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Machine learning predictions of composite steel price indices

Bingzi Jin & Xiaojie Xu

International Journal of Management Science and Engineering Management2025https://doi.org/10.1080/17509653.2025.2536637article
ABDC C
Weight
0.59

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13 citations

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https://doi.org/https://doi.org/10.1080/17509653.2025.2536637

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@article{bingzi2025,
  title        = {{Machine learning predictions of composite steel price indices}},
  author       = {Bingzi Jin & Xiaojie Xu},
  journal      = {International Journal of Management Science and Engineering Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/17509653.2025.2536637},
}

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Machine learning predictions of composite steel price indices

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Evidence weight

0.59

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.60 × 0.4 = 0.24
M · momentum0.82 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.