---
title: "P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark"
description: "3 papers in the tracked journals link to the GitHub repository P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark in their Crossref records, the first in 2023; most of them (2) in 2024."
url: https://scholar4ai.com/code/github-p-n-suganthan-2020-bound-constrained-opt-benchmark
markdown_url: https://scholar4ai.com/code/github-p-n-suganthan-2020-bound-constrained-opt-benchmark.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 GitHub repository P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark in their Crossref records, the first in 2023; 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)
---

# P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark: papers linking to it

Research papers in the 480 tracked journals that link to P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark (https://github.com/P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark), 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
- 17 stars
- 10 forks
- created 2019
- https://github.com/P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark in their Crossref records, the first in 2023; most of them (2) in 2024.
- By category: AI (3); the journals with the most are Expert Systems with Applications (1), Applied Intelligence (1) and Knowledge-Based Systems (1).

## By year

*Papers linking to P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark by publication year*

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2024 | 2 |

## Journals

*Journals whose papers link to P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |

## Papers

*Papers linking to P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-12-22 | [Crested Porcupine Optimizer: A new nature-inspired metaheuristic](https://doi.org/10.1016/j.knosys.2023.111257) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Mohamed Abdel‐Basset, Reda Mohamed, Mohamed Abouhawwash | 630 | cites it |
| 2024-06-03 | [Nonlinear crossing strategy-based particle swarm optimizations with time-varying acceleration coefficients](https://doi.org/10.1007/s10489-024-05502-1) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Keigo Watanabe, Xiongshi Xu | 16 | cites it |
| 2024-08-19 | [An improved multi-island genetic algorithm and its utilization in the optimal design of a micropositioning stage](https://doi.org/10.1016/j.eswa.2024.125029) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Wenbin He, Xian Tang, Wanwei Ji et al. | 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). P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-p-n-suganthan-2020-bound-constrained-opt-benchmark

```bibtex
@misc{scholar4ai-code-github-p-n-suganthan-2020-bound-constrained-opt-benchmark,
  author = {{Scholar4AI}},
  title = {P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-p-n-suganthan-2020-bound-constrained-opt-benchmark}},
  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/).