google/cluster-data: papers linking to it

GitHub · 1,112 stars · 217 forks · TeX · created 2015 · github.com/google/cluster-data

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to google/cluster-data (https://github.com/google/cluster-data), 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#

7 papers in the tracked journals link to the GitHub repository google/cluster-data in their Crossref records, the first in 2020; most of them (2) in 2025.
By category: AI (5), Information Systems (1) and Operations Research (1); the journals with the most are Neural Computing and Applications (2), Applied Intelligence (1) and Journal of Industrial Information Integration (1).

By year#

20202026

Papers linking to google/cluster-data by publication year
Year	Papers
2020	1
2021	1
2022	1
2024	1
2025	2
2026	1

Journals#

Journals whose papers link to google/cluster-data most
Journal	Papers
Neural Computing and Applications	2
Applied Intelligence	1
Journal of Industrial Information Integration	1
Queueing Systems	1
Knowledge-Based Systems	1

Papers linking to google/cluster-data, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-01-27	Open problems in queueing theory inspired by datacenter computing	Queueing Systems	Mor Harchol‐Balter	62	cites it
2022-02-09	Workflow performance prediction based on graph structure aware deep attention neural network	Journal of Industrial Information Integration	Jixiang Yu, Ming Yu Gao, Yuchan Li et al.	35	cites it
2020-01-29	Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis	Journal Of Big Data	Somayyeh Taheri, Maziar Goudarzi, Osamu Yoshie	24	cites it
2025-12-05	Federated LSTM autoencoders for time series anomaly detection in production-scale HPC systems	Knowledge-Based Systems	Emmen Farooq, Michela Milano, Andrea Borghesi	5	cites it
2024-09-18	DAGCN: hybrid model for efficiently handling joint node and link prediction in cloud workflows	Applied Intelligence	Ruimin Ma, Junqi Gao, Li Cheng et al.	2	cites it
2025-10-15	CloudSched-GA: an adaptive genetic optimizer for efficient and balanced task scheduling in cloud ecosystems	Neural Computing and Applications	Fatma M. Talaat, Alyaa A. Hamza	1	cites it
2026-06-01	An intelligent scheduling and resource prediction framework using multidimensional data streams and deep reinforcement learning	Neural Computing and Applications	Wei Deng, Ziliang Qiu, X F Liu et al.	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). google/cluster-data: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-google-cluster-data

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

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