---
title: "Opfunu: An Open-source Python Library for Optimization…"
description: "3 papers in the tracked journals link to the Zenodo dataset Opfunu: An Open-source Python Library for Optimization Benchmark Functions in their Crossref records, the first in 2022; most of them (2) in 2024."
url: https://scholar4ai.com/code/zenodo-3620960
markdown_url: https://scholar4ai.com/code/zenodo-3620960.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the Zenodo dataset Opfunu: An Open-source Python Library for Optimization Benchmark Functions in their Crossref records, the first in 2022; most of them (2) in 2024. (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)
---

# Opfunu: An Open-source Python Library for Optimization Benchmark Functions: papers linking to it

Research papers in the 480 tracked journals that link to Opfunu: An Open-source Python Library for Optimization Benchmark Functions (https://doi.org/10.5281/zenodo.3620960), 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.

- Zenodo
- Software
- 2024
- archives github.com/thieu1995/opfunu
- https://doi.org/10.5281/zenodo.3620960

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

## Key findings

- 3 papers in the tracked journals link to the Zenodo dataset Opfunu: An Open-source Python Library for Optimization Benchmark Functions in their Crossref records, the first in 2022; most of them (2) in 2024.
- By category: AI (3); the journals with the most are Neural Computing and Applications (2) and Knowledge and Information Systems (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links Opfunu: An Open-source Python Library for Optimization Benchmark Functions.

## By year

*Papers linking to Opfunu: An Open-source Python Library for Optimization Benchmark Functions by publication year*

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2024 | 2 |

## Journals

*Journals whose papers link to Opfunu: An Open-source Python Library for Optimization Benchmark Functions most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems](https://doi.org/10.1007/s00521-024-09424-4) (Neural Computing and Applications, 2024)
  - [Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems](https://doi.org/10.1007/s10115-024-02179-3) (Knowledge and Information Systems, 2024) — cites the paper above

## Papers

*Papers linking to Opfunu: An Open-source Python Library for Optimization Benchmark Functions, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-02-12 | [SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems](https://doi.org/10.1007/s00521-024-09424-4) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Rui Zhong, Jun Yu, Chao Zhang et al. | 71 | cites it |
| 2022-03-06 | [FP-SMA: an adaptive, fluctuant population strategy for slime mould algorithm](https://doi.org/10.1007/s00521-022-07034-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Jassim Al-Fadhli, Ali Jaragh, Mohammad Gh. Alfailakawi et al. | 18 | cites it |
| 2024-07-15 | [Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems](https://doi.org/10.1007/s10115-024-02179-3) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Rui Zhong, Chao Zhang, Jun Yu | 14 | 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). Opfunu: An Open-source Python Library for Optimization Benchmark Functions: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-3620960

```bibtex
@misc{scholar4ai-code-zenodo-3620960,
  author = {{Scholar4AI}},
  title = {Opfunu: An Open-source Python Library for Optimization Benchmark Functions: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-3620960}},
  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/).