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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:

Small data machine learning in materials science
Pengcheng Xu, Xiaobo Ji, Minjie Li, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 228

Showing 1-25 of 228 citing articles:

MA2Z4 family heterostructures: Promises and prospects
Che Chen Tho, San‐Dong Guo, Shi‐Jun Liang, et al.
Applied Physics Reviews (2023) Vol. 10, Iss. 4
Open Access | Times Cited: 50
Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Azizur Rahman, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 101049-101049
Open Access | Times Cited: 42
Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 40
Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Jin Li, Meisa Zhou, Hong‐Hui Wu, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 20
Closed Access | Times Cited: 37
When Machine Learning Meets 2D Materials: A Review
Bin Lu, Yuze Xia, Yuqian Ren, et al.
Advanced Science (2024) Vol. 11, Iss. 13
Open Access | Times Cited: 36
Extrapolative prediction of small-data molecular property using quantum mechanics-assisted machine learning
Hajime Shimakawa, Akiko Kumada, Masahiro Sato
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 15
MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 23
Hierarchical heterogeneities engineering towards sustainable high-performing alloys
Jiayi Sun, Xianghai An
Materials Today Sustainability (2024) Vol. 25, pp. 100694-100694
Open Access | Times Cited: 10
Designing workflows for materials characterization
Sergei V. Kalinin, Maxim Ziatdinov, Mahshid Ahmadi, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 10
Machine learning in nanozymes: from design to application
Yubo Gao, Zhicheng Zhu, Zhen Chen, et al.
Biomaterials Science (2024) Vol. 12, Iss. 9, pp. 2229-2243
Closed Access | Times Cited: 10
From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
Jorge Benavides-Hernández, Franck Dumeignil
ACS Catalysis (2024) Vol. 14, Iss. 15, pp. 11749-11779
Closed Access | Times Cited: 9
Computational and Machine Learning Methods for CO2 Capture Using Metal–Organic Frameworks
Hossein Mashhadimoslem, Mohammad Ali Abdol, Peyman Karimi, et al.
ACS Nano (2024) Vol. 18, Iss. 35, pp. 23842-23875
Closed Access | Times Cited: 9
Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection
Tong Liu, Zhuoyao Chen, Jingzhi Yang, et al.
npj Materials Degradation (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 8
Explicable Machine Learning for Predicting High-Efficiency Lignocellulose Pretreatment Solvents Based on Kamlet–Taft and Polarity Parameters
Hanwen Ge, Yuekun Bai, Rui Zhou, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 19, pp. 7578-7590
Closed Access | Times Cited: 7
Different applications of machine learning approaches in materials science and engineering: Comprehensive review
Yan Cao, Ali Taghvaie Nakhjiri, Mahdi Ghadiri
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108783-108783
Closed Access | Times Cited: 7
Roadmap to Human–Machine Interaction through Triboelectric Nanogenerator and Machine Learning Convergence
Anand Babu, Dipankar Mandal
ACS Applied Energy Materials (2024) Vol. 7, Iss. 3, pp. 822-833
Closed Access | Times Cited: 6
Methods and applications of machine learning in computational design of optoelectronic semiconductors
Xiaoyu Yang, Kun Zhou, Xin He, et al.
Science China Materials (2024) Vol. 67, Iss. 4, pp. 1042-1081
Closed Access | Times Cited: 6
Sensitivity analysis-driven machine learning approach for groundwater quality prediction: Insights from integrating ENTROPY and CRITIC methods
Imran Khan, Md. Ayaz
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101309-101309
Closed Access | Times Cited: 6
Developing a spatiotemporal fusion framework for generating daily UAV images in agricultural areas using publicly available satellite data
Hamid Ebrahimy, Tong Yu, Zhou Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 413-427
Closed Access
Compliance With Routine Health Checkup Visits Among California-Based Minority Men: A Survey Study
Selin Aras, Angela Bakaj, Lucas Calica, et al.
American Journal of Men s Health (2025) Vol. 19, Iss. 1
Open Access
First-principles investigation of local atomic environment and its impact on properties in non-equiatomic CoCrFeNi high-entropy alloys
Qingxu Tian, F. Chen, Peter K. Liaw, et al.
Journal of Materials Research and Technology (2025)
Open Access
Prediction of the compressive strength and carpet plot for cross-material CFRP laminate based on deep transfer learning
Zhicen Song, Yunwen Feng, Cheng Lu
Materials Science and Engineering A (2025) Vol. 924, pp. 147792-147792
Closed Access
Epitaxy of Emerging Materials and Advanced Heterostructures for Microelectronics and Quantum Sciences
Yeonjoo Lee, Soo Ho Choi, Hyunseok Kim, et al.
Small Methods (2025)
Open Access
Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt
Aubin Ramon, Mingyang Ni, Olga Predeina, et al.
mAbs (2025) Vol. 17, Iss. 1
Open Access
Machine learning forecasting in the macroeconomic environment: the case of the US output gap
Emmanouil Sofianos, Christos Alexakis, Periklis Gogas, et al.
Economic Change and Restructuring (2025) Vol. 58, Iss. 1
Closed Access
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