Aboozar Taherkhani

1.3k citations

26 papers · 912 indexed · 1 hit paper · h-index 11

Electrical and Electronic Engineering top 10%
Artificial Intelligence top 5%
Cognitive Neuroscience top 5%
Computer Vision and Pattern Recognition top 10%
Cellular and Molecular Neuroscience

Co-authors: Georgina Cosma T.M. McGinnity Yuhua Li Liam Maguire Ammar Belatreche Pouria Ahmadi Vinayak Ashok Bharadi Seyyed Ali Seyyedsalehi
Topics: Neural dynamics and brain function (7 papers)Advanced Memory and Neural Computing (6 papers)Neural Networks and Reservoir Computing (5 papers)
Cited by: Cognitive Neuroscience Artificial Intelligence Human-Computer Interaction
Journals: Energy Conversion and Management Sensors IEEE Transactions on Neural Networks and Learning Systems
Partner nations: United Kingdom Iran Iraq

In The Last Decade

Aboozar Taherkhani

24 papers receiving 880 citations

Hit 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.

A review of learning in biologically plausible spiking neural networks

2019 268 citations Aboozar Taherkhani, Ammar Belatreche et al. Neural Networks profile →

Peers

Countries citing papers authored by Aboozar Taherkhani

Since Specialization

Citations

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

Fields of papers citing papers by Aboozar Taherkhani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aboozar Taherkhani. 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 Aboozar Taherkhani. The network helps show where Aboozar Taherkhani may publish in the future.

Co-authorship network of co-authors of Aboozar Taherkhani

This figure shows the co-authorship network connecting the top 25 collaborators of Aboozar Taherkhani. A scholar is included among the top collaborators of Aboozar Taherkhani 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 Aboozar Taherkhani. Aboozar Taherkhani 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	Comparative Evaluation of Neural Networks and Transfer Learning for Predicting Mechanical Properties of 3D‐Printed Bone Scaffolds 2025 ·Macromolecular Materials and Engineering ·(unknown),(unknown),Aboozar Taherkhani,(unknown),(unknown),(unknown),(unknown),Meisam Abdi	0
2	PointCloud-At: Point Cloud Convolutional Neural Networks with Attention for 3D Data Processing 2024 ·Sensors ·(unknown),Aboozar Taherkhani	0
3	A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets 2023 ·SN Computer Science ·Aboozar Taherkhani,Georgina Cosma,T.M. McGinnity	6
4	Enhancing Prediction in Cyclone Separators through Computational Intelligence 2020 ·(unknown),(unknown),Georgina Cosma,Aboozar Taherkhani,Vincenzo Madonna	3
5	Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning 2020 ·(unknown),Georgina Cosma,Aboozar Taherkhani	21
6	AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning 2020 ·Neurocomputing ·Aboozar Taherkhani,Georgina Cosma,T.M. McGinnity	187
7	A review of learning in biologically plausible spiking neural networksbreakdown → 2019 ·Neural Networks ·Aboozar Taherkhani,Ammar Belatreche,Yuhua Li,Georgina Cosma,Liam Maguire,T.M. McGinnity	268
8	Deep-FS: A feature selection algorithm for Deep Boltzmann Machines 2018 ·Neurocomputing ·Aboozar Taherkhani,Georgina Cosma,T.M. McGinnity	54
9	Hand gesture recognition using an adapted convolutional neural network with data augmentation 2018 ·Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·(unknown),Georgina Cosma,Aboozar Taherkhani,T.M. McGinnity	47
10	On-line voltage stability monitoring using an Ensemble AdaBoost classifier 2018 ·Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·(unknown),Georgina Cosma,Aboozar Taherkhani,(unknown),T.M. McGinnity	15
11	A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Aboozar Taherkhani,Ammar Belatreche,Yuhua Li,Liam Maguire	72
12	Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method 2015 ·University of Salford Institutional Repository (University of Salford) ·Aboozar Taherkhani,Ammar Belatreche,Yuhua Li,Liam Maguire	8
13	A new biologically plausible supervised learning method for spiking neurons 2014 ·University of Salford Institutional Repository (University of Salford) ·Aboozar Taherkhani,Ammar Belatreche,Yuhua Li,Liam Maguire	9
14	Modeling and thermo-economic optimization of heat recovery heat exchangers using a multimodal genetic algorithm 2012 ·Energy Conversion and Management ·(unknown),Pouria Ahmadi,(unknown),Aboozar Taherkhani	61
15	Using Decision Tree Classifiers in Source Code Analysis to Recognize Algorithms: An Experiment with Sorting Algorithms 2011 ·The Computer Journal ·Aboozar Taherkhani	10
16	Design of a chaotic neural network for training and retrieval of grayscale and binary patterns 2011 ·Neurocomputing ·Aboozar Taherkhani,Seyyed Ali Seyyedsalehi,Amir Homayoun Jafari‬	6
17	Recognizing Algorithms Using Language Constructs, Software Metrics and Roles of Variables: An Experiment with Sorting Algorithms 2010 ·The Computer Journal ·Aboozar Taherkhani,Ari Korhonen,Lauri Malmi	7
18	Design of a chaotic neural network by using chaotic nodes and NDRAM network 2008 ·Aboozar Taherkhani,Abbas Mohammadi,Seyyed Ali Seyyedsalehi,(unknown)	4
19	Design of Chaotic Neural Network for Robust Phoneme Recognition 2008 ·Aboozar Taherkhani,Seyyed Ali Seyyedsalehi,Arash Mohammadi	3
20	Nonlinear Signal Processing for Voice Disorder Detection by Using Modified GP Algorithm and Surrogate Data Analysis 2007 ·Aboozar Taherkhani,Seyyed Ali Seyyedsalehi,Arash Mohammadi,Mohammad Hassan Moradi	1

About Aboozar Taherkhani

Aboozar Taherkhani is a scholar working on Signal Processing, Software and Statistical and Nonlinear Physics, having authored 26 papers that have together received 912 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (6 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Cognitive Neuroscience (277 citations), Artificial Intelligence (329 citations) and Human-Computer Interaction (45 citations). Aboozar Taherkhani has collaborated with scholars based in United Kingdom, Iran and Iraq. Frequent co-authors include Georgina Cosma, T.M. McGinnity, Yuhua Li, Liam Maguire, Ammar Belatreche, Pouria Ahmadi, Vinayak Ashok Bharadi, Seyyed Ali Seyyedsalehi, Lauri Malmi and Arash Mohammadi. Their work appears in journals such as Energy Conversion and Management, Sensors and IEEE Transactions on Neural Networks and Learning Systems.

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