The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantifying Spatiotemporal Patterns of Urban Land-use Change in Four Cities of China with Time Series Landscape Metrics
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Citations
Cites
Connecting landscape patterns to ecosystem and population processes
Kareiva, P., & Wennergren, U. (1995) · Nature · doi:10.1038/373299a0 · Cited by 581
Cited by
Van de Voorde, T., Jacquet, W., & Canters, F. (2011) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2011.03.017 · Cited by 178
Pham, V.-M., Van Nghiem, S., Van Pham, C., Luu, M. P. T., & Bui, Q.-T. (2021) · Landscape Ecology · doi:10.1007/s10980-020-01189-0 · Cited by 30
Biogeography and landscape ecology
Kent, M. (2007) · Progress in Physical Geography: Earth and Environment · doi:10.1177/0309133307079059 · Cited by 21
Quantification of Urban Sprawl for Past-To-Future in Abha City, Saudi Arabia
AlQadhi, S., Mallick, J., Talukdar, S., Ali Bindajam, A., Ali A. Shohan, A., & Shahfahad (2021) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2021.016640 · Cited by 16
Metadata
- Authors
- Seto, K. C., & Fragkias, M.
- Venue
- Landscape Ecology
- Published
- 2005-11
- Volume
- 20
- Issue
- 7
- Pages
- 871-888
- ISSN
- 0921-2973 (ISSN-L)
- 1572-9761
- OpenAlex
- W2061935177
- Cited by
- 671
- References
- 1
- FWCI
- 10.03
- 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.
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How to cite
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- This page
- CoChat. (2026). Citation check: Quantifying Spatiotemporal Patterns of Urban Land-use Change in Four Cities of China with Time Series Landscape Metrics. https://app.cochat.ai/papers/10.1007/s10980-005-5238-8
- The paper
- Seto, K. C., & Fragkias, M. (2005). Quantifying Spatiotemporal Patterns of Urban Land-use Change in Four Cities of China with Time Series Landscape Metrics. Landscape Ecology. https://doi.org/10.1007/s10980-005-5238-8
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.
