
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:
Structured information extraction from scientific text with large language models
John Dagdelen, Alexander Dunn, Sang‐Hoon Lee, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 125
John Dagdelen, Alexander Dunn, Sang‐Hoon Lee, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 125
Showing 1-25 of 125 citing articles:
The application of large language models in medicine: A scoping review
Xiangbin Meng, Xiangyu Yan, Kuo Zhang, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109713-109713
Open Access | Times Cited: 57
Xiangbin Meng, Xiangyu Yan, Kuo Zhang, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109713-109713
Open Access | Times Cited: 57
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning
J. Harry Caufield, Harshad Hegde, Vincent Emonet, et al.
Bioinformatics (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 42
J. Harry Caufield, Harshad Hegde, Vincent Emonet, et al.
Bioinformatics (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 42
ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models
Yeonghun Kang, Jihan Kim
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 33
Yeonghun Kang, Jihan Kim
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 33
Large language models for generative information extraction: a survey
Derong Xu, Wei Chen, Wenjun Peng, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 32
Derong Xu, Wei Chen, Wenjun Peng, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 32
Reducing LLM Hallucination Using Knowledge Distillation: A Case Study with Mistral Large and MMLU Benchmark
Daniel McDonald, Rachael Papadopoulos, Leslie Benningfield
(2024)
Open Access | Times Cited: 20
Daniel McDonald, Rachael Papadopoulos, Leslie Benningfield
(2024)
Open Access | Times Cited: 20
Chemical risk assessment in food animals via physiologically based pharmacokinetic modeling − Part I: Veterinary drugs on human food safety assessment
Kun Mi, Xue Wu, Zhoumeng Lin
Environment International (2025) Vol. 197, pp. 109339-109339
Open Access | Times Cited: 2
Kun Mi, Xue Wu, Zhoumeng Lin
Environment International (2025) Vol. 197, pp. 109339-109339
Open Access | Times Cited: 2
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models
Surabhi Datta, Kyeryoung Lee, Hunki Paek, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 2, pp. 375-385
Open Access | Times Cited: 27
Surabhi Datta, Kyeryoung Lee, Hunki Paek, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 2, pp. 375-385
Open Access | Times Cited: 27
Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 12
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 12
Has generative artificial intelligence solved inverse materials design?
Hyunsoo Park, Zhenzhu Li, Aron Walsh
Matter (2024) Vol. 7, Iss. 7, pp. 2355-2367
Open Access | Times Cited: 11
Hyunsoo Park, Zhenzhu Li, Aron Walsh
Matter (2024) Vol. 7, Iss. 7, pp. 2355-2367
Open Access | Times Cited: 11
Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
Rui Ding, Junhong Chen, Yuxin Chen, et al.
Chemical Society Reviews (2024)
Open Access | Times Cited: 10
Rui Ding, Junhong Chen, Yuxin Chen, et al.
Chemical Society Reviews (2024)
Open Access | Times Cited: 10
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 10
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 10
Flexible, model-agnostic method for materials data extraction from text using general purpose language models
Maciej P. Polak, Shrey Modi, Anna Latosinska, et al.
Digital Discovery (2024) Vol. 3, Iss. 6, pp. 1221-1235
Open Access | Times Cited: 9
Maciej P. Polak, Shrey Modi, Anna Latosinska, et al.
Digital Discovery (2024) Vol. 3, Iss. 6, pp. 1221-1235
Open Access | Times Cited: 9
Harnessing EHR data for health research
Alice Tang, Sarah Woldemariam, Silvia Miramontes, et al.
Nature Medicine (2024) Vol. 30, Iss. 7, pp. 1847-1855
Closed Access | Times Cited: 9
Alice Tang, Sarah Woldemariam, Silvia Miramontes, et al.
Nature Medicine (2024) Vol. 30, Iss. 7, pp. 1847-1855
Closed Access | Times Cited: 9
Crystal Composition Transformer: Self‐Learning Neural Language Model for Generative and Tinkering Design of Materials
Lai Wei, Qinyang Li, Yuqi Song, et al.
