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IEEE Transactions on Knowledge and Data Engineering
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Top Articles
IEEE Transactions on Knowledge and Data Engineering
Computer Science
,
Mathematics
,
Information Systems
,
Software Engineering
4.2
(top 4%)
Impact Factor
5.2
(top 4%)
extended IF
166
(top 2%)
H-Index
2.7K
authors
5.1K
papers
186.2K
citations
4.9K
citing journals
46K
citing authors
Most Cited Articles of IEEE Transactions on Knowledge and Data Engineering
Title
Year
Citations
A Survey on Transfer Learning
2010
9K
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2005
5.3K
Learning from Imbalanced Data
2009
3.9K
Toward integrating feature selection algorithms for classification and clustering
2005
1.4K
A Review on Multi-Label Learning Algorithms
2014
1.4K
Data mining with big data
2014
1.3K
Workflow mining: discovering process models from event logs
2004
1.2K
The Google Similarity Distance
2007
1K
PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities
2004
978
Using AUC and accuracy in evaluating learning algorithms
2005
965
Data mining: an overview from a database perspective
1996
952
Scalable algorithms for association mining
2000
843
Duplicate Record Detection: A Survey
2007
813
Training cost-sensitive neural networks with methods addressing the class imbalance problem
2006
736
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation
2007
707
Benchmarking attribute selection techniques for discrete class data mining
2003
707
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
2006
663
Cluster analysis for gene expression data: a survey
2004
662
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017
657
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018
641
On Modularity Clustering
2008
631
CLARANS: a method for clustering objects for spatial data mining
2002
628
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How are inpact factors calculated?
The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.
extended IF
also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.
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