Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

lightgbm-org/LightGBM: papers linking to it

GitHub · 18,947 stars · 4,100 forks · C++ · license MIT · created 2016 · github.com/lightgbm-org/LightGBM

← Code and data repositories cited in research papers

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.

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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#

2020: 1 paper2021: 2 papers2022: 2 papers2024: 2 papers2025: 1 paper
20202025
Papers linking to lightgbm-org/LightGBM by publication year
YearPapers
20201
20212
20222
20242
20251

Journals#

Journals whose papers link to lightgbm-org/LightGBM most
JournalPapers
Journal Of Big Data5
Expert Systems with Applications2
Neural Computing and Applications1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Papers linking to lightgbm-org/LightGBM, most cited first
PublishedTitleJournalAuthorsCitationsLink
2020-11-04CatBoost for big data: an interdisciplinary reviewJournal Of Big DataJohn Hancock, Taghi M. Khoshgoftaar1,840cites it
2022-05-31Soil moisture forecast for smart irrigation: The primetime for machine learningExpert Systems with ApplicationsRodrigo Marotti Togneri, Diego Felipe dos Santos, Gláuber Camponogara et al.108cites it
2021-05-27Detecting web attacks using random undersampling and ensemble learnersJournal Of Big DataRichard Zuech, John Hancock, Taghi M. Khoshgoftaar79cites it
2024-09-02CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn predictionJournal Of Big DataI Nyoman Mahayasa Adiputra, Paweena Wanchai29cites it
2021-05-20Investigating rarity in web attacks with ensemble learnersJournal Of Big DataRichard Zuech, John Hancock, Taghi M. Khoshgoftaar13cites it
2024-03-24A multi-task deep learning framework for forecasting sparse demand of demand responsive transitExpert Systems with ApplicationsJaehyung Lee, Yoonseo Choi, Jinhee Kim10cites it
2022-12-15A new feature popularity framework for detecting cyberattacks using popular featuresJournal Of Big DataRichard Zuech, John Hancock, Taghi M. Khoshgoftaar9cites it
2025-06-26Precise fraud detection and risk management with explainable artificial intelligenceNeural Computing and ApplicationsFatma M. Talaat, T. Medhat, Warda M. Shaban6cites 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

@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}
}

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