# | Title | Journal | Year | Citations |
---|
1 | Reservoir computing approaches to recurrent neural network training | Computer Science Review | 2009 | 1,963 |
2 | Graph clustering | Computer Science Review | 2007 | 1,473 |
3 | Traditional and recent approaches in background modeling for foreground detection: An overview | Computer Science Review | 2014 | 556 |
4 | A survey on deep learning and its applications | Computer Science Review | 2021 | 502 |
5 | Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools | Computer Science Review | 2015 | 481 |
6 | Agent Based Modelling and Simulation tools: A review of the state-of-art software | Computer Science Review | 2017 | 433 |
7 | The evolution of sentiment analysis—A review of research topics, venues, and top cited papers | Computer Science Review | 2018 | 388 |
8 | Worst-case equilibria | Computer Science Review | 2009 | 380 |
9 | Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) | Computer Science Review | 2021 | 308 |
10 | A Survey on quantum computing technology | Computer Science Review | 2019 | 287 |
11 | Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset | Computer Science Review | 2017 | 259 |
12 | Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges | Computer Science Review | 2018 | 251 |
13 | Understandable Big Data: A survey | Computer Science Review | 2015 | 237 |
14 | A survey on essential components of a self-sovereign identity | Computer Science Review | 2018 | 225 |
15 | Current status and key issues in image steganography: A survey | Computer Science Review | 2014 | 224 |
16 | DAG-based attack and defense modeling: Don’t miss the forest for the attack trees | Computer Science Review | 2014 | 211 |
17 | Named Data Networking: A survey | Computer Science Review | 2016 | 205 |
18 | A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability | Computer Science Review | 2020 | 203 |
19 | Big data and IoT-based applications in smart environments: A systematic review | Computer Science Review | 2021 | 196 |
20 | A survey of active learning in collaborative filtering recommender systems | Computer Science Review | 2016 | 193 |
21 | Indoor location based services challenges, requirements and usability of current solutions | Computer Science Review | 2017 | 189 |
22 | Recent Named Entity Recognition and Classification techniques: A systematic review | Computer Science Review | 2018 | 183 |
23 | New trends on moving object detection in video images captured by a moving camera: A survey | Computer Science Review | 2018 | 172 |
24 | Background subtraction in real applications: Challenges, current models and future directions | Computer Science Review | 2020 | 171 |
25 | The Critical Node Detection Problem in networks: A survey | Computer Science Review | 2018 | 168 |
26 | Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions | Computer Science Review | 2020 | 165 |
27 | Approximation and online algorithms for multidimensional bin packing: A survey | Computer Science Review | 2017 | 153 |
28 | On cloud security requirements, threats, vulnerabilities and countermeasures: A survey | Computer Science Review | 2019 | 152 |
29 | Integrating blockchain technology into the energy sector — from theory of blockchain to research and application of energy blockchain | Computer Science Review | 2020 | 151 |
30 | Contextual music information retrieval and recommendation: State of the art and challenges | Computer Science Review | 2012 | 148 |
31 | A survey of the algorithmic aspects of modular decomposition | Computer Science Review | 2010 | 143 |
32 | Cyber-insurance survey | Computer Science Review | 2017 | 140 |
33 | A taxonomy and survey of attacks against machine learning | Computer Science Review | 2019 | 139 |
34 | A survey on search-based software design | Computer Science Review | 2010 | 134 |
35 | Community detection in node-attributed social networks: A survey | Computer Science Review | 2020 | 131 |
36 | Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm | Computer Science Review | 2021 | 125 |
37 | Systematic analysis and review of stock market prediction techniques | Computer Science Review | 2019 | 121 |
38 | Certifying algorithms | Computer Science Review | 2011 | 119 |
39 | A state-of-the-art review of FMEA/FMECA including patents | Computer Science Review | 2017 | 117 |
40 | Application of deep learning for retinal image analysis: A review | Computer Science Review | 2020 | 117 |
41 | A comprehensive survey on the Multiple Traveling Salesman Problem: Applications, approaches and taxonomy | Computer Science Review | 2021 | 117 |
42 | A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews | Computer Science Review | 2021 | 117 |
43 | Usage control in computer security: A survey | Computer Science Review | 2010 | 116 |
44 | A Survey on malware analysis and mitigation techniques | Computer Science Review | 2019 | 116 |
45 | Cluster ensembles: A survey of approaches with recent extensions and applications | Computer Science Review | 2018 | 115 |
46 | A comprehensive survey and analysis of generative models in machine learning | Computer Science Review | 2020 | 115 |
47 | Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review | Computer Science Review | 2018 | 112 |
48 | Publication trends in gamification: A systematic mapping study | Computer Science Review | 2018 | 111 |
49 | A comprehensive and systematic look up into deep learning based object detection techniques: A review | Computer Science Review | 2020 | 110 |
50 | Cycle bases in graphs characterization, algorithms, complexity, and applications | Computer Science Review | 2009 | 109 |