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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:

Studying Complex Evolution of Hyperelastic Materials under External Field Stimuli using Artificial Neural Networks with Spatiotemporal Features in a Small‐Scale Dataset
Songlin Yu, Haiyang Chai, Yuqi Xiong, et al.
Advanced Materials (2022) Vol. 34, Iss. 26
Closed Access | Times Cited: 19

Showing 19 citing articles:

Machine learning predictions on the compressive stress–strain response of lattice-based metamaterials
Lijun Xiao, Gaoquan Shi, Weidong Song
International Journal of Solids and Structures (2024) Vol. 300, pp. 112893-112893
Closed Access | Times Cited: 30
AI-driven 3D bioprinting for regenerative medicine: From bench to bedside
Huajin Zhang, Xianhao Zhou, Yongcong Fang, et al.
Bioactive Materials (2024) Vol. 45, pp. 201-230
Closed Access | Times Cited: 10
Large-language models: the game-changers for materials science research
Songlin Yu, Nian Ran, Jianjun Liu
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100076-100076
Open Access | Times Cited: 7
A framework of integrating heterogeneous data sources for monthly streamflow prediction using a state-of-the-art deep learning model
Wenxin Xu, Jie Chen, XC Zhang, et al.
Journal of Hydrology (2022) Vol. 614, pp. 128599-128599
Closed Access | Times Cited: 25
Predicting the complex stress-strain curves of polymeric solids by classification-embedded dual neural network
Han Liu, Feng-Yang Wu, Gan‐Ji Zhong, et al.
Materials & Design (2023) Vol. 227, pp. 111773-111773
Open Access | Times Cited: 13
AI4Materials: Transforming the Landscape of Materials Science and Enigneering
Xue Jiang, Dezhen Xue, Yang Bai, et al.
(2025), pp. 100010-100010
Open Access
3D Printed Architectured silicone composites containing a UV-curable rheological modifier with tailorable structural collapse
Chengzhen Geng, Zhicheng Ding, Wen Qian, et al.
Composites Part B Engineering (2024) Vol. 280, pp. 111490-111490
Closed Access | Times Cited: 3
3D Printed Silicones with Shape Morphing and Low-Temperature Ultraelasticity
Chenyang Zhang, E Liao, Changlin Li, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 3, pp. 4549-4558
Closed Access | Times Cited: 8
A prediction model for CO2/CO adsorption performance on binary alloys based on machine learning
Xiaofeng Cao, Wenjia Luo, Huimin Liu
RSC Advances (2024) Vol. 14, Iss. 17, pp. 12235-12246
Open Access | Times Cited: 2
Active mixing of two-component viscoelastic silicone ink at molecular level for spatiotemporally controlled 3D/4D printing of cellular silicones
E Liao, Yaling Zhang, Yu T. Su, et al.
Polymer (2024) Vol. 302, pp. 127053-127053
Closed Access | Times Cited: 2
4D printing of cellular silicones with negative stiffness effect for enhanced energy absorption and impact protection
Xiaoyan Liu, Yaling Zhang, Yu T. Su, et al.
Composites Part B Engineering (2024) Vol. 282, pp. 111561-111561
Closed Access | Times Cited: 2
3D printed multifunctional hierarchical structured cellular silicones with ultraelasticity, extreme load-bearing capacity, shape morphing and sensing properties
Yu T. Su, Yaling Zhang, E Liao, et al.
Composite Structures (2024) Vol. 337, pp. 118038-118038
Closed Access | Times Cited: 1
From Filler to Structure: Designing 3D-Printable Silicone Elastomers with Broadband Electromagnetic Interference Shielding
Junrui Tan, Guizhi Zhu, Longfei Tan, et al.
Additive manufacturing (2024), pp. 104469-104469
Closed Access | Times Cited: 1
Studies on preparation of silicon-containing polyester via ring-opening polymerization and new type of elastomers derived from the resulting diols
Zedong He, Hao Zhang, Ju Xie, et al.
European Polymer Journal (2024) Vol. 221, pp. 113570-113570
Closed Access | Times Cited: 1
Detecting Microstructural Criticality/Degeneracy through Hybrid Learning Strategies Trained by Molecular Dynamics Simulations
Shaohua Chen, Nuo Xu
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 7, pp. 10193-10202
Closed Access | Times Cited: 2
Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams
Lynn Cherif, Mutahar Safdar, Guy Lamouche, et al.
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 4733-4739
Open Access | Times Cited: 2
Virtual rapid prototyping of materials with deep learning: spatiotemporal stress fields prediction in ceramics employing convolutional neural networks and transfer learning
Mohammad Rezasefat, James D. Hogan
Virtual and Physical Prototyping (2024) Vol. 19, Iss. 1
Open Access
Studies on Preparation of Silicon-Containing Polyester by Ring-Opening Polymerization and New Type of Elastomers Based on Silicon-Containing Polyester Diols
Zedong He, Hao Zhang, Ju Xie, et al.
(2024)
Closed Access
Synthesis and Characterization of a Liquid Crystal-Modified Polydimethylsiloxane Rubber with Mechanical Adaptability Based on Chain Extension in the Process of Crosslinking
Zhe Liu, Hua Wang, Chuanjian Zhou
ACS Omega (2022) Vol. 7, Iss. 41, pp. 36590-36597
Open Access | Times Cited: 2
Applications in Data-Driven Additive Manufacturing
Mutahar Safdar, Guy Lamouche, Padma Polash Paul, et al.
SpringerBriefs in applied sciences and technology (2023), pp. 45-121
Closed Access
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