Future Generation Computer Systems-The International Journal of Escien

Papers
(The H4-Index of Future Generation Computer Systems-The International Journal of Escien is 75. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Slime mould algorithm: A new method for stochastic optimization1787
A survey on the security of blockchain systems947
A survey on security and privacy of federated learning565
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis447
BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence320
Security, privacy and trust of different layers in Internet-of-Things (IoTs) framework262
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies260
Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city258
Recent advancements and challenges of Internet of Things in smart agriculture: A survey253
An ensemble machine learning approach through effective feature extraction to classify fake news226
An intelligent healthcare monitoring framework using wearable sensors and social networking data224
A survey on blockchain for big data: Approaches, opportunities, and future directions197
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers196
Blockchain for the metaverse: A Review191
A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic183
Analysis of healthcare big data182
From blockchain consensus back to Byzantine consensus181
Privacy-preserving blockchain-based federated learning for traffic flow prediction167
A survey of human-in-the-loop for machine learning162
OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city160
Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning160
Intelligent mobile malware detection using permission requests and API calls148
Scheduling Internet of Things requests to minimize latency in hybrid Fog–Cloud​ computing147
Multiple cloud storage mechanism based on blockchain in smart homes147
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis143
Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model133
A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology133
Human action recognition using attention based LSTM network with dilated CNN features131
Iota Tangle: A cryptocurrency to communicate Internet-of-Things data127
Q-learning based dynamic task scheduling for energy-efficient cloud computing127
Raspberry Pi assisted face recognition framework for enhanced law-enforcement services in smart cities123
Deep learning-based cardiovascular image diagnosis: A promising challenge123
Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization121
RETRACTED: Intelligent edge computing based on machine learning for smart city119
The application research of neural network and BP algorithm in stock price pattern classification and prediction119
TrustChain: A Sybil-resistant scalable blockchain118
DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network117
A review of sentiment analysis research in Arabic language116
Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN115
Task optimization and scheduling of distributed cyber–physical system based on improved ant colony algorithm114
Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network113
Machine learning for assisting cervical cancer diagnosis: An ensemble approach112
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework111
Color image encryption using non-dominated sorting genetic algorithm with local chaotic search based 106
Optimized container scheduling for data-intensive serverless edge computing105
From big data to smart energy services: An application for intelligent energy management104
A bibliometric analysis and visualization of blockchain102
Design and analysis of authenticated key agreement scheme in cloud-assisted cyber–physical systems101
Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection98
DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)94
Emotion recognition by deeply learned multi-channel textual and EEG features94
Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions92
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling92
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments91
A novel trust mechanism based on Fog Computing in Sensor–Cloud System91
Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing87
Genetic convolutional neural network for intrusion detection systems86
Defending network intrusion detection systems against adversarial evasion attacks86
Heart disease identification from patients’ social posts, machine learning solution on Spark85
Intelligent Dynamic Malware Detection using Machine Learning in IP Reputation for Forensics Data Analytics85
MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things84
Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer81
Artificial intelligence for securing industrial-based cyber–physical systems81
Constructing a prior-dependent graph for data clustering and dimension reduction in the edge of AIoT81
Driverless vehicle security: Challenges and future research opportunities80
A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain80
Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection80
Design and application of fog computing and Internet of Things service platform for smart city79
Heterogeneous edge computing open platforms and tools for internet of things79
Runtime verification for business processes utilizing the Bitcoin blockchain78
Classification of optimization problems in fog computing78
Transformer fault diagnosis method using IoT based monitoring system and ensemble machine learning77
Tracking and collision avoidance of virtual coupling train control system77
An adaptive federated learning scheme with differential privacy preserving76
A Stackelberg game approach to multiple resources allocation and pricing in mobile edge computing75
Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease75
Attention-based sentiment analysis using convolutional and recurrent neural network75
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