DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION: papers linking to it

Zenodo · Text · 2018 · doi.org/10.5281/zenodo.1493930

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION (https://doi.org/10.5281/zenodo.1493930), 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 Zenodo dataset DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION in their Crossref records, the first in 2022; most of them (2) in 2022.
By category: Economics (1), Operations Research (1) and AI (1); the journals with the most are Environmental Economics and Policy Studies (1), Decision Analytics Journal (1) and Artificial Intelligence Review (1).

By year#

20222025

Papers linking to DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION by publication year
Year	Papers
2022	2
2025	1

Journals#

Journals whose papers link to DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION most
Journal	Papers
Environmental Economics and Policy Studies	1
Decision Analytics Journal	1
Artificial Intelligence Review	1

Papers linking to DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-11-17	Deep learning in drug discovery: an integrative review and future challenges	Artificial Intelligence Review	Heba Askr, Enas Elgeldawi, Heba Aboul Ella et al.	393	cites it
2022-03-18	Digital-twin-based decision support of dynamic maintenance task prioritization using simulation-based optimization and genetic programming	Decision Analytics Journal	Marcus Frantzén, Sunith Bandaru, Amos H.C. Ng	32	cites it
2025-02-14	Digital twin: a driver of sustainable smart cities? Evidence from a bibliometric analysis	Environmental Economics and Policy Studies	Michelle Mongo, Nabyla Daidj	8	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). DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-1493930

@misc{scholar4ai-code-zenodo-1493930,
  author = {{Scholar4AI}},
  title = {DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-1493930}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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