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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:

MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction
Zhonglin Cao, Rishikesh Magar, Yuyang Wang, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 5, pp. 2958-2967
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Recent advances in computational modeling of MOFs: From molecular simulations to machine learning
Hakan Demir, Hilal Daglar, Hasan Can Gülbalkan, et al.
Coordination Chemistry Reviews (2023) Vol. 484, pp. 215112-215112
Open Access | Times Cited: 121
TransPolymer: a Transformer-based language model for polymer property predictions
Changwen Xu, Yuyang Wang, Amir Barati Farimani
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 86
A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks
Jingqi Wang, Jiapeng Liu, Hongshuai Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 35
Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery
Chunhua Li, Luqian Bao, Yixin Ji, et al.
Coordination Chemistry Reviews (2024) Vol. 514, pp. 215888-215888
Closed Access | Times Cited: 19
Structural features of lanthanide coordination polymers with catalytic properties
Li-Xin You, Baoyi Ren, Yong-Ke He, et al.
Journal of Molecular Structure (2024) Vol. 1304, pp. 137687-137687
Closed Access | Times Cited: 18
Machine Learning in Membrane Design: From Property Prediction to AI-Guided Optimization
Zhonglin Cao, Omid Barati Farimani, Janghoon Ock, et al.
Nano Letters (2024) Vol. 24, Iss. 10, pp. 2953-2960
Open Access | Times Cited: 18
Metal–Organic Framework Stability in Water and Harsh Environments from Data-Driven Models Trained on the Diverse WS24 Data Set
Gianmarco Terrones, Shih-Peng Huang, Matthew P. Rivera, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 29, pp. 20333-20348
Closed Access | Times Cited: 18
Designing membranes with specific binding sites for selective ion separations
Camille Violet, Akash Kumar Ball, Mohammad Heiranian, et al.
Nature Water (2024) Vol. 2, Iss. 8, pp. 706-718
Closed Access | Times Cited: 18
Catalyst Energy Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models
Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani
ACS Catalysis (2023) Vol. 13, Iss. 24, pp. 16032-16044
Open Access | Times Cited: 25
On the shoulders of high-throughput computational screening and machine learning: Design and discovery of MOFs for H2 storage and purification
Çiğdem Altıntaş, Seda Keskın
Materials Today Energy (2023) Vol. 38, pp. 101426-101426
Open Access | Times Cited: 24
Evaluation of Open-Source Large Language Models for Metal–Organic Frameworks Research
Xuefeng Bai, Ya-Bo Xie, Xin Zhang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 4958-4965
Closed Access | Times Cited: 15
Informative Training Data for Efficient Property Prediction in Metal–Organic Frameworks by Active Learning
Ashna Jose, Emilie DEVIJVER, N. Jakse, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 9, pp. 6134-6144
Closed Access | Times Cited: 12
Gas adsorption meets deep learning: voxelizing the potential energy surface of metal-organic frameworks
Antonios P. Sarikas, Konstantinos Gkagkas, George E. Froudakis
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks
Junkil Park, Honghui Kim, Yeonghun Kang, et al.
JACS Au (2024) Vol. 4, Iss. 10, pp. 3727-3743
Open Access | Times Cited: 9
Machine Learning for Gas Adsorption in Metal–Organic Frameworks: A Review on Predictive Descriptors
I-Ting Sung, Y. S. Cheng, Chieh‐Ming Hsieh, et al.
Industrial & Engineering Chemistry Research (2025)
Open Access | Times Cited: 1
Artificial Intelligence Meets Laboratory Automation in Discovery and Synthesis of Metal–Organic Frameworks: A Review
Yiming Zhao, Yongjia Zhao, Jian Wang, et al.
Industrial & Engineering Chemistry Research (2025) Vol. 64, Iss. 9, pp. 4637-4668
Closed Access | Times Cited: 1
Developing ChemDFM as a large language foundation model for chemistry
Zihan Zhao, Da Ma, Lu Chen, et al.
Cell Reports Physical Science (2025) Vol. 6, Iss. 4, pp. 102523-102523
Open Access | Times Cited: 1
Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
Yuyang Wang, Changwen Xu, Zijie Li, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 15, pp. 5077-5087
Open Access | Times Cited: 22
PolyNC: a natural and chemical language model for the prediction of unified polymer properties
Haoke Qiu, Lunyang Liu, Xuepeng Qiu, et al.
Chemical Science (2023) Vol. 15, Iss. 2, pp. 534-544
Open Access | Times Cited: 18
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: 17
Towards understanding structure–property relations in materials with interpretable deep learning
Tien-Sinh Vu, Minh-Quyet Ha, Duong‐Nguyen Nguyen, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 17
Large-Scale Pretraining Improves Sample Efficiency of Active Learning-Based Virtual Screening
Zhonglin Cao, Simone Sciabola, Ye Wang
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1882-1891
Closed Access | Times Cited: 8
Application of Transformers in Cheminformatics
Kha-Dinh Luong, Ambuj K. Singh
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4392-4409
Open Access | Times Cited: 8
PACMAN: A Robust Partial Atomic Charge Predicter for Nanoporous Materials Based on Crystal Graph Convolution Networks
Guobin Zhao, Yongchul G. Chung
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 12, pp. 5368-5380
Closed Access | Times Cited: 6
Multimodal language and graph learning of adsorption configuration in catalysis
Janghoon Ock, Srivathsan Badrinarayanan, Rishikesh Magar, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 6
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