The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco
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Citations
Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Caragliu, A., Del Bo, C., & Nijkamp, P. (2011) · Journal of Urban Technology · doi:10.1080/10630732.2011.601117 · Cited by 3,409
Will the real smart city please stand up?: Intelligent, progressive or entrepreneurial?
Hollands, R. G. (2008) · City · doi:10.1080/13604810802479126 · Cited by 3,025
Cited by
Smart sustainable cities of the future: An extensive interdisciplinary literature review
Bibri, S. E., & Krogstie, J. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.02.016 · Cited by 1,599
What are the differences between sustainable and smart cities?
Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., & Airaksinen, M. (2017) · Cities · doi:10.1016/j.cities.2016.09.009 · Cited by 1,378
Appio, F. P., Lima, M., & Paroutis, S. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.12.018 · Cited by 747
Smart Sustainable Cities: Definition and Challenges
Höjer, M., & Wangel, J. (2015) · Advances in Intelligent Systems and Computing · doi:10.1007/978-3-319-09228-7_20 · Cited by 570
Smart city governance in developing countries: a systematic literature review
Tan, S., & Taeihagh, A. (2020) · Sustainability · doi:10.3390/su12030899 · Cited by 491
Metadata
- Authors
- Lee, J. H., Hancock, M. G., & Hu, M.-C.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 89
- Pages
- 80-99
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2017685137
- Cited by
- 842
- References
- 3
- FWCI
- 41.44
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.