From Nov 2023 to Oct 2026, 323 archived papers mentioned CEC benchmark functions in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2026 (17).
CEC benchmark functions was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
By journal category: AI (1).
Most of them appeared in Journal Of Big Data (1).
From 2017 to 2026 (so far), CEC benchmark functions was mentioned in 640 papers in the tracked journals, most of them in AI (601), operations research (25) and management (4).
102 of them were published in 2025, against 17 in 2017.
Since 2023, the institutions with the most of these papers were Mansoura University (18), Nankai University (18) and Torrens University Australia (14).
The journals publishing most of them were Artificial Intelligence Review (62), Expert Systems with Applications (59) and Knowledge-Based Systems (44).
The most-cited of them is “Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems” (Applied Intelligence, 2020), with 1,138 citations.
Papers use CEC benchmark functions most often with UCI Machine Learning Repository (15), ImageNet (12) and CIFAR-10 / CIFAR-100 (8); it has 16 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use CEC benchmark functions most often with UCI Machine Learning Repository (15), ImageNet (12) and CIFAR-10 / CIFAR-100 (8); it has 16 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →
What papers use CEC benchmark functions together with (at least 3 papers; lift 1 = chance)
Mohamed Elhosseny, Mahmoud Abdel-Salam, Doaa Sami Khafaga et al.
Mansoura University; University of Sharjah; Princess Nourah bint Abdulrahman University; …
Cite this page
Scholar4AI. (2026). CEC benchmark functions. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/cec-benchmark-functions
@misc{scholar4ai-datasets-cec-benchmark-functions,
author = {{Scholar4AI}},
title = {CEC benchmark functions},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/cec-benchmark-functions}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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