marcotcr/lime: papers linking to it

GitHub · 12,169 stars · 1,848 forks · JavaScript · license BSD-2-Clause · created 2016 · github.com/marcotcr/lime

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to marcotcr/lime (https://github.com/marcotcr/lime), 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#

4 papers in the tracked journals link to the GitHub repository marcotcr/lime in their Crossref records, the first in 2025; most of them (4) in 2025.
By category: AI (3) and Economics (1); the journals with the most are Expert Systems with Applications (1), Neural Networks (1) and Knowledge-Based Systems (1).

By year#

20252025

Papers linking to marcotcr/lime by publication year
Year	Papers
2025	4

Journals#

Journals whose papers link to marcotcr/lime most
Journal	Papers
Expert Systems with Applications	1
Neural Networks	1
Knowledge-Based Systems	1
Computational Economics	1

Papers linking to marcotcr/lime, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-11-03	Achieving faithful explainability in feedforward neural networks through accurately computed feature attribution	Neural Networks	Jose L. Carles-Bou, Enrique J. Carmona	5	cites it
2025-12-25	Towards integration of privacy enhancing technologies in explainable artificial intelligence	Knowledge-Based Systems	Sonal Allana, Rozita A. Dara, Xiaodong Lin et al.	5	cites it
2025-06-15	A practical approach to detecting file timestamp manipulation for digital forensic investigations	Expert Systems with Applications	Junghoon Oh	2	cites it
2025-12-27	Towards an Empirical Foundation of Macro-economic Concepts: Causal Representation Learning Applied to Economic Complexity	Computational Economics	Patrick F. Burauel, Justin Hong, Frederick Eberhardt	0	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). marcotcr/lime: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-marcotcr-lime

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

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