OOIR: Observatory of International Research

Papers

(The H4-Index of Future Generation Computer Systems-The International Journal of Escien is 73. 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 2020-09-01 to 2024-09-01.)

Article	Citations
Slime mould algorithm: A new method for stochastic optimization	1980
A survey on security and privacy of federated learning	653
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis	484
BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence	346
Recent advancements and challenges of Internet of Things in smart agriculture: A survey	299
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies	270
Blockchain for the metaverse: A Review	259
An ensemble machine learning approach through effective feature extraction to classify fake news	255
A survey on blockchain for big data: Approaches, opportunities, and future directions	243
An intelligent healthcare monitoring framework using wearable sensors and social networking data	243
A survey of human-in-the-loop for machine learning	236
Privacy-preserving blockchain-based federated learning for traffic flow prediction	197
Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning	188
A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic	186
OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city	172
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis	165
A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology	162
Multiple cloud storage mechanism based on blockchain in smart homes	160
Scheduling Internet of Things requests to minimize latency in hybrid Fog–Cloud computing	159
Human action recognition using attention based LSTM network with dilated CNN features	148
Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model	140
Iota Tangle: A cryptocurrency to communicate Internet-of-Things data	139
Deep learning-based cardiovascular image diagnosis: A promising challenge	133
The application research of neural network and BP algorithm in stock price pattern classification and prediction	131
Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN	130

RETRACTED: Intelligent edge computing based on machine learning for smart city	129
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework	129
Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network	128
DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network	124
A review of sentiment analysis research in Arabic language	121
Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection	120
A state-of-the-art survey on solving non-IID data in Federated Learning	116
A bibliometric analysis and visualization of blockchain	116
Optimized container scheduling for data-intensive serverless edge computing	116
From big data to smart energy services: An application for intelligent energy management	109
Emotion recognition by deeply learned multi-channel textual and EEG features	105
DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)	104
Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection	104
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments	103
Genetic convolutional neural network for intrusion detection systems	101
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling	98
Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions	98
An adaptive federated learning scheme with differential privacy preserving	96
Defending network intrusion detection systems against adversarial evasion attacks	95
Heart disease identification from patients’ social posts, machine learning solution on Spark	94
Intelligent Dynamic Malware Detection using Machine Learning in IP Reputation for Forensics Data Analytics	91
Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer	91
MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things	90
Design and application of fog computing and Internet of Things service platform for smart city	89
Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing	89
Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment	88
Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments	87
Tracking and collision avoidance of virtual coupling train control system	86
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data	85
Constructing a prior-dependent graph for data clustering and dimension reduction in the edge of AIoT	85
Lightweight cryptography in IoT networks: A survey	84
Aggression detection through deep neural model on Twitter	83
A lightweight supervised intrusion detection mechanism for IoT networks	83
Artificial intelligence for securing industrial-based cyber–physical systems	83
Multiple improved residual networks for medical image super-resolution	82
DoS and DDoS attacks in Software Defined Networks: A survey of existing solutions and research challenges	82
GAN augmentation to deal with imbalance in imaging-based intrusion detection	81
Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease	79
Attention-based sentiment analysis using convolutional and recurrent neural network	79
Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach	79
Handling missing data in near real-time environmental monitoring: A system and a review of selected methods	78
BiLSTM deep neural network model for imbalanced medical data of IoT systems	76
LEChain: A blockchain-based lawful evidence management scheme for digital forensics	76
A framework for anomaly detection and classification in Multiple IoT scenarios	76
Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace	75
Towards secure and efficient energy trading in IIoT-enabled energy internet: A blockchain approach	74
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence	74
Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes	74
Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging	73