OOIR: Observatory of International Research

Papers

(The H4-Index of Computer Science Review is 50. 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 2020-06-01 to 2024-06-01.)

Article	Citations
A survey on deep learning and its applications	573
Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)	342
A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability	217
Big data and IoT-based applications in smart environments: A systematic review	201
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions	181
Integrating blockchain technology into the energy sector — from theory of blockchain to research and application of energy blockchain	165
Community detection in node-attributed social networks: A survey	143
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm	137
A comprehensive survey and analysis of generative models in machine learning	135
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews	133
A comprehensive survey on the Multiple Traveling Salesman Problem: Applications, approaches and taxonomy	130
A critical overview of outlier detection methods	123
A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations	118
Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions	116
A comprehensive and systematic look up into deep learning based object detection techniques: A review	116
How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management	115
Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019	109
Nature-inspired algorithms for Wireless Sensor Networks: A comprehensive survey	100
Smart Farming in Europe	99
Deep Learning Algorithms for Cybersecurity Applications: A Technological and Status Review	95
A survey on privacy and security of Internet of Things	93
Context Aware Recommendation Systems: A review of the state of the art techniques	93
Machine learning algorithms for social media analysis: A survey	92
Future FANET with application and enabling techniques: Anatomization and sustainability issues	92
Role of machine learning in medical research: A survey	88

Applicability of mobile contact tracing in fighting pandemic (COVID-19): Issues, challenges and solutions	84
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges	78
Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy, research findings, challenges and future	74
Landscape of IoT security	74
Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation	71
Intelligent food processing: Journey from artificial neural network to deep learning	69
Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges	67
A comprehensive survey of service function chain provisioning approaches in SDN and NFV architecture	64
Quantum walk and its application domains: A systematic review	62
Improved node localization using K-means clustering for Wireless Sensor Networks	61
Blockchain-based recommender systems: Applications, challenges and future opportunities	60
Blockchain technology in the energy sector: From basic research to real world applications	59
A systematic review on Deep Learning approaches for IoT security	59
Moving objects detection with a moving camera: A comprehensive review	57
Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions	57
DevOps and software quality: A systematic mapping	56
Applicability of Blockchain smart contracts in securing Internet and IoT: A systematic literature review	56
Vulnerability retrospection of security solutions for software-defined Cyber–Physical System against DDoS and IoT-DDoS attacks	56
Cyber security training for critical infrastructure protection: A literature review	55
Neural Natural Language Processing for unstructured data in electronic health records: A review	55
Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades	54
A comprehensive survey on deep learning based malware detection techniques	53
A survey of malware detection in Android apps: Recommendations and perspectives for future research	52
Asynchronous federated learning on heterogeneous devices: A survey	50
Clustering protocols in wireless sensor network: A survey, classification, issues, and future directions	50