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Cited by 272

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Name disambiguation in author citations using a K-way spectral clustering method

Han, Hui, Zha, Hongyuan, Giles, C. Lee·2005·Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries

Abstract

An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliographies 1. This can produce name ambiguity which can affect the performance of document retrieval, web search, and database integration, and may cause improper attribution of credit. Proposed here is an unsupervised learning approach using K-way spectral clustering that disambiguates authors in citations. The approach utilizes three types of citation attributes: co-author names, paper titles, and publication venue titles 2. The approach is illustrated with 16 name datasets with citations collected from the DBLP database bibliography and author home pages and shows that name disambiguation can be achieved using these citation attributes.

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Metadata

Authors
Han, H., Zha, H., & Giles, C. L.
Venue
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Publisher
ACM
Published
2005-06-07
Pages
334-343
OpenAlex
W2056826404
Cited by
272
References
40
FWCI
22.28
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Name disambiguation in author citations using a K-way spectral clustering method. https://app.cochat.ai/papers/10.1145/1065385.1065462
The paper
Han, H., Zha, H., & Giles, C. L. (2005). Name disambiguation in author citations using a K-way spectral clustering method. Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries. https://doi.org/10.1145/1065385.1065462

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.