---
title: "lightgbm-org/LightGBM: papers citing it"
description: "8 papers in the tracked journals link to the GitHub repository lightgbm-org/LightGBM in their Crossref records, the first in 2020; most of them (2) in 2024."
url: https://scholar4ai.com/code/github-lightgbm-org-lightgbm
markdown_url: https://scholar4ai.com/code/github-lightgbm-org-lightgbm.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "8 papers in the tracked journals link to the GitHub repository lightgbm-org/LightGBM in their Crossref records, the first in 2020; most of them (2) in 2024. (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)
---

# lightgbm-org/LightGBM: papers linking to it

Research papers in the 480 tracked journals that link to lightgbm-org/LightGBM (https://github.com/lightgbm-org/LightGBM), 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
- 18,947 stars
- 4,100 forks
- C++
- license MIT
- created 2016
- https://github.com/lightgbm-org/LightGBM

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

## Key findings

- 8 papers in the tracked journals link to the GitHub repository lightgbm-org/LightGBM in their Crossref records, the first in 2020; most of them (2) in 2024.
- By category: AI (8); the journals with the most are Journal Of Big Data (5), Expert Systems with Applications (2) and Neural Computing and Applications (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links lightgbm-org/LightGBM.

## By year

*Papers linking to lightgbm-org/LightGBM by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 2 |
| 2022 | 2 |
| 2024 | 2 |
| 2025 | 1 |

## Journals

*Journals whose papers link to lightgbm-org/LightGBM most*

| Journal | Papers |
|---|---:|
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 5 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [CatBoost for big data: an interdisciplinary review](https://doi.org/10.1186/s40537-020-00369-8) (Journal Of Big Data, 2020)
  - [Detecting web attacks using random undersampling and ensemble learners](https://doi.org/10.1186/s40537-021-00460-8) (Journal Of Big Data, 2021) — cites the paper above

## Papers

*Papers linking to lightgbm-org/LightGBM, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-11-04 | [CatBoost for big data: an interdisciplinary review](https://doi.org/10.1186/s40537-020-00369-8) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | John Hancock, Taghi M. Khoshgoftaar | 1,840 | cites it |
| 2022-05-31 | [Soil moisture forecast for smart irrigation: The primetime for machine learning](https://doi.org/10.1016/j.eswa.2022.117653) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Rodrigo Marotti Togneri, Diego Felipe dos Santos, Gláuber Camponogara et al. | 108 | cites it |
| 2021-05-27 | [Detecting web attacks using random undersampling and ensemble learners](https://doi.org/10.1186/s40537-021-00460-8) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Richard Zuech, John Hancock, Taghi M. Khoshgoftaar | 79 | cites it |
| 2024-09-02 | [CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction](https://doi.org/10.1186/s40537-024-00982-x) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | I Nyoman Mahayasa Adiputra, Paweena Wanchai | 29 | cites it |
| 2021-05-20 | [Investigating rarity in web attacks with ensemble learners](https://doi.org/10.1186/s40537-021-00462-6) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Richard Zuech, John Hancock, Taghi M. Khoshgoftaar | 13 | cites it |
| 2024-03-24 | [A multi-task deep learning framework for forecasting sparse demand of demand responsive transit](https://doi.org/10.1016/j.eswa.2024.123833) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Jaehyung Lee, Yoonseo Choi, Jinhee Kim | 10 | cites it |
| 2022-12-15 | [A new feature popularity framework for detecting cyberattacks using popular features](https://doi.org/10.1186/s40537-022-00661-9) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Richard Zuech, John Hancock, Taghi M. Khoshgoftaar | 9 | cites it |
| 2025-06-26 | [Precise fraud detection and risk management with explainable artificial intelligence](https://doi.org/10.1007/s00521-025-11396-y) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Fatma M. Talaat, T. Medhat, Warda M. Shaban | 6 | 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). lightgbm-org/LightGBM: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-lightgbm-org-lightgbm

```bibtex
@misc{scholar4ai-code-github-lightgbm-org-lightgbm,
  author = {{Scholar4AI}},
  title = {lightgbm-org/LightGBM: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-lightgbm-org-lightgbm}},
  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/).