
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:
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Zequn Liu, Wei Zhang, Yingce Xia, et al.
(2023), pp. 1606-1616
Open Access | Times Cited: 14
Zequn Liu, Wei Zhang, Yingce Xia, et al.
(2023), pp. 1606-1616
Open Access | Times Cited: 14
Showing 14 citing articles:
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: 9
Kha-Dinh Luong, Ambuj K. Singh
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4392-4409
Open Access | Times Cited: 9
Fine-Tuning GPT on Biomedical NLP Tasks: An Empirical Evaluation
Hamza Bousselham, El Habib Nfaoui, Asmaa Mourhir
(2024), pp. 1-6
Closed Access | Times Cited: 8
Hamza Bousselham, El Habib Nfaoui, Asmaa Mourhir
(2024), pp. 1-6
Closed Access | Times Cited: 8
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
Qizhi Pei, Wei Zhang, Jinhua Zhu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