OpenAlex Citation Counts

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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:

An interpretable deep learning model to map land subsidence hazard
Paria Rahmani, Hamid Gholami, Shahram Golzari
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 11, pp. 17448-17460
Closed Access | Times Cited: 5

Showing 5 citing articles:

Interpretability Research of Deep Learning: A Literature Survey
Biao Xu, Guanci Yang
Information Fusion (2024) Vol. 115, pp. 102721-102721
Closed Access | Times Cited: 11

Prediction method for the dynamic response of expressway lateritic soil subgrades on the basis of Bayesian optimization CatBoost
Xuanjia Huang, Weizheng Liu, Qing Guo, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 186, pp. 108943-108943
Closed Access | Times Cited: 7

Spatial Prediction of Human Brucellosis Susceptibility Using an Explainable Optimized Adaptive Neuro Fuzzy Inference System
Ali Jafari, Ali Asghar Alesheikh, Iman Zandi, et al.
Acta Tropica (2024), pp. 107483-107483
Closed Access | Times Cited: 1

An interpretable (explainable) model based on machine learning and SHAP interpretation technique for mapping wind erosion hazard
Hamid Gholami, Ehsan Darvishi, Navazollah Moradi, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 1

Interpretation techniques to explain the output of a spatial land subsidence hazard model in an area with a diverted tributary
Razieh Seihani, Hamid Gholami, Yahya Esmaeilpour, et al.
Applied Computing and Geosciences (2024) Vol. 23, pp. 100191-100191
Open Access

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