Future Generation Computer Systems-The International Journal of Escien

Papers
(The H4-Index of Future Generation Computer Systems-The International Journal of Escien is 67. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A survey on security and privacy of federated learning686
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis489
Recent advancements and challenges of Internet of Things in smart agriculture: A survey306
Blockchain for the metaverse: A Review266
An ensemble machine learning approach through effective feature extraction to classify fake news258
A survey of human-in-the-loop for machine learning251
A survey on blockchain for big data: Approaches, opportunities, and future directions249
An intelligent healthcare monitoring framework using wearable sensors and social networking data246
Privacy-preserving blockchain-based federated learning for traffic flow prediction204
Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning191
A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic188
OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city177
A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology168
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis167
Multiple cloud storage mechanism based on blockchain in smart homes162
Human action recognition using attention based LSTM network with dilated CNN features149
Iota Tangle: A cryptocurrency to communicate Internet-of-Things data144
Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model140
A state-of-the-art survey on solving non-IID data in Federated Learning132
The application research of neural network and BP algorithm in stock price pattern classification and prediction132
RETRACTED: Intelligent edge computing based on machine learning for smart city130
DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network126
A review of sentiment analysis research in Arabic language123
Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection122
A bibliometric analysis and visualization of blockchain118
Optimized container scheduling for data-intensive serverless edge computing117
Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection113
DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)107
Emotion recognition by deeply learned multi-channel textual and EEG features105
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments103
Genetic convolutional neural network for intrusion detection systems103
An adaptive federated learning scheme with differential privacy preserving101
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling98
Intelligent Dynamic Malware Detection using Machine Learning in IP Reputation for Forensics Data Analytics92
Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer92
Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing90
Design and application of fog computing and Internet of Things service platform for smart city90
MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things90
Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments88
Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment88
A lightweight supervised intrusion detection mechanism for IoT networks87
Lightweight cryptography in IoT networks: A survey87
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data86
Tracking and collision avoidance of virtual coupling train control system86
Multiple improved residual networks for medical image super-resolution85
Constructing a prior-dependent graph for data clustering and dimension reduction in the edge of AIoT85
GAN augmentation to deal with imbalance in imaging-based intrusion detection84
Aggression detection through deep neural model on Twitter84
Artificial intelligence for securing industrial-based cyber–physical systems84
DoS and DDoS attacks in Software Defined Networks: A survey of existing solutions and research challenges84
Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease80
Attention-based sentiment analysis using convolutional and recurrent neural network80
Handling missing data in near real-time environmental monitoring: A system and a review of selected methods79
LEChain: A blockchain-based lawful evidence management scheme for digital forensics78
BiLSTM deep neural network model for imbalanced medical data of IoT systems77
A framework for anomaly detection and classification in Multiple IoT scenarios76
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks75
Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace75
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence75
Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging74
A reputation score policy and Bayesian game theory based incentivized mechanism for DDoS attacks mitigation and cyber defense73
Secure healthcare monitoring framework integrating NDN-based IoT with edge cloud71
Blockchain-based trust mechanism for digital twin empowered Industrial Internet of Things69
A blockchain-based preserving and sharing system for medical data privacy69
Enhancing cyber–physical systems with hybrid smart city cyber security architecture for secure public data-smart network69
The explainability paradox: Challenges for xAI in digital pathology68
Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks67
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