OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection methods for many-objective optimization
Yu Wu, Jianle Wei, Weiqin Ying, et al.
Information Sciences (2022) Vol. 616, pp. 505-525
Closed Access | Times Cited: 7

Showing 7 citing articles:

Many-objective evolutionary algorithm based on dynamic mating and strengthened fitness selection mechanism
Wei Li, Wenhao Tang, Lei Wang
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access

A many-objective evolutionary algorithm with estimating the convexity-concavity of Pareto fronts and clustering
Xujian Wang, Fenggan Zhang, Minli Yao
Information Sciences (2023) Vol. 644, pp. 119289-119289
Closed Access | Times Cited: 2

An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization
Shenghao Zhou, Xiaomei Mo, Zidong Wang, et al.
Information Sciences (2022) Vol. 624, pp. 217-234
Closed Access | Times Cited: 3

Unveiling the Many-Objective Dragonfly Algorithm's (MaODA) efficacy in complex optimization
Kanak Kalita, Pradeep Jangir, Sundaram B. Pandya, et al.
Evolutionary Intelligence (2024) Vol. 17, Iss. 5-6, pp. 3505-3533
Closed Access

A many‐objective evolutionary algorithm based on bi‐direction fusion niche dominance
Li‐sen Wei, Erchao Li
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 21
Closed Access

Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation
Miguel Martínez-Comesaña, Javier Martínez Martínez, Pablo Eguía, et al.
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. In press, Iss. In press, pp. 1-1
Open Access | Times Cited: 1

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