Applied Intelligence

Papers
(The H4-Index of Applied Intelligence is 55. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems538
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network516
Deep learning based detection and analysis of COVID-19 on chest X-ray images320
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices233
A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19196
RETRACTED ARTICLE: Deep learning system to screen coronavirus disease 2019 pneumonia188
Attention-based VGG-16 model for COVID-19 chest X-ray image classification170
Image super-resolution reconstruction based on feature map attention mechanism148
Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays136
COVID-19 open source data sets: a comprehensive survey127
Cropping and attention based approach for masked face recognition119
Generalization of Dempster–Shafer theory: A complex mass function119
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble117
Deep learning in multi-object detection and tracking: state of the art117
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks115
The geometry of three-way decision114
Pruning filters with L1-norm and capped L1-norm for CNN compression109
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization106
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19101
Deep reinforcement learning for imbalanced classification101
Transient search optimization: a new meta-heuristic optimization algorithm101
Design and analysis of a large-scale COVID-19 tweets dataset96
A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network91
A novel cause analysis approach of grey reasoning Petri net based on matrix operations89
End-to-end CNN + LSTM deep learning approach for bearing fault diagnosis82
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems81
A comprehensive survey on feature selection in the various fields of machine learning78
Densely connected convolutional networks-based COVID-19 screening model78
An intrusion detection approach based on improved deep belief network78
SA-FPN: An effective feature pyramid network for crowded human detection77
Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features76
Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward75
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects72
GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction67
Citrus disease detection and classification using end-to-end anchor-based deep learning model66
Confidence interval for micro-averaged F1 and macro-averaged F1 scores65
Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines64
Feature selection based on mutual information with correlation coefficient64
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning64
RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring64
Temperate fish detection and classification: a deep learning based approach63
Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM62
Personalized recommendation system based on knowledge embedding and historical behavior61
TIRNet: Object detection in thermal infrared images for autonomous driving61
An intelligent and blind dual color image watermarking for authentication and copyright protection61
“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”60
M-FFN: multi-scale feature fusion network for image captioning59
Multi-modal medical image fusion based on equilibrium optimizer algorithm and local energy functions59
Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues59
A bi-stage feature selection approach for COVID-19 prediction using chest CT images57
Using artificial intelligence techniques for COVID-19 genome analysis57
An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray images56
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data56
A combined multiple action recognition and summarization for surveillance video sequences56
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus55
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