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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:

Recommendation System to Predict Missing Adsorption Properties of Nanoporous Materials
Árni Sturluson, Ali Raza, Grant D. McConachie, et al.
Chemistry of Materials (2021) Vol. 33, Iss. 18, pp. 7203-7216
Open Access | Times Cited: 19

Showing 19 citing articles:

Accelerating In Silico Discovery of Metal–Organic Frameworks for Ethane/Ethylene and Propane/Propylene Separation: A Synergistic Approach Integrating Molecular Simulation, Machine Learning, and Active Learning
Varad Daoo, Jayant K. Singh
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 6, pp. 6971-6987
Closed Access | Times Cited: 10
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 7
Chemistry-Encoded Convolutional Neural Networks for Predicting Gaseous Adsorption in Porous Materials
Ting‐Hsiang Hung, Zhi-Xun Xu, Dun‐Yen Kang, et al.
The Journal of Physical Chemistry C (2022) Vol. 126, Iss. 5, pp. 2813-2822
Closed Access | Times Cited: 33
Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective
Hongjian Tang, Lunbo Duan, Jianwen Jiang
Langmuir (2023) Vol. 39, Iss. 45, pp. 15849-15863
Closed Access | Times Cited: 15
Finding the optimal CO2 adsorption material: Prediction of multi-properties of metal-organic frameworks (MOFs) based on DeepFM
Minggao Feng, Min Cheng, Xu Ji, et al.
Separation and Purification Technology (2022) Vol. 302, pp. 122111-122111
Closed Access | Times Cited: 22
Recent Progress in Design Principles of Covalent Organic Frameworks for Rechargeable Metal‐Ion Batteries
Lin Zhang, Xiaofei Zhang, Diandian Han, et al.
Small Methods (2023) Vol. 7, Iss. 11
Closed Access | Times Cited: 13
Interpretable Graph Transformer Network for Predicting Adsorption Isotherms of Metal–Organic Frameworks
Pin Chen, Rui Jiao, Jinyu Liu, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 22, pp. 5446-5456
Closed Access | Times Cited: 20
Multiscale Modeling of Physical Properties of Nanoporous Frameworks: Predicting Mechanical, Thermal, and Adsorption Behavior
Arthur Hardiagon, François‐Xavier Coudert
Accounts of Chemical Research (2024) Vol. 57, Iss. 11, pp. 1620-1632
Open Access | Times Cited: 3
Application of Recommendation Algorithms Based on Social Relationships and Behavioral Characteristics in Music Online Teaching
Chunjing Yin
International Journal of Web-Based Learning and Teaching Technologies (2024) Vol. 19, Iss. 1, pp. 1-18
Open Access | Times Cited: 1
Deep Learning-Based Recommendation System for Metal-Organic Frameworks (MOFs)
Xiaoqi Zhang, Kevin Maik Jablonka, Berend Smit
Digital Discovery (2024) Vol. 3, Iss. 7, pp. 1410-1420
Open Access | Times Cited: 1
Data-Driven Imputation of Miscibility of Aqueous Solutions via Graph-Regularized Logistic Matrix Factorization
Diba Behnoudfar, Cory M. Simon, Joshua Schrier
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 37, pp. 7964-7973
Open Access | Times Cited: 3
Machine Learning‐Aided Discovery of Nanoporous Materials for Energy‐ and Environmental‐Related Applications
Archit Datar, Qiang Lyu, Li‐Chiang Lin
(2023), pp. 283-318
Closed Access | Times Cited: 2
Efficient Data Utilization in Training Machine Learning Models for Nanoporous Materials Screening
Diego A. Gómez‐Gualdrón, Cory M. Simon, Yamil J. Colón
(2023), pp. 343-376
Closed Access | Times Cited: 2
Construction of GCNN-based intelligent recommendation model for answering teachers in online learning system
Wenyi Lu, Ting Han Wei, Zijun Guo, et al.
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access
Design and Implementation of Attention-Based CR System in the Context of Big Data
Zheyi Wang, Yanli Kuang, Xin Lyu
IEEE Access (2024) Vol. 12, pp. 58639-58650
Open Access
Machine Learning and Small Data-Guided Optimization of Silica Shell Morphology on Gold Nanorods
Akhlak U. Mahmood, Melanie M. Ghelardini, Joseph B. Tracy, et al.
Chemistry of Materials (2024) Vol. 36, Iss. 19, pp. 9330-9340
Closed Access
Data-driven imputation of miscibility of aqueous solutions via graph-regularized logistic matrix factorization
Diba Behnoudfar, Cory M. Simon, Joshua Schrier
(2023)
Open Access
Data-driven imputation of miscibility of aqueous solutions via graph-regularized logistic matrix factorization
Diba Behnoudfar, Cory M. Simon, Joshua Schrier
(2023)
Open Access
An Intelligent Recommendation Model for ELT Resources Combining Improved LFM Model and Parallel CNN
Lixia Jia, Dandan Sun, Xiange Fan, et al.
2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT) (2023), pp. 204-209
Closed Access
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