Improving a Street-Based Geocoding Algorithm Using Machine Learning Techniques
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2020/08/13
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Journal
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Indian UGC (journal)
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Refrences49
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Citations9
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Kangjae Lee ORCID (unauthenticated)
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Alexis Richard C. Claridades ORCID (unauthenticated)
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Jiyeong Lee
Abstract
Cite
Lee, Kangjae, et al. “Improving a Street-Based Geocoding Algorithm Using Machine Learning Techniques”. Applied Sciences, vol. 10, no. 16, 2020, p. 5628, https://doi.org/10.3390/app10165628.
Lee, K., Claridades, A. R. C., & Lee, J. (2020). Improving a Street-Based Geocoding Algorithm Using Machine Learning Techniques. Applied Sciences, 10(16), 5628. https://doi.org/10.3390/app10165628
Lee, Kangjae, Alexis Richard C. Claridades, and Jiyeong Lee. “Improving a Street-Based Geocoding Algorithm Using Machine Learning Techniques”. Applied Sciences 10, no. 16 (2020): 5628. https://doi.org/10.3390/app10165628.
Lee K, Claridades ARC, Lee J. Improving a Street-Based Geocoding Algorithm Using Machine Learning Techniques. Applied Sciences. 2020;10(16):5628.
Journal Categories
Science
Biology (General)
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Chemistry
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Including alchemy
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Chemical technology
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Materials of engineering and construction
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Using product similarity for adding business value and returning customers | 2010 | |||
| Generalized Mongue-Elkan method for approximate text string comparison | 2009 | |||
| From text to geographic coordinates: The current state of geocoding | 2007 | |||
| 3D GIS for geo-coding human activity in micro-scale urban environments | 2004 | |||
| String matching with metric trees using an approximate distance | 2002 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Unveiling the impact of machine learning algorithms on the quality of online geocoding services: a case study using COVID-19 data | Journal of Geographical Systems |
| 2024 | |
Direct geocoding of street intersections in text message analysis tasks | E3S Web of Conferences |
| 2024 | |
Multi‐unit building address geocoding: An approach without indoor location reference data | Transactions in GIS |
| 2023 | |
A critical analysis of the What3Words geocoding algorithm | PLOS ONE |
| 2023 | |
Development of an Algorithm to Evaluate the Quality of Geolocated Addresses in Urban Areas | ISPRS International Journal of Geo-Information |
| 2023 |
Citations Analysis
The category
Social Sciences 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled NVIS Multicarrier Modulations for Remote-Sensor Applications and was published in 2020. The most recent citation comes from a 2024 study titled Unveiling the impact of machine learning algorithms on the quality of online geocoding services: a case study using COVID-19 data. This article reached its peak citation in 2023, with 3 citations. It has been cited in 8 different journals, 75% of which are open access. Among related journals, the ISPRS International Journal of Geo-Information cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.