Advanced Science (2024)
Open Access | Times Cited: 9
Lai Wei, Qinyang Li, Yuqi Song, et al.
Advanced Science (2024)
Open Access | Times Cited: 9
Characterising global antimicrobial resistance research explains why One Health solutions are slow in development: An application of AI-based gap analysis
Cai Chen, Shu‐Le Li, Yaoyang Xu, et al.
Environment International (2024) Vol. 187, pp. 108680-108680
Open Access | Times Cited: 8
Cai Chen, Shu‐Le Li, Yaoyang Xu, et al.
Environment International (2024) Vol. 187, pp. 108680-108680
Open Access | Times Cited: 8
GoNoGo: An Efficient LLM-Based Multi-agent System for Streamlining Automotive Software Release Decision-Making
Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt, et al.
Lecture notes in computer science (2025), pp. 30-45
Closed Access | Times Cited: 1
Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt, et al.
Lecture notes in computer science (2025), pp. 30-45
Closed Access | Times Cited: 1
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 18
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 18
Machine learning in materials research: Developments over the last decade and challenges for the future
Anubhav Jain
Current Opinion in Solid State and Materials Science (2024) Vol. 33, pp. 101189-101189
Open Access | Times Cited: 7
Anubhav Jain
Current Opinion in Solid State and Materials Science (2024) Vol. 33, pp. 101189-101189
Open Access | Times Cited: 7
Creation of a structured solar cell material dataset and performance prediction using large language models
Tong Xie, Y Wan, Yufei Zhou, et al.
Patterns (2024) Vol. 5, Iss. 5, pp. 100955-100955
Open Access | Times Cited: 6
Tong Xie, Y Wan, Yufei Zhou, et al.
Patterns (2024) Vol. 5, Iss. 5, pp. 100955-100955
Open Access | Times Cited: 6
COCONUT 2.0: a comprehensive overhaul and curation of the collection of open natural products database
Venkata Chandrasekhar Nainala, Kohulan Rajan, Sri Ram Sagar Kanakam, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D634-D643
Open Access | Times Cited: 6
Venkata Chandrasekhar Nainala, Kohulan Rajan, Sri Ram Sagar Kanakam, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D634-D643
Open Access | Times Cited: 6
A rule-free workflow for the automated generation of databases from scientific literature
Luke P. J. Gilligan, Matteo Cobelli, Valentin Taufour, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 13
Luke P. J. Gilligan, Matteo Cobelli, Valentin Taufour, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 13
Rational electrolyte design for Li-metal batteries operated under extreme conditions: a combined DFT, COSMO-RS, and machine learning study
Liang‐Ting Wu, Yuting Zhan, Zhong-Lun Li, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 26, pp. 15792-15802
Closed Access | Times Cited: 5
Liang‐Ting Wu, Yuting Zhan, Zhong-Lun Li, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 26, pp. 15792-15802
Closed Access | Times Cited: 5
Automatic pipeline for information of curve graphs in papers based on deep learning
Yuexing Han, Jinhua Xia, Rui Zhang, et al.
International Journal of Machine Learning and Cybernetics (2025)
Open Access
Yuexing Han, Jinhua Xia, Rui Zhang, et al.
International Journal of Machine Learning and Cybernetics (2025)
Open Access
Using Large Language Models to Assist Antimicrobial Resistance Policy Development: Integrating the Environment into Health Protection Planning
Chen Cai, Shu‐Le Li, Anthony D. So, et al.
Environmental Science & Technology (2025)
Closed Access
Chen Cai, Shu‐Le Li, Anthony D. So, et al.
Environmental Science & Technology (2025)
Closed Access
Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications
Bastian Achenbach, Aysu Yurduşen, Norbert Stock, et al.
Advanced Materials (2025)
Open Access
Bastian Achenbach, Aysu Yurduşen, Norbert Stock, et al.
Advanced Materials (2025)
Open Access