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:
Leveraging Large Language Models for Predictive Chemistry
Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero, et al.
(2023)
Open Access | Times Cited: 18
Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero, et al.
(2023)
Open Access | Times Cited: 18
Showing 18 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: 258
Daniil A. Boiko, Robert MacKnight, Ben Kline, et al.
Nature (2023) Vol. 624, Iss. 7992, pp. 570-578
Open Access | Times Cited: 258
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 131
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 131
The Road Ahead for Metal–Organic Frameworks: Current Landscape, Challenges and Future Prospects
Michael L. Barsoum, Kira M. Fahy, William Morris, et al.
ACS Nano (2025)
Closed Access | Times Cited: 5
Michael L. Barsoum, Kira M. Fahy, William Morris, et al.
ACS Nano (2025)
Closed Access | Times Cited: 5
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
Post-Pretraining Large Language Model Enabled Reverse Design of MOFs for Hydrogen Storage
Z.Y. Liu, Yuqiao Su, Yujie Guo, et al.
(2024)
Open Access | Times Cited: 4
Z.Y. Liu, Yuqiao Su, Yujie Guo, et al.
(2024)
Open Access | Times Cited: 4
Molecular dynamics and machine learning unlock possibilities in beauty design—A perspective
Yuzhi Xu, Haowei Ni, Fanyu Zhao, et al.
AIP Advances (2025) Vol. 15, Iss. 1
Open Access
Yuzhi Xu, Haowei Ni, Fanyu Zhao, et al.
AIP Advances (2025) Vol. 15, Iss. 1
Open Access
Machine learning in materials research: developments over the last decade and challenges for the future
Anubhav Jain
(2024)
Open Access | Times Cited: 3
Anubhav Jain
(2024)
Open Access | Times Cited: 3
BatGPT-Chem: A Foundation Large Model For Chemical Engineering
Yifei Yang, Runhan Shi, Zuchao Li, et al.
(2024)
Open Access | Times Cited: 3
Yifei Yang, Runhan Shi, Zuchao Li, et al.
(2024)
Open Access | Times Cited: 3
A multi-agent-driven robotic AI chemist enabling autonomous chemical research on demand
Tao Song, Man Luo, Linjiang Chen, et al.
(2024)
Open Access | Times Cited: 3
Tao Song, Man Luo, Linjiang Chen, et al.
(2024)
Open Access | Times Cited: 3
A multi-agent-driven robotic AI chemist enabling autonomous chemical research on demand
Tao Song, Man Luo, Linjiang Chen, et al.
(2024)
Open Access | Times Cited: 2
Tao Song, Man Luo, Linjiang Chen, et al.
(2024)
Open Access | Times Cited: 2
Stereochemistry-aware string-based molecular generation
Gary Tom, Edwin C.L. Yu, Naruki Yoshikawa, et al.
(2024)
Open Access | Times Cited: 2
Gary Tom, Edwin C.L. Yu, Naruki Yoshikawa, et al.
(2024)
Open Access | Times Cited: 2
Improved decision making with similarity based machine learning: applications in chemistry
Dominik Lemm, Guido Falk von Rudorff, O. Anatole von Lilienfeld
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 045043-045043
Open Access | Times Cited: 6
Dominik Lemm, Guido Falk von Rudorff, O. Anatole von Lilienfeld
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 045043-045043
Open Access | Times Cited: 6
Leveraging natural language processing to curate the tmCAT, tmPHOTO, tmBIO, and tmSCO datasets of functional transition metal complexes
Ilia Kevlishvili, Roland St. Michel, Aaron Garrison, et al.
(2024)
Open Access | Times Cited: 1
Ilia Kevlishvili, Roland St. Michel, Aaron Garrison, et al.
(2024)
Open Access | Times Cited: 1
Large Language Models are Catalyzing Chemistry Education
Yuanqi Du, Chenru Duan, Andres M. Bran, et al.
(2024)
Open Access | Times Cited: 1
Yuanqi Du, Chenru Duan, Andres M. Bran, et al.
(2024)
Open Access | Times Cited: 1
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Generative artificial intelligence performs rudimentary structural biology modeling
Alexander M. Ille, Christopher Markosian, S.K. Burley, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Alexander M. Ille, Christopher Markosian, S.K. Burley, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
LLMs can Design Sustainable Concrete – a Systematic Benchmark
Christoph Völker, Tehseen Rug, Kevin Maik Jablonka, et al.
Research Square (Research Square) (2024)
Open Access
Christoph Völker, Tehseen Rug, Kevin Maik Jablonka, et al.
Research Square (Research Square) (2024)
Open Access
FuncFetch: An LLM-assisted workflow enables mining thousands of enzyme-substrate interactions from published manuscripts
Nathaniel Smith, Xinyu Yuan, Chesney Melissinos, et al.
Bioinformatics (2024)
Open Access
Nathaniel Smith, Xinyu Yuan, Chesney Melissinos, et al.
Bioinformatics (2024)
Open Access
