| # | Title | Journal | Year | Citations |
|---|
| 1 | A Survey of Outlier Detection Methodologies | Artificial Intelligence Review | 2004 | 2,350 |
| 2 | Ensemble-based classifiers | Artificial Intelligence Review | 2010 | 2,049 |
| 3 | A survey of the recent architectures of deep convolutional neural networks | Artificial Intelligence Review | 2020 | 1,454 |
| 4 | A comprehensive survey: artificial bee colony (ABC) algorithm and applications | Artificial Intelligence Review | 2014 | 1,420 |
| 5 | Locally Weighted Learning | Artificial Intelligence Review | 1997 | 1,143 |
| 6 | Vision based hand gesture recognition for human computer interaction: a survey | Artificial Intelligence Review | 2015 | 1,125 |
| 7 | Machine learning: a review of classification and combining techniques | Artificial Intelligence Review | 2006 | 1,033 |
| 8 | Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis | Artificial Intelligence Review | 1998 | 905 |
| 9 | Recent advances in differential evolution: a survey and experimental analysis | Artificial Intelligence Review | 2010 | 871 |
| 10 | Decision trees: a recent overview | Artificial Intelligence Review | 2013 | 791 |
| 11 | Review on Computational Trust and Reputation Models | Artificial Intelligence Review | 2005 | 737 |
| 12 | A Perspective View and Survey of Meta-Learning | Artificial Intelligence Review | 2002 | 694 |
| 13 | Class Noise vs. Attribute Noise: A Quantitative Study | Artificial Intelligence Review | 2004 | 682 |
| 14 | An introduction to case-based reasoning | Artificial Intelligence Review | 1992 | 677 |
| 15 | Visual simultaneous localization and mapping: a survey | Artificial Intelligence Review | 2015 | 659 |
| 16 | Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators | Artificial Intelligence Review | 1999 | 612 |
| 17 | A review on the long short-term memory model | Artificial Intelligence Review | 2020 | 563 |
| 18 | A comparative analysis of gradient boosting algorithms | Artificial Intelligence Review | 2021 | 563 |
| 19 | A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms | Artificial Intelligence Review | 2013 | 558 |
| 20 | An optimizing BP neural network algorithm based on genetic algorithm | Artificial Intelligence Review | 2011 | 525 |
| 21 | A survey: algorithms simulating bee swarm intelligence | Artificial Intelligence Review | 2009 | 518 |
| 22 | (null) | Artificial Intelligence Review | 1997 | 506 |
| 23 | Metaheuristic research: a comprehensive survey | Artificial Intelligence Review | 2019 | 480 |
| 24 | Recent automatic text summarization techniques: a survey | Artificial Intelligence Review | 2017 | 475 |
| 25 | A Taxonomy of Recommender Agents on the Internet | Artificial Intelligence Review | 2003 | 456 |
| 26 | Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey | Artificial Intelligence Review | 2019 | 453 |
| 27 | A Survey of Automated Timetabling | Artificial Intelligence Review | 1999 | 450 |
| 28 | Extreme learning machine: algorithm, theory and applications | Artificial Intelligence Review | 2015 | 412 |
| 29 | Sentiment analysis using deep learning architectures: a review | Artificial Intelligence Review | 2020 | 399 |
| 30 | Deep semantic segmentation of natural and medical images: a review | Artificial Intelligence Review | 2021 | 398 |
| 31 | Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey | Artificial Intelligence Review | 2019 | 377 |
| 32 | Separate-and-Conquer Rule Learning | Artificial Intelligence Review | 1999 | 370 |
| 33 | Review of brain MRI image segmentation methods | Artificial Intelligence Review | 2010 | 354 |
| 34 | Novel meta-heuristic bald eagle search optimisation algorithm | Artificial Intelligence Review | 2020 | 352 |
| 35 | Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications | Artificial Intelligence Review | 2014 | 340 |
| 36 | A review of unsupervised feature selection methods | Artificial Intelligence Review | 2020 | 340 |
| 37 | A study of the effect of different types of noise on the precision of supervised learning techniques | Artificial Intelligence Review | 2010 | 336 |
| 38 | Application of Spreading Activation Techniques in Information Retrieval | Artificial Intelligence Review | 1997 | 317 |
| 39 | Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 | Artificial Intelligence Review | 2015 | 309 |
| 40 | A review on deep learning for recommender systems: challenges and remedies | Artificial Intelligence Review | 2019 | 294 |
| 41 | Locally Weighted Learning for Control | Artificial Intelligence Review | 1997 | 292 |
| 42 | Recent progress in semantic image segmentation | Artificial Intelligence Review | 2019 | 291 |
| 43 | Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning | Artificial Intelligence Review | 2018 | 285 |
| 44 | A review of instance selection methods | Artificial Intelligence Review | 2010 | 284 |
| 45 | Problem formulations and solvers in linear SVM: a review | Artificial Intelligence Review | 2019 | 284 |
| 46 | A review on machine learning in 3D printing: applications, potential, and challenges | Artificial Intelligence Review | 2021 | 284 |
| 47 | A survey of learning-based techniques of email spam filtering | Artificial Intelligence Review | 2008 | 278 |
| 48 | Missing value imputation: a review and analysis of the literature (2006–2017) | Artificial Intelligence Review | 2020 | 272 |
| 49 | Evolutionary artificial neural networks: a review | Artificial Intelligence Review | 2013 | 264 |
| 50 | A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data | Artificial Intelligence Review | 2015 | 255 |
