---
title: "keras-team/keras-tuner: papers citing it"
description: "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."
url: https://scholar4ai.com/code/github-keras-team-keras-tuner
markdown_url: https://scholar4ai.com/code/github-keras-team-keras-tuner.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

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

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.

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

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

## 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

*Papers linking to keras-team/keras-tuner by publication year*

| Year | Papers |
|---|---:|
| 2021 | 2 |
| 2022 | 6 |
| 2024 | 1 |
| 2025 | 5 |
| 2026 | 2 |

## Journals

*Journals whose papers link to keras-team/keras-tuner most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 4 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |
| [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 1 |

## Papers

*Papers linking to keras-team/keras-tuner, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-06-21 | [Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors](https://doi.org/10.1038/s42256-021-00356-5) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Claudionor N. Coelho, Aki Kuusela, Shan Li et al. | 226 | cites it |
| 2022-02-05 | [A deep LSTM network for the Spanish electricity consumption forecasting](https://doi.org/10.1007/s00521-021-06773-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | José Francisco Torres, Francisco Martinez Alvarez, Alicia Troncoso | 172 | cites it |
| 2022-08-16 | [Event prediction within directional change framework using a CNN-LSTM model](https://doi.org/10.1007/s00521-022-07687-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Ahoora Rostamian, John G. O’Hara | 72 | cites it |
| 2022-07-19 | [PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detection](https://doi.org/10.1016/j.eswa.2022.118178) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Subhrajit Mitra, Rajarshi Mukhopadhyay, Paramita Chattopadhyay | 50 | cites it |
| 2021-07-02 | [Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media](https://doi.org/10.1186/s40537-021-00488-w) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Yahya Albalawi, Jim Buckley, Nikola S. Nikolov | 42 | cites it |
| 2022-10-25 | [Statistical Evaluation of Deep Learning Models for Stock Return Forecasting](https://doi.org/10.1007/s10614-022-10338-3) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Fırat Yılmaz, Engin Yıldıztepe | 22 | cites it |
| 2022-12-06 | [Predictive End-to-End Enterprise Process Network Monitoring](https://doi.org/10.1007/s12599-022-00778-4) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Felix Oberdorf, Myriam Schaschek, Sven Weinzierl et al. | 19 | cites it |
| 2024-04-21 | [A new flexible and partially monotonic discrete choice model](https://doi.org/10.1016/j.trb.2024.102947) | [Transportation Research Part B Methodological](https://scholar4ai.com/journals/transportation-research-part-b-methodological.md) | Eui-Jin Kim, Prateek Bansal | 19 | cites it |
| 2025-06-19 | [Unsupervised re-parametrization for simultaneous dimension reduction and surrogate modeling: Application to aerodynamic shape optimization](https://doi.org/10.1016/j.eswa.2025.128624) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | youness karafi, Zakaria Moussaoui, Badr Abou El Majd | 4 | cites it |
| 2025-12-17 | [Decoding defensive performance: a machine learning approach to football player valuation](https://doi.org/10.1186/s40537-025-01302-7) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Michał Zarȩba, Tomasz Piłka, Tomasz Górecki et al. | 2 | cites it |
| 2022-08-25 | [Estimation of the Complexity of a Finite Mixture Distribution: From Well- to Less Known Methods](https://doi.org/10.1007/s42519-022-00289-1) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Fadoua Balabdaoui, Andrei Kolar, Yulia Kulagina et al. | 1 | cites it |
| 2025-05-31 | [EGAN: an ensemble adversarial network for topology-preserving EEG data generation for predicting cognitive load levels](https://doi.org/10.1007/s00521-025-11346-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Felix Havugimana, Kazi Ashraf Moinuddin, Mohammed Yeasin | 0 | cites it |
| 2025-06-01 | [Thread Counting in Plain Weave for Old Paintings Using Regression Deep Learning Models](https://doi.org/10.1007/s11263-025-02473-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Antonio Delgado, Juan José Murillo-Fuentes, Laura Alba Carcelén | 0 | cites it |
| 2025-07-08 | [Enhancing software and learning with Serbian student feedback corpora](https://doi.org/10.1007/s10579-025-09855-y) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Dragan Vidaković, Nikola Luburić, Aleksandar Kovačević et al. | 0 | cites it |
| 2026-01-01 | [Predicting postoperative complications in laparoscopic general surgery using machine and deep learning: a classification approach](https://doi.org/10.1007/s00521-025-11813-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Tyler Wallett, Amir Jafari, Xi Qian et al. | 0 | cites it |
| 2026-08-06 | [Framework for identifying technology value using multimodal-based joint deep learning model: evidence from South Korea](https://doi.org/10.1007/s11192-026-05734-7) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Min-Seung Kim, June-Woong Rhee, Sang-Hwa Lee 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). 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

```bibtex
@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}
}
```

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