Concrete Crack Images for Classification: papers linking to it

Mendeley Data · Dataset · 2018 · data.mendeley.com/datasets/5y9wdsg2zt

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Concrete Crack Images for Classification (https://data.mendeley.com/datasets/5y9wdsg2zt), 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 the Mendeley Data dataset Concrete Crack Images for Classification in their Crossref records, the first in 2023; most of them (1) in 2025.
By category: AI (3); the journals with the most are Machine Learning (2) and Expert Systems with Applications (1).

By year#

20232025

Papers linking to Concrete Crack Images for Classification by publication year
Year	Papers
2023	1
2024	1
2025	1

Journals#

Journals whose papers link to Concrete Crack Images for Classification most
Journal	Papers
Machine Learning	2
Expert Systems with Applications	1

Papers linking to Concrete Crack Images for Classification, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-03-12	MultiScaleCrackNet: A parallel multiscale deep CNN architecture for concrete crack classification	Expert Systems with Applications	R. Newlin Shebiah, Arivazhagan Selvaraj	46	cites it
2025-06-18	Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches	Machine Learning	Lizette Tello-Cifuentes, Johannio Marulanda, Peter Thomson	3	cites it
2023-08-21	Scale-preserving automatic concept extraction (SPACE)	Machine Learning	Andrés Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander et al.	1	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). Concrete Crack Images for Classification: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/mendeley-5y9wdsg2zt

@misc{scholar4ai-code-mendeley-5y9wdsg2zt,
  author = {{Scholar4AI}},
  title = {Concrete Crack Images for Classification: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/mendeley-5y9wdsg2zt}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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