October 20, 2025Open Access

RETRACTION: Transient Performance Analysis of a Heliostat Field: Using Artificial Neural Network to Predict the Net Radiation

Puntos clave

The study on heliostat field performance analysis was retracted due to unreliable data outcomes.
After publication, compromised editorial handling and peer review processes were identified, leading to retraction.
Authors disagreed with the retraction decision despite the identified issues with the publication process.
This incident underscores the importance of rigorous peer review in scientific publishing.

Resumen

RETRACTION : E.M. Salilih, A.M. Abusorrah, N.H. Abu‐Hamdeh, “Transient performance analysis of a heliostat field: Using artificial neural network to predict the net radiation”, Mathematical Methods in the Applied Sciences (Early View): https://doi.org/10.1002/mma.7187 . The above article, published online on 06 February 2021 in Wiley Online Library ( wileyonlinelibrary.com ), has been retracted by agreement between the journal Editor‐in‐Chief, Wolfgang Sprößig; and John Wiley & Sons Ltd. The article was submitted as part of a guest‐edited special issue. Following publication, it has come to the attention of the journal that the article was accepted solely on the basis of compromised editorial handling and peer review processes. As a result, the data and conclusions are considered unreliable, therefore the article must be retracted. When informed of the decision, the authors have disagreed with the decision to retract.

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