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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 hybrid Machine learning prediction of dielectric constant of alkali halide crystals
Jiandong Deng, Guozhu Jia
Chemical Physics (2022) Vol. 555, pp. 111457-111457
Closed Access | Times Cited: 13

Showing 13 citing articles:

Bioresource Upgrade for Sustainable Energy, Environment, and Biomedicine
Fanghua Li, Yiwei Li, Kostya S. Novoselov, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 43
Machine learning accelerates the materials discovery
Jiheng Fang, Ming Xie, Xingqun He, et al.
Materials Today Communications (2022) Vol. 33, pp. 104900-104900
Closed Access | Times Cited: 61
A new approach for predicting oil mobilities and unveiling their controlling factors in a lacustrine shale system: Insights from interpretable machine learning model
Enze Wang, Yingxiao Fu, Tonglou Guo, et al.
Fuel (2024) Vol. 379, pp. 132958-132958
Closed Access | Times Cited: 7
Research on deviation prediction of continuous annealing line based on PSO-RF
Ming-Chun Jiang, Haotang Qie, Tingsong Yang, et al.
Metallurgical Research & Technology (2025) Vol. 122, Iss. 2, pp. 204-204
Closed Access
Corrosion behavior prediction for hull steels under dynamic marine environments by jointly utilizing LSTM network and PSO-RF model
Haodi Ji, Han Wang, Qian Chen, et al.
Ocean Engineering (2024) Vol. 300, pp. 117371-117371
Closed Access | Times Cited: 5
Dielectric constant prediction of perovskite microwave dielectric ceramics via machine learning
Yicong Ye, Ziqi Ni, Kaijia Hu, et al.
Materials Today Communications (2023) Vol. 35, pp. 105733-105733
Closed Access | Times Cited: 11
Enhancing interpretability in the exploration of high-energy conversion efficiency in CsSnBr3−xIx configurations using crystal graph convolutional neural networks and adversarial example methods
Tao Wang, Xiaolong Lai, Yadong Wei, et al.
Science China Materials (2024) Vol. 67, Iss. 4, pp. 1183-1191
Closed Access | Times Cited: 3
Incorporating domain knowledge into machine learning for laser-induced breakdown spectroscopy quantification
Weiran Song, Zongyu Hou, Weilun Gu, et al.
Spectrochimica Acta Part B Atomic Spectroscopy (2022) Vol. 195, pp. 106490-106490
Closed Access | Times Cited: 18
Green synthesis optimization with artificial intelligence studies of copper–gallic acid metal–organic framework and its application in dye removal from wastewater
Badril Azhar, Cries Avian, Ardila Hayu Tiwikrama
Journal of Molecular Liquids (2023) Vol. 389, pp. 122844-122844
Closed Access | Times Cited: 9
Brittleness index prediction using modified random forest based on particle swarm optimization of Upper Ordovician Wufeng to Lower Silurian Longmaxi shale gas reservoir in the Weiyuan Shale Gas Field, Sichuan Basin, China
Mbula Ngoy Nadege, Shu Jiang, Grant Charles Mwakipunda, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212518-212518
Closed Access | Times Cited: 9
Predicting viscosity of ionic liquids - water mixtures by bridging UNIFAC modeling with interpretable machine learning
Min Huang, Jiandong Deng, Guozhu Jia
Journal of Molecular Liquids (2023) Vol. 383, pp. 122095-122095
Closed Access | Times Cited: 5
Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors
Zhenyu Yuan, Xueman Luo, Fanli Meng
Advanced Engineering Materials (2024) Vol. 26, Iss. 20
Closed Access | Times Cited: 1
A boiling point prediction method based on machine learning for potential insulating gases
Wei Liu, Junwei Zha, M. F. Ling, et al.
Chemical Physics (2024), pp. 112447-112447
Closed Access | Times Cited: 1
Effect of hydrated shell layers on surface tension of electrolyte solutions: Insights from interpretable machine learning
Jiandong Deng, Guozhu Jia
Journal of Molecular Liquids (2022) Vol. 369, pp. 120887-120887
Closed Access | Times Cited: 2
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