data: Challenges, solutions and future directions 2025 ·Neurocomputing ·(unknown), Mohammad Hossein Moattar	4
5	M2GDL: Multi-manifold guided dictionary learning based oversampling and data validation for highly imbalanced classification problems 2024 ·Information Sciences ·(unknown), Mohammad Hossein Moattar, (unknown)	4
6	A secure and robust images encryption scheme using chaos game representation, logistic map and convolutional auto-encoder 2024 ·Multimedia Tools and Applications ·(unknown), Mohammad Hossein Moattar	1
7	Discriminative feature selection using signed Laplacian restricted Boltzmann machine for speed and generalization improvement of high dimensional data classification 2024 ·Applied Soft Computing ·(unknown), Mohammad Hossein Moattar	3
8	A Hybrid Fuzzy Deep Belief Network Extreme Learning Machine Framework With Hyperbolic Secant Activation Function for Robust Semi‐Supervised Sentiment Classification 2024 ·(unknown), Mohammad Hossein Moattar	1
9	Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems 2024 ·Big Data and Cognitive Computing ·(unknown), Mohammad Hossein Moattar, (unknown)	0
10	Multi-Period High Dimensional Data Modeling Using Hybrid Zero-Convolution CNN-LSTM for Improved Crude-Oil Price Prediction 2024 ·(unknown), (unknown), Mohammad Hossein Moattar	2
11	Robust microarray data feature selection using a correntropy based distance metric learning approach 2023 ·Computers in Biology and Medicine ·(unknown), Mohammad Hossein Moattar	4
12	A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems 2023 ·Journal Of Big Data ·(unknown), Mohammad Hossein Moattar, (unknown)	5
13	Deep aspect extraction and classification for opinion mining in e‐commerce applications using convolutional neural network feature extraction followed by long short term memory attention model 2023 ·SHILAP Revista de lepidopterología ·(unknown), Mohammad Hossein Moattar	2
14	Forward propagation dropout in deep neural networks using Jensen–Shannon and random forest feature importance ranking 2023 ·Neural Networks ·Mohsen Heidari, Mohammad Hossein Moattar, (unknown)	13
15	DMRFusion: A differentially methylated region detection tool based on the ranked fusion method 2018 ·Genomics ·(unknown), (unknown), (unknown), (unknown), (unknown), Alireza Heravi‐Moussavi, Mohammad Hossein Moattar, Mohammad Amin Kerachian	11
16	Improved COA with Chaotic Initialization and Intelligent Migration for Data Clustering 2017 ·SHILAP Revista de lepidopterología ·(unknown), Mohammad Hossein Moattar	2
17	Ensemble Classification and Extended Feature Selection for Credit Card Fraud Detection 2017 ·SHILAP Revista de lepidopterología ·(unknown), Mohammad Hossein Moattar	19
18	A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization 2016 ·Genomics ·(unknown), (unknown), Mohammad Hossein Moattar	96
19	Robust and stable feature selection by integrating ranking methods and wrapper technique in genetic data classification 2014 ·Biochemical and Biophysical Research Communications ·(unknown), Mohammad Hossein Moattar	19
20	A simple but efficient real-time Voice Activity Detection algorithm 2009 ·European Signal Processing Conference ·Mohammad Hossein Moattar, Mohammad Mehdi Homayounpour	53

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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