IEEE Transactions on Knowledge and Data Engineering
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In The Last Decade
IEEE Transactions on Knowledge and Data Engineering
5.9k papers receiving 201.4k citations
Fields of papers published in IEEE Transactions on Knowledge and Data Engineering
This network shows the impact of papers published in IEEE Transactions on Knowledge and Data Engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in IEEE Transactions on Knowledge and Data Engineering.
Countries where authors publish in IEEE Transactions on Knowledge and Data Engineering
This map shows the geographic impact of research published in IEEE Transactions on Knowledge and Data Engineering. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in IEEE Transactions on Knowledge and Data Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Knowledge and Data Engineering more than expected).
- A Survey on Transfer Learning (2009)
- Learning from Imbalanced Data (2009)
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions (2005)
- A Review on Multi-Label Learning Algorithms (2013)
- Data mining with big data (2013)
- Knowledge Graph Embedding: A Survey of Approaches and Applications (2017)
- A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications (2018)
- Protecting respondents identities in microdata release (2001)
- Workflow mining: discovering process models from event logs (2004)
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2017)
- Deep Learning on Graphs: A Survey (2020)
- PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities (2004)
- MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning (2012)
- Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation (2007)
- A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications (2021)
- Nonnegative Matrix Factorization: A Comprehensive Review (2012)
- A framework for analysis of data quality research (1995)
- Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection (2013)
- Sample Pair Selection for Attribute Reduction with Rough Set (2012)
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.