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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:

Better utilization of materials’ compositions for predicting their properties: Material composition visualization network
Yeyong Yu, Xing Wu, Quan Qian
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105539-105539
Closed Access | Times Cited: 12

Showing 12 citing articles:

Prediction of mechanical properties of composite materials using multimodal fusion learning
Lei Song, Donglei Wang, Xuwang Liu, et al.
Sensors and Actuators A Physical (2023) Vol. 358, pp. 114433-114433
Closed Access | Times Cited: 23
Prediction of Cutting Forces in Hard Turning Process Using Machine Learning Methods: A Case Study
Souâd Makhfi, Abdelhakim Dorbane, Fouzi Harrou, et al.
Journal of Materials Engineering and Performance (2023) Vol. 33, Iss. 17, pp. 9095-9111
Closed Access | Times Cited: 13
Explainable machine learning for enhancing predictive accuracy of cutting forces in hard turning processes
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 4
A novel multimodal deep learning framework for predicting residual strength of corroded rectangular hollow-section columns
Yujia Zhang, Yu Zhou, Yu Zhou, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110554-110554
Closed Access
Convolutional neural network-based prediction of hardness in bulk metallic glasses with small data
Chunghee Nam
Journal of Non-Crystalline Solids (2025) Vol. 654, pp. 123451-123451
Closed Access
Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
Journal of Failure Analysis and Prevention (2025)
Closed Access
Towards a data-driven paradigm for characterizing plastic anisotropy using principal components analysis and manifold learning
Jianqiang Jin, Ludovic Cauvin, Balaji Raghavan, et al.
Computational Materials Science (2024) Vol. 235, pp. 112834-112834
Closed Access | Times Cited: 1
MonteCat: A Basin-Hopping-Inspired Catalyst Descriptor Search Algorithm for Machine Learning Models
Fernando García-Escobar, Toshiaki Taniike, Keisuke Takahashi
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1512-1521
Closed Access | Times Cited: 1
From Small Data Modeling to Large Language Model Screening: A Dual‐Strategy Framework for Materials Intelligent Design
Yeyong Yu, Jie Xiong, Xing Zheng Wu, et al.
Advanced Science (2024)
Open Access
Prediction model of mechanical properties of hot-rolled strip based on improved feature selection method
Zhiwei Gao, Guangming Cao, Siwei Wu, et al.
Journal of Iron and Steel Research International (2024)
Closed Access
Experimental and numerical analysis on the cutting force, cutting temperature, and tool wear of alloy steel (4340) during turning process
G. Veerappan, Kamaraj Logesh, Rishabh Chaturvedi, et al.
AIP Advances (2024) Vol. 14, Iss. 11
Open Access
OCS-TGBM: Intelligent Analysis of Organic Chemical Synthesis Based on Topological Data Analysis and LightGBM
Yanhui Guo, Lichao Peng, Zixin Li, et al.
match Communications in Mathematical and in Computer Chemistry (2023) Vol. 91, Iss. 3, pp. 557-592
Open Access
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