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

GitHub · 17 stars · 10 forks · created 2019 · github.com/P-N-Suganthan/2020-Bound-Constrained-Opt-Benchmark

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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.

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#

20232024

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	1
Applied Intelligence	1
Knowledge-Based Systems	1

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	Knowledge-Based Systems	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	Applied Intelligence	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	Expert Systems with Applications	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

@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}
}

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