---
title: "marcotcr/lime: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-marcotcr-lime
markdown_url: https://scholar4ai.com/code/github-marcotcr-lime.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# marcotcr/lime: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |

## Papers

*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](https://doi.org/10.1016/j.neunet.2025.108277) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Jose L. Carles-Bou, Enrique J. Carmona | 5 | cites it |
| 2025-12-25 | [Towards integration of privacy enhancing technologies in explainable artificial intelligence](https://doi.org/10.1016/j.knosys.2025.115235) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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](https://doi.org/10.1016/j.eswa.2025.128630) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Junghoon Oh | 2 | cites it |
| 2025-12-27 | [Towards an Empirical Foundation of Macro-economic Concepts: Causal Representation Learning Applied to Economic Complexity](https://doi.org/10.1007/s10614-025-11230-6) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).