Topic · Rough Sets and Fuzzy Logic
Most cited papers in Rough Sets and Fuzzy Logic
What are the most cited papers in Rough Sets and Fuzzy Logic?
The most cited paper in Rough Sets and Fuzzy Logic is "Nearest neighbor pattern classification" (Thomas M. Cover, Peter E. Hart, 1967), with 16,834 citations. Next come "Bagging predictors" (16,492) and "Mining association rules between sets of items in large databases" (14,855).
Showing 50 of 96 papers. Every paper with more than 1,135 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Nearest neighbor pattern classification Thomas M. Cover, Peter E. Hart · IEEE Transactions on Information Theory | 1967 | 16,834 |
| 2 | Bagging predictors Leo Breiman · Machine Learning | Aug 1996 | 16,492 |
| 3 | Mining association rules between sets of items in large databases Rakesh Agrawal, Tomasz Imieliński, Arun N. Swami | Jun 1993 | 14,855 |
| 4 | Rough sets Zdzis aw Pawlak · International Journal of Parallel Programming | Oct 1982 | 12,304 |
| 5 | Fuzzy sets as a basis for a theory of possibility Lotfi A. Zadeh · Fuzzy Sets and Systems | 1978 | 8,108 |
| 6 | The relationship between Precision-Recall and ROC curves Jesse J. Davis, Mark Goadrich | 2006 | 6,494 |
| 7 | Mining frequent patterns without candidate generation Jiawei Han, Jian Pei, Yiwen Yin · ACM SIGMOD Record | 16 May 2000 | 6,393 |
| 8 | Mining sequential patterns Ramesh Kumar Agrawal, Ramakrishnan Srikant | 19 Nov 2002 | 5,175 |
| 9 | A Practical Guide to Support Vector Classication Chih‐Wei Hsu, Chih-Chung Chang, Chih‐Jen Lin | 2008 | 5,064 |
| 10 | Bayesian Network Classifiers Nir Friedman, Dan Geiger, Moisés Goldszmidt · Machine Learning | Nov 1997 | 4,769 |
| 11 | Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation David M W Powers · arXiv (Cornell University) | 11 Oct 2020 | 4,430 |
| 12 | Universal Approximation Using Radial-Basis-Function Networks Jihun Park, Irwin W. Sandberg · Neural Computation | Jun 1991 | 4,142 |
| 13 | Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning Hui Han, Wenyuan Wang, Binghuan Mao · Lecture notes in computer science | 2005 | 4,075 |
| 14 | Word association norms, mutual information, and lexicography Kenneth Church, Patrick Hanks | Mar 1990 | 3,666 |
| 15 | Rough sets Zdzisław Pawlak, Jerzy W. Grzymala‐Busse, Roman Słowiński et al. · Communications of the ACM | Nov 1995 | 3,212 |
| 16 | Theoretical and Empirical Analysis of ReliefF and RReliefF Marko Robnik‐Šikonja, Igor Kononenko · Machine Learning | 23 Sep 2003 | 3,031 |
| 17 | ROUGH FUZZY SETS AND FUZZY ROUGH SETS* Didier Dubois, Henri M. Prade · International Journal of General Systems | Jun 1990 | 3,003 |
| 18 | Estimating attributes: Analysis and extensions of RELIEF Igor Kononenko · Lecture notes in computer science | 1994 | 2,986 |
| 19 | Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic Lotfi A. Zadeh · Fuzzy Sets and Systems | Sep 1997 | 2,926 |
| 20 | Solving the multiple instance problem with axis-parallel rectangles Thomas G. Dietterich, Richard H. Lathrop, Tomás Lozano‐Pérez · Artificial Intelligence | 1997 | 2,921 |
| 21 | Generating fuzzy rules by learning from examples L.-X. Wang, Jerry M. Mendel · IEEE Transactions on Systems Man and Cybernetics | 1992 | 2,907 |
| 22 | Mining sequential patterns: Generalizations and performance improvements Ramakrishnan Srikant, Rakesh Agrawal · Lecture notes in computer science | 1996 | 2,716 |
| 23 | A fuzzy K-nearest neighbor algorithm James M. Keller, Michael Gray, James A. Givens · IEEE Transactions on Systems Man and Cybernetics | Jul 1985 | 2,685 |
| 24 | A 2-tuple fuzzy linguistic representation model for computing with words Luis M. Martínez, Francisco Herrera · IEEE Transactions on Fuzzy Systems | 2000 | 2,680 |
