BetaCitation Atlas

RESEARCH PAPER · ARPN Journal of Engineering and Applied Sciences · 2026

Prediction of stainless steel mechanical properties using synthetic data generated by wasserstein generative adversarial networks with gradient penalty

Read original paper ↗

See where this research leads.

A citation map has not been saved for this paper yet.

Open in your workspace →Open your workspace to prepare the citation network.

The paper record is available below. Preparing a network uses the existing account and source-allowance controls.

Papers that cite this work

No saved citation network is available; this does not mean the paper has no citations.