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Cited by 678

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Enterprise Systems: State-of-the-Art and Future Trends

Xu, Li Da·2011·IEEE Transactions on Industrial Informatics

Abstract

Rapid advances in industrial information integration methods have spurred tremendous growth in the use of enterprise systems. Consequently, a variety of techniques have been used for probing enterprise systems. These techniques include business process management, workflow management, Enterprise Application Integration (EAI), Service-Oriented Architecture (SOA), grid computing, and others. Many applications require a combination of these techniques, which is giving rise to the emergence of enterprise systems. Development of the techniques has originated from different disciplines and has the potential to significantly improve the performance of enterprise systems. However, the lack of powerful tools still poses a major hindrance to exploiting the full potential of enterprise systems. In particular, formal methods and systems methods are crucial for modeling complex enterprise systems, which poses unique challenges. In this paper, we briefly survey the state of the art in the area of enterprise systems as they relate to industrial informatics.

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Metadata

Authors
Xu, L. D.
Venue
IEEE Transactions on Industrial Informatics
Published
2011-11
Volume
7
Issue
4
Pages
630-640
ISSN
  • 1551-3203 (ISSN-L)
  • 1941-0050
OpenAlex
W2165887572
Cited by
678
References
33
FWCI
130.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enterprise Systems: State-of-the-Art and Future Trends. https://app.cochat.ai/papers/10.1109/tii.2011.2167156
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Xu, L. D. (2011). Enterprise Systems: State-of-the-Art and Future Trends. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2011.2167156

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