dtwclust (R package): papers linking to it

CRAN · CRAN.R-project.org/package=dtwclust

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to dtwclust (R package) (https://CRAN.R-project.org/package=dtwclust), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to dtwclust (R package) in their Crossref records, the first in 2022; most of them (1) in 2025.
By category: AI (2) and Finance (1); the journals with the most are Financial Innovation (1), Journal Of Big Data (1) and Expert Systems with Applications (1).

By year#

20222025

Papers linking to dtwclust (R package) by publication year
Year	Papers
2022	1
2023	1
2025	1

Journals#

Journals whose papers link to dtwclust (R package) most
Journal	Papers
Financial Innovation	1
Journal Of Big Data	1
Expert Systems with Applications	1

Papers linking to dtwclust (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2022-01-12	Analysis of the cryptocurrency market using different prototype-based clustering techniques	Financial Innovation	Luis Lorenzo, Javier Arroyo	40	cites it
2023-07-22	A ternary-frequency cryptocurrency price prediction scheme by ensemble of clustering and reconstructing intrinsic mode functions based on CEEMDAN	Expert Systems with Applications	Ting-Jen Chang, Tian‐Shyug Lee, Chih-Te Yang et al.	19	cites it
2025-06-20	Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering	Journal Of Big Data	Ujjwal Kumar Singh, Sadaf Nasreen, Gaurav Tripathi et al.	3	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). dtwclust (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-dtwclust

@misc{scholar4ai-code-cran-dtwclust,
  author = {{Scholar4AI}},
  title = {dtwclust (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-dtwclust}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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