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:
Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach
Jiaming Liu, Chengzhang Li, Peng Ouyang, et al.
Journal of Forecasting (2022) Vol. 42, Iss. 5, pp. 1112-1137
Closed Access | Times Cited: 27
Jiaming Liu, Chengzhang Li, Peng Ouyang, et al.
Journal of Forecasting (2022) Vol. 42, Iss. 5, pp. 1112-1137
Closed Access | Times Cited: 27
Showing 26-50 of 27 citing articles:
An explainable framework based on counterfactual explanations for multi-class financial distress prediction of small and medium enterprises
Rie Kubota Ando, Yuji Kawamata, Tetsuya Takeda, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2269-2274
Closed Access
Rie Kubota Ando, Yuji Kawamata, Tetsuya Takeda, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2269-2274
Closed Access
Predicting earnings per share using feature-engineered extreme gradient boosting models and constructing alpha trading strategies
Gargi Singh, I Nyoman Arya Thanaya
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 3999-4012
Closed Access | Times Cited: 1
Gargi Singh, I Nyoman Arya Thanaya
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 3999-4012
Closed Access | Times Cited: 1
