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:

Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling
Aaron E. Maxwell, Maneesh Sharma, Kurt Donaldson
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 4991-4991
Open Access | Times Cited: 39

Showing 26-50 of 39 citing articles:

Visualization of explainable artificial intelligence for GeoAI
Cédric Roussel
Frontiers in Computer Science (2024) Vol. 6
Open Access | Times Cited: 1

Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
Tomas M. Bosschieter, Zifei Xu, Hui Lan, et al.
Journal of Healthcare Informatics Research (2023)
Open Access | Times Cited: 4

Glass-box modeling for quality assessment of resistance spot welding joints in industrial applications
José Ignacio Santos, Óscar Martín, Virginia Ahedo, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 11-12, pp. 4077-4092
Open Access | Times Cited: 7

Explainable Boosting Machines for Network Intrusion Detection with Features Reduction
Tarek A. El-Mihoub, Lars Nolle, Frederic Stahl
Lecture notes in computer science (2022), pp. 280-294
Closed Access | Times Cited: 7

Explainable Boosting Machine: A Contemporary Glass-Box Model to Analyze Work Zone-Related Road Traffic Crashes
Raed Alahmadi, Hamad Almujibah, Saleh Alotaibi, et al.
Safety (2023) Vol. 9, Iss. 4, pp. 83-83
Open Access | Times Cited: 2

A dual-radiomics model for overall survival prediction in early-stage NSCLC patient using pre-treatment CT images
Rihui Zhang, Haiming Zhu, Min‐Bin Chen, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access

Enhancing concrete frost resistance prediction with an explainable neural network
Bochao Sun, Haoyang Zheng, Qiliang Zhao, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03648-e03648
Open Access

A machine‐learning model of academic resilience in the times of the COVID‐19 pandemic: Evidence drawn from 79 countries/economies in the PISA 2022 mathematics study
Kwok‐cheung Cheung, Pou‐seong Sit, Jia‐qi Zheng, et al.
British Journal of Educational Psychology (2024) Vol. 94, Iss. 4, pp. 1224-1244
Closed Access

Integrating Physical and Machine Learning Models for Enhanced Landslide Prediction in Data-Scarce Environments
Husam A. H. Al-Najjar, Biswajeet Pradhan, Xuzhen He, et al.
Earth Systems and Environment (2024)
Closed Access

Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management
Ying Deng, Yue Zhang, Daiwei Pan, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4196-4196
Open Access

Towards Cleaner Cities: Estimating Vehicle-Induced PM2.5 with Hybrid EBM-CMA-ES Modeling
Saleh Alotaibi, Hamad Almujibah, Khalaf alla adam Mohamed, et al.
Toxics (2024) Vol. 12, Iss. 11, pp. 827-827
Open Access

Machine Learning Algorithms for Identifying Dependencies in OT Protocols
Miłosz Smolarczyk, Jakub Pawluk, Alicja Kotyla, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4056-4056
Open Access

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