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:

Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining
Keming Sheng, Guancheng Jiang, Mingliang Du, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108511-108511
Closed Access | Times Cited: 5

Showing 5 citing articles:

Boosting-Based Machine Learning Applications in Polymer Science: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2025) Vol. 17, Iss. 4, pp. 499-499
Open Access | Times Cited: 1

Comprehensive Assessment of E. coli Dynamics in River Water Using Advanced Machine Learning and Explainable AI
Santanu Mallik, Bikram Saha, Krishanu Podder, et al.
Process Safety and Environmental Protection (2025), pp. 106816-106816
Closed Access

Multidimensional Lost Circulation Risk Quantification Assessment Model Based on Ensemble Machine Learning
Haibo Mu, Guancheng Jiang, Wei Zhang, et al.
SPE Journal (2025), pp. 1-11
Closed Access

Edge-cloud collaboration-driven predictive planning based on LSTM-attention for wastewater treatment
Shuaiyin Ma, Wei Ding, Yujuan Zheng, et al.
Computers & Industrial Engineering (2024) Vol. 195, pp. 110425-110425
Closed Access | Times Cited: 4

Deep Learning Framework for Accurate Static and Dynamic Prediction of CO2 Enhanced Oil Recovery and Storage Capacity
Zhipeng Xiao, Bin Shen, Jiguang Yang, et al.
Processes (2024) Vol. 12, Iss. 8, pp. 1693-1693
Open Access | Times Cited: 2

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