Computer Science Review

Papers
(The TQCC of Computer Science Review is 37. 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
A survey on deep learning and its applications549
Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)332
A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability213
Big data and IoT-based applications in smart environments: A systematic review200
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions178
Integrating blockchain technology into the energy sector — from theory of blockchain to research and application of energy blockchain156
Community detection in node-attributed social networks: A survey138
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm128
A comprehensive survey on the Multiple Traveling Salesman Problem: Applications, approaches and taxonomy127
A comprehensive survey and analysis of generative models in machine learning125
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews122
A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations114
A critical overview of outlier detection methods113
A comprehensive and systematic look up into deep learning based object detection techniques: A review112
How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management111
Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions109
Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019107
Nature-inspired algorithms for Wireless Sensor Networks: A comprehensive survey98
Smart Farming in Europe93
A survey on privacy and security of Internet of Things91
Deep Learning Algorithms for Cybersecurity Applications: A Technological and Status Review91
Context Aware Recommendation Systems: A review of the state of the art techniques90
Future FANET with application and enabling techniques: Anatomization and sustainability issues90
Machine learning algorithms for social media analysis: A survey89
Role of machine learning in medical research: A survey86
Applicability of mobile contact tracing in fighting pandemic (COVID-19): Issues, challenges and solutions83
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 73
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges71
Landscape of IoT security69
Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation67
Intelligent food processing: Journey from artificial neural network to deep learning65
Conversational agents in business: A systematic literature review and future research directions63
A comprehensive survey of service function chain provisioning approaches in SDN and NFV architecture62
Improved node localization using K-means clustering for Wireless Sensor Networks61
Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges60
Blockchain-based recommender systems: Applications, challenges and future opportunities57
A systematic review on Deep Learning approaches for IoT security57
Moving objects detection with a moving camera: A comprehensive review56
Blockchain technology in the energy sector: From basic research to real world applications56
Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions55
Applicability of Blockchain smart contracts in securing Internet and IoT: A systematic literature review55
Quantum walk and its application domains: A systematic review55
DevOps and software quality: A systematic mapping53
Vulnerability retrospection of security solutions for software-defined Cyber–Physical System against DDoS and IoT-DDoS attacks53
Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades53
Cyber security training for critical infrastructure protection: A literature review52
A survey of malware detection in Android apps: Recommendations and perspectives for future research52
Neural Natural Language Processing for unstructured data in electronic health records: A review50
Clustering protocols in wireless sensor network: A survey, classification, issues, and future directions47
A comprehensive survey on deep learning based malware detection techniques46
Asynchronous federated learning on heterogeneous devices: A survey45
Multidisciplinary Pattern Recognition applications: A review45
A survey of data center consolidation in cloud computing systems44
A comprehensive survey on authentication and privacy-preserving schemes in VANETs44
Homomorphic encryption systems statement: Trends and challenges44
Energy price prediction using data-driven models: A decade review42
When machine learning meets medical world: Current status and future challenges41
Network embedding: Taxonomies, frameworks and applications39
A survey of android application and malware hardening38
Energy aware optimized clustering for hierarchical routing in wireless sensor network38
A survey of privacy-preserving mechanisms for heterogeneous data types37
Securing microservices and microservice architectures: A systematic mapping study37
The importance of selecting clustering parameters in VANETs: A survey37
Distributed denial of service attacks in cloud: State-of-the-art of scientific and commercial solutions37
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