| 25 | Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach Jiawei Han, Jian Pei, Yiwen Yin et al. · Data Mining and Knowledge Discovery | 25 Nov 2003 | 2,636 |
| 26 | Application of Model-Selection Criteria to Some Problems in Multivariate Analysis Stanley L. Sclove · Psychometrika | Sep 1987 | 2,625 |
| 27 | Feature selection for classification Manoranjan Dash, Hua Liu · Intelligent Data Analysis | 1997 | 2,613 |
| 28 | Simplifying decision trees J. R. Quinlan · International Journal of Man-Machine Studies | Sep 1987 | 2,551 |
| 29 | A possibilistic approach to clustering Raghu J. Krishnapuram, James M. Keller · IEEE Transactions on Fuzzy Systems | May 1993 | 2,501 |
| 30 | L-fuzzy sets Joseph A. Goguen · Journal of Mathematical Analysis and Applications | Apr 1967 | 2,458 |
| 31 | A fuzzy-logic-based approach to qualitative modeling Michio Sugeno, Toyoki Yasukawa · IEEE Transactions on Fuzzy Systems | Feb 1993 | 2,420 |
| 32 | Irrelevant Features and the Subset Selection Problem George H. John, Ron Kohavi, Karl Pfleger · Elsevier eBooks | 1994 | 2,393 |
| 33 | Classification assessment methods Alaa Tharwat · Applied Computing and Informatics | 21 Aug 2018 | 2,388 |
| 34 | Hesitant Fuzzy Linguistic Term Sets for Decision Making Rosa M. Rodríguez, Luis M. Martínez, Francisco Herrera · IEEE Transactions on Fuzzy Systems | 4 Oct 2011 | 2,356 |
| 35 | Generalized Orthopair Fuzzy Sets Ronald R. Yager · IEEE Transactions on Fuzzy Systems | 30 Aug 2016 | 2,235 |
| 36 | Integrating classification and association rule mining Bing Liu, Wynne Hsu, Yiming Ma | 27 Aug 1998 | 2,217 |
| 37 | Using AUC and accuracy in evaluating learning algorithms Jin Huang, Charles X. Ling · IEEE Transactions on Knowledge and Data Engineering | 31 Jan 2005 | 2,173 |
| 38 | Fuzzy logic systems for engineering: a tutorial Jerry M. Mendel · Proceedings of the IEEE | Mar 1995 | 2,116 |
| 39 | Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition Thomas M. Cover · IEEE Transactions on Electronic Computers | Jun 1965 | 2,092 |
| 40 | RESTRUCTURING LATTICE THEORY: AN APPROACH BASED ON HIERARCHIES OF CONCEPTS Rudolf Wille · Lecture notes in computer science | 2009 | 2,092 |
| 41 | Rudiments of rough sets Zdzisław Pawlak, Andrzej Skowron · Information Sciences | 11 Jul 2006 | 2,064 |
| 42 | Variable precision rough set model Wojciech Ziarko · Journal of Computer and System Sciences | Feb 1993 | 2,037 |
| 43 | The CN2 Induction Algorithm Peter A. Clark, Tim Niblett · Machine Learning | Mar 1989 | 2,019 |
| 44 | Dynamic itemset counting and implication rules for market basket data Sergey Brin, Rajeev Motwani, Jeffrey David Ullman et al. | 1997 | 1,965 |
| 45 | A new model for learning in graph domains Marco Gori, Gabriele Monfardini, Franco Scarselli · Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. | 5 Jan 2006 | 1,948 |
| 46 | Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation Juan Diego Rodríguez, Aritz Pérez, Jose Antonio Lozano · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Dec 2009 | 1,910 |
| 47 | The max-min hill-climbing Bayesian network structure learning algorithm Ioannis Tsamardinos, Laura E. Brown, Constantin Aliferis · Machine Learning | 28 Mar 2006 | 1,877 |
| 48 | Improved Use of Continuous Attributes in C4.5 J. R. Quinlan · Journal of Artificial Intelligence Research | Mar 1996 | 1,856 |
| 49 | SPADE: An Efficient Algorithm for Mining Frequent Sequences Mohammed Javeed Zaki · Machine Learning | 2001 | 1,853 |
| 50 | PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth Jian Pei, Jiawei Han, Behzad Mortazavi-Asl et al. | 29 Aug 2005 | 1,812 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.