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:

Commentary on explainable artificial intelligence methods: SHAP and LIME
Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 6

Showing 6 citing articles:

Explainable AI models for predicting drop coalescence in microfluidics device
Jin-Wei Hu, Kewei Zhu, Sibo Cheng, et al.
Chemical Engineering Journal (2024) Vol. 481, pp. 148465-148465
Open Access | Times Cited: 15

Enhancing advanced driver assistance systems through explainable artificial intelligence for driver anomaly detection
Tumlumbe Juliana Chengula, Judith Mwakalonge, Gurcan Comert, et al.
Machine Learning with Applications (2024) Vol. 17, pp. 100580-100580
Open Access | Times Cited: 5

Predictive Maintenance for Industrial Equipment: Using XGBoost and Local Outlier Factor with Explainable AI for analysis
Premanand Ghadekar, Aman Manakshe, Sarthak Madhikar, et al.
(2024), pp. 25-30
Closed Access | Times Cited: 2

Spectrochemical and explainable artificial intelligence approaches for molecular level identification of the status of critically ill patients with COVID-19
Gorkem Tokgoz, Kevser Kübra Kırboğa, Faik Özel, et al.
Talanta (2024) Vol. 279, pp. 126652-126652
Closed Access | Times Cited: 2

Explainable AI model for predicting equivalent viscous damping in dual frame–wall resilient system
Chuandong Xie, Jin-Wei Hu, George Vasdravellis, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110564-110564
Open Access | Times Cited: 2

Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models
Kingsley Attai, Moses E. Ekpenyong, Constance Amannah, et al.
(2024)
Open Access | Times Cited: 1

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