Application of stacked Transformer-XGBoost model and SHAP interpretability in air quality index prediction in Linfen City

Jiafang Wei, Tianci Zhao, Rongsheng Wei, Xinjian Fan, Penghui Ji, Xiaohui Zhang

Open source

DOI
10.1016/j.isci.2026.116396
Published
2026-08
Container
iScience
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.isci.2026.116396,
  title = {Application of stacked Transformer-XGBoost model and SHAP interpretability in air quality index prediction in Linfen City},
  author = {Jiafang Wei and Tianci Zhao and Rongsheng Wei and Xinjian Fan and Penghui Ji and Xiaohui Zhang},
  year = {2026},
  journal = {iScience},
  doi = {10.1016/j.isci.2026.116396},
  url = {https://doi.org/10.1016/j.isci.2026.116396}
}

RIS

TY  - JOUR
TI  - Application of stacked Transformer-XGBoost model and SHAP interpretability in air quality index prediction in Linfen City
AU  - Jiafang Wei
AU  - Tianci Zhao
AU  - Rongsheng Wei
AU  - Xinjian Fan
AU  - Penghui Ji
AU  - Xiaohui Zhang
PY  - 2026
JO  - iScience
DO  - 10.1016/j.isci.2026.116396
UR  - https://doi.org/10.1016/j.isci.2026.116396
ER  - 

APA

Wei, J., Zhao, T., Wei, R., Fan, X., Ji, P., & Zhang, X. (2026). Application of stacked Transformer-XGBoost model and SHAP interpretability in air quality index prediction in Linfen City. iScience. https://doi.org/10.1016/j.isci.2026.116396

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