The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
A Unified Approach to Interpreting Model Predictions
Lundberg, S., & Lee, S.-I. (2017) · arXiv · doi:10.48550/arxiv.1705.07874 · Cited by 23,707
Advances in Neural Information Processing Systems 29
Teymur, O., Zygalakis, K., & Calderhead, B. (2016) · Cited by 13,881
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
17. A Value for n-Person Games
Shapley, L. S. (1953) · Contributions to the Theory of Games (AM-28), Volume II · doi:10.1515/9781400881970-018 · Cited by 6,950
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Ribeiro, M., Singh, S., & Guestrin, C. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations · doi:10.18653/v1/n16-3020 · Cited by 6,682
Anderson, G. B., & Bell, M. L. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1002313 · Cited by 1,191
Mangalathu, S., Hwang, S.-H., & Jeon, J.-S. (2020) · Engineering Structures · doi:10.1016/j.engstruct.2020.110927 · Cited by 1,071
Cited by
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
Salih, A. M., Raisi‐Estabragh, Z., Galazzo, I. B., Radeva, P., Petersen, S. E., Lekadir, K., & Menegaz, G. (2025) · Advanced Intelligent Systems · doi:10.1002/aisy.202400304 · Cited by 897
Boudreault, J., Lamothe, F., Campagna, C., & Chebana, F. (2025) · Environment International · doi:10.1016/j.envint.2025.109965 · Cited by 10
Metadata
- Authors
- Kim, Y., & Kim, Y.
- Venue
- Sustainable Cities and Society
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 79
- Pages
- 103677
- ISSN
- 2210-6707 (ISSN-L)
- OpenAlex
- W4206828290
- Cited by
- 348
- References
- 71
- FWCI
- 22.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models. https://app.cochat.ai/papers/10.1016/j.scs.2022.103677
- The paper
- Kim, Y., & Kim, Y. (2022). Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2022.103677
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
