---
title: "SheffieldML/GPyOpt: papers citing this GitHub repository"
description: "6 papers in the tracked journals link to the GitHub repository SheffieldML/GPyOpt in their Crossref records, the first in 2019; most of them (2) in 2025."
url: https://scholar4ai.com/code/github-sheffieldml-gpyopt
markdown_url: https://scholar4ai.com/code/github-sheffieldml-gpyopt.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to the GitHub repository SheffieldML/GPyOpt in their Crossref records, the first in 2019; most of them (2) in 2025. (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)
---

# SheffieldML/GPyOpt: papers linking to it

Research papers in the 480 tracked journals that link to SheffieldML/GPyOpt (https://github.com/SheffieldML/GPyOpt), 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
- 943 stars
- 258 forks
- Jupyter Notebook
- license BSD-3-Clause
- created 2014
- archived
- https://github.com/SheffieldML/GPyOpt

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

## Key findings

- 6 papers in the tracked journals link to the GitHub repository SheffieldML/GPyOpt in their Crossref records, the first in 2019; most of them (2) in 2025.
- By category: Operations Research (5) and AI (1); the journals with the most are Computational Optimization and Applications (2), Journal of Optimization Theory and Applications (1) and Computers & Industrial Engineering (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links SheffieldML/GPyOpt.

## By year

*Papers linking to SheffieldML/GPyOpt by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2025 | 2 |

## Journals

*Journals whose papers link to SheffieldML/GPyOpt most*

| Journal | Papers |
|---|---:|
| [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | 2 |
| [Journal of Optimization Theory and Applications](https://scholar4ai.com/journals/journal-of-optimization-theory-and-applications.md) | 1 |
| [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | 1 |
| [Optimization and Engineering](https://scholar4ai.com/journals/optimization-and-engineering.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Global optimization via inverse distance weighting and radial basis functions](https://doi.org/10.1007/s10589-020-00215-w) (Computational Optimization and Applications, 2020)
  - [Global and Preference-Based Optimization with Mixed Variables Using Piecewise Affine Surrogates](https://doi.org/10.1007/s10957-024-02596-y) (Journal of Optimization Theory and Applications, 2025) — cites the paper above

## Papers

*Papers linking to SheffieldML/GPyOpt, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-08-20 | [Continuous control with Stacked Deep Dynamic Recurrent Reinforcement Learning for portfolio optimization](https://doi.org/10.1016/j.eswa.2019.112891) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Amine Mohamed Aboussalah, Chi-Guhn Lee | 110 | cites it |
| 2020-07-27 | [Global optimization via inverse distance weighting and radial basis functions](https://doi.org/10.1007/s10589-020-00215-w) | [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | Alberto Bemporad | 69 | cites it |
| 2021-04-20 | [Bayesian optimization for a multiple-component system with target values](https://doi.org/10.1016/j.cie.2021.107310) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | Jihwan Jeong, Hayong Shin | 7 | cites it |
| 2025-01-08 | [Global and Preference-Based Optimization with Mixed Variables Using Piecewise Affine Surrogates](https://doi.org/10.1007/s10957-024-02596-y) | [Journal of Optimization Theory and Applications](https://scholar4ai.com/journals/journal-of-optimization-theory-and-applications.md) | Mengjia Zhu, Alberto Bemporad | 5 | cites it |
| 2025-12-26 | [A derivative-free approach to mixed integer constrained multiobjective nonsmooth black-box optimization](https://doi.org/10.1007/s10589-025-00758-w) | [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | Giampaolo Liuzzi, Stefano Lucidi | 1 | cites it |
| 2022-01-13 | [A novel optimization perspective to the problem of designing sequences of tasks in a reinforcement learning framework](https://doi.org/10.1007/s11081-021-09708-x) | [Optimization and Engineering](https://scholar4ai.com/journals/optimization-and-engineering.md) | Ruggiero Seccia, Francesco Foglino, Matteo Leonetti 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). SheffieldML/GPyOpt: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-sheffieldml-gpyopt

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