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

keras-team/keras-tuner: papers linking to it

GitHub · 2,921 stars · 404 forks · Python · license Apache-2.0 · created 2019 · github.com/keras-team/keras-tuner

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to keras-team/keras-tuner (https://github.com/keras-team/keras-tuner), 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#

  • 16 papers in the tracked journals link to the GitHub repository keras-team/keras-tuner in their Crossref records, the first in 2021; most of them (6) in 2022.
  • By category: AI (11), Economics (1) and Information Systems (1); the journals with the most are Neural Computing and Applications (4), Expert Systems with Applications (2) and Journal Of Big Data (2).

By year#

2021: 2 papers2022: 6 papers2024: 1 paper2025: 5 papers2026: 2 papers
20212026
Papers linking to keras-team/keras-tuner by publication year
YearPapers
20212
20226
20241
20255
20262

Journals#

Papers linking to keras-team/keras-tuner, most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-06-21Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectorsNature Machine IntelligenceClaudionor N. Coelho, Aki Kuusela, Shan Li et al.226cites it
2022-02-05A deep LSTM network for the Spanish electricity consumption forecastingNeural Computing and ApplicationsJosé Francisco Torres, Francisco Martinez Alvarez, Alicia Troncoso172cites it
2022-08-16Event prediction within directional change framework using a CNN-LSTM modelNeural Computing and ApplicationsAhoora Rostamian, John G. O’Hara72cites it
2022-07-19PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detectionExpert Systems with ApplicationsSubhrajit Mitra, Rajarshi Mukhopadhyay, Paramita Chattopadhyay50cites it
2021-07-02Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social mediaJournal Of Big DataYahya Albalawi, Jim Buckley, Nikola S. Nikolov42cites it
2022-10-25Statistical Evaluation of Deep Learning Models for Stock Return ForecastingComputational EconomicsFırat Yılmaz, Engin Yıldıztepe22cites it
2022-12-06Predictive End-to-End Enterprise Process Network MonitoringBusiness & Information Systems EngineeringFelix Oberdorf, Myriam Schaschek, Sven Weinzierl et al.19cites it
2024-04-21A new flexible and partially monotonic discrete choice modelTransportation Research Part B MethodologicalEui-Jin Kim, Prateek Bansal19cites it
2025-06-19Unsupervised re-parametrization for simultaneous dimension reduction and surrogate modeling: Application to aerodynamic shape optimizationExpert Systems with Applicationsyouness karafi, Zakaria Moussaoui, Badr Abou El Majd4cites it
2025-12-17Decoding defensive performance: a machine learning approach to football player valuationJournal Of Big DataMichał Zarȩba, Tomasz Piłka, Tomasz Górecki et al.2cites it
2022-08-25Estimation of the Complexity of a Finite Mixture Distribution: From Well- to Less Known MethodsJournal of Statistical Theory and PracticeFadoua Balabdaoui, Andrei Kolar, Yulia Kulagina et al.1cites it
2025-05-31EGAN: an ensemble adversarial network for topology-preserving EEG data generation for predicting cognitive load levelsNeural Computing and ApplicationsFelix Havugimana, Kazi Ashraf Moinuddin, Mohammed Yeasin0cites it
2025-06-01Thread Counting in Plain Weave for Old Paintings Using Regression Deep Learning ModelsInternational Journal of Computer VisionAntonio Delgado, Juan José Murillo-Fuentes, Laura Alba Carcelén0cites it
2025-07-08Enhancing software and learning with Serbian student feedback corporaLanguage Resources and EvaluationDragan Vidaković, Nikola Luburić, Aleksandar Kovačević et al.0cites it
2026-01-01Predicting postoperative complications in laparoscopic general surgery using machine and deep learning: a classification approachNeural Computing and ApplicationsTyler Wallett, Amir Jafari, Xi Qian et al.0cites it
2026-08-06Framework for identifying technology value using multimodal-based joint deep learning model: evidence from South KoreaScientometricsMin-Seung Kim, June-Woong Rhee, Sang-Hwa Lee et al.0cites 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). keras-team/keras-tuner: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-keras-team-keras-tuner

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

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