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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:

Machine learning analysis and prediction models of alkaline anion exchange membranes for fuel cells
Xiuyang Zou, Ji Pan, Zhe Sun, et al.
Energy & Environmental Science (2021) Vol. 14, Iss. 7, pp. 3965-3975
Closed Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Unsupervised Machine Learning‐Derived Anion‐Exchange Membrane Polymers Map: A Guideline for Polymers Exploration and Design
Yin Kan Phua, Nana Terasoba, Manabu Tanaka, et al.
ChemElectroChem (2024) Vol. 11, Iss. 14
Open Access | Times Cited: 2
Multi-output machine learning for addressing the trade-off between water permeability and wetting resistance in membrane distillation
Jun Ma, Hang Xu, Meng Zhang, et al.
Desalination (2024) Vol. 589, pp. 117953-117953
Closed Access | Times Cited: 2
A deep learning protocol for analyzing and predicting ionic conductivity of anion exchange membranes
Fu-Heng Zhai, Qingqing Zhan, Yunfei Yang, et al.
Journal of Membrane Science (2021) Vol. 642, pp. 119983-119983
Closed Access | Times Cited: 20
Molecular Modeling in Anion Exchange Membrane Research: A Brief Review of Recent Applications
Mirat Karibayev, Sandugash Kalybekkyzy, Yanwei Wang, et al.
Molecules (2022) Vol. 27, Iss. 11, pp. 3574-3574
Open Access | Times Cited: 13
Informatics-Driven Selection of Polymers for Fuel-Cell Applications
Tran Doan Huan, Kuan-Hsuan Shen, Shivank Shukla, et al.
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 2, pp. 977-986
Open Access | Times Cited: 6
Expert-augmented machine learning to accelerate the discovery of copolymers for anion exchange membrane
Lunyang Liu, Yunqi Li, Jifu Zheng, et al.
Journal of Membrane Science (2023) Vol. 693, pp. 122327-122327
Closed Access | Times Cited: 6
Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models
Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato
Science and Technology of Advanced Materials (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Impacts of process parameters on diesel reforming via interpretable machine learning
Zhenwei Liang, Jiazhun Huang, Yujia Liu, et al.
International Journal of Hydrogen Energy (2024) Vol. 88, pp. 658-665
Closed Access | Times Cited: 1
Polymer Electrolyte Membranes from Microporous Troger’s Base Polymers for Fuel Cells
Xinming Du, Yongjiang Yuan, Tianming Dong, et al.
ACS Applied Energy Materials (2021) Vol. 4, Iss. 11, pp. 13327-13334
Closed Access | Times Cited: 9
Computational Approaches to Alkaline Anion-Exchange Membranes for Fuel Cell Applications
Cecil Naphtaly Moro Ouma, Kingsley Onyebuchi Obodo, Dmitri Bessarabov
Membranes (2022) Vol. 12, Iss. 11, pp. 1051-1051
Open Access | Times Cited: 6
Correlation between the Stability of Substituted Cobaltocenium and Molecular Descriptors
Shehani T. Wetthasinghe, Chunyan Li, Huina Lin, et al.
The Journal of Physical Chemistry A (2022) Vol. 126, Iss. 1, pp. 80-87
Closed Access | Times Cited: 5
Hydrophobicity Regulation of Hyperbranched Poly(Aryl Piperidine) Anion Exchange Membranes for Fuel Cells
Xiaoqin Ma, Aidi Liu, Jingtao Si, et al.
Macromolecules (2024)
Closed Access
Artificial Neural Network-Based Prediction and Optimization of Polymer Membrane for Alkaline Water Electrolysis
Xintao Deng, Yingpeng Zhao, Fuyuan Yang, et al.
ACS Applied Polymer Materials (2024)
Closed Access
Electrochemical energy conversion and storage processes with machine learning
Jihyeon Park, Jaeyoung Lee
Trends in Chemistry (2024) Vol. 6, Iss. 6, pp. 302-313
Closed Access
Design of enlarged phononic bandgap 2.5D acoustic resonator via active learning and non-gradient optimization
Syed Muhammad Ibrahim, Jungyul Park
Micro and Nano Systems Letters (2024) Vol. 12, Iss. 1
Open Access
Poly(Dibenzothiophene‐Terphenyl Piperidinium) for High‐performance Anion Exchange Membrane Water Electrolysis
Wentao Zheng, Lanlan He, Tang Tang, et al.
Angewandte Chemie (2024) Vol. 136, Iss. 34
Closed Access
Unsupervised Learning‐Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells
Xiuyang Zou, Guodong Xu, Pengda Fang, et al.
Angewandte Chemie (2023) Vol. 135, Iss. 19
Closed Access | Times Cited: 1
Statistical analysis and optimization of fuel cells using the design of experiment
Sarthak Dwivedi, Lanka Tata Rao, Shashwat Goel, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2022) Vol. 238, Iss. 1, pp. 280-287
Closed Access | Times Cited: 1
Machine Learning-Enabled Development of High Performance Gradient-Index Phononic Crystals for Energy Focusing and Harvesting
Sangryun Lee, Wonjae Choi, Jeong Won Park, et al.
SSRN Electronic Journal (2022)
Closed Access
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