Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Augmenting large language models with chemistry tools
Andres M. Bran, Sam Cox, Oliver Schilter, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 5, pp. 525-535
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Autonomous chemical research with large language models
Daniil A. Boiko, Robert MacKnight, Ben Kline, et al.
Nature (2023) Vol. 624, Iss. 7992, pp. 570-578
Open Access | Times Cited: 208
ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs
Zhiling Zheng, Oufan Zhang, Ha L. Nguyen, et al.
ACS Central Science (2023) Vol. 9, Iss. 11, pp. 2161-2170
Open Access | Times Cited: 44
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 18
ProtAgents: protein discovery via large language model multi-agent collaborations combining physics and machine learning
Alireza Ghafarollahi, Markus J. Buehler
Digital Discovery (2024) Vol. 3, Iss. 7, pp. 1389-1409
Open Access | Times Cited: 11
Tool learning with large language models: a survey
Changle Qu, Sunhao Dai, Xiaochi Wei, et al.
Frontiers of Computer Science (2025) Vol. 19, Iss. 8
Open Access | Times Cited: 1
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Jiatong Li, Yunqing Liu, Wenqi Fan, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6071-6083
Open Access | Times Cited: 11
Language models for biological research: a primer
Elana P. Simon, Kyle Swanson, James Zou
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1422-1429
Closed Access | Times Cited: 10
Empowering biomedical discovery with AI agents
Shanghua Gao, Ada Fang, Yepeng Huang, et al.
Cell (2024) Vol. 187, Iss. 22, pp. 6125-6151
Open Access | Times Cited: 8
A prompt-engineered large language model, deep learning workflow for materials classification
Siyu Liu, Tongqi Wen, Arvind Pattamatta, et al.
Materials Today (2024)
Closed Access | Times Cited: 7
Crystal structure generation with autoregressive large language modeling
Luis M. Antunes, Keith T. Butler, Ricardo Grau‐Crespo
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Unveiling the power of language models in chemical research question answering
Xiuying Chen, Tairan Wang, Taicheng Guo, et al.
Communications Chemistry (2025) Vol. 8, Iss. 1
Open Access
Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam
Beilstein Journal of Organic Chemistry (2025) Vol. 21, pp. 10-38
Open Access
iDesignGPT: large language model agentic workflows boost engineering design
Zhinan Zhang, Songkai Liu, Yanqing Shen, et al.
Research Square (Research Square) (2025)
Closed Access
Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models
Geemi P. Wellawatte, Philippe Schwaller
Communications Chemistry (2025) Vol. 8, Iss. 1
Open Access
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access
Harnessing Large Language Models to Collect and Analyze Metal–Organic Framework Property Data Set
Yeonghun Kang, Wonseok Lee, Taeun Bae, et al.
Journal of the American Chemical Society (2025)
Closed Access
Boosting AI with neuromorphic computing

Nature Computational Science (2025)
Closed Access
Automating alloy design and discovery with physics-aware multimodal multiagent AI
Alireza Ghafarollahi, Markus J. Buehler
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 4
Open Access
Using Machine Learning and GPT Models To Enhance Electrochemical Pretreatment of Anaerobic Cofermentation: Prediction, Early Warning, and Biomarker Identification
Jinqi Jiang, Qingshan Lin, Xiaohong Guan, et al.
ACS ES&T Engineering (2025)
Closed Access
Large language models for reticular chemistry
Zhiling Zheng, Nakul Rampal, Theo Jaffrelot Inizan, et al.
Nature Reviews Materials (2025)
Closed Access
Exploring the potential of large language models for improving digital forensic investigation efficiency
Akila Wickramasekara, Frank Breitinger, Mark Scanlon
Forensic Science International Digital Investigation (2025) Vol. 52, pp. 301859-301859
Closed Access
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
From intuition to AI: evolution of small molecule representations in drug discovery
Miles McGibbon, Steven Shave, Jie Dong, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 17
Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules
Zikai Xie, Xenophon Evangelopoulos, Ömer H. Omar, et al.
Chemical Science (2023) Vol. 15, Iss. 2, pp. 500-510
Open Access | Times Cited: 14
Bioinformatics and biomedical informatics with ChatGPT: Year one review
Jinge Wang, Zien Cheng, Qiuming Yao, et al.
Quantitative Biology (2024) Vol. 12, Iss. 4, pp. 345-359
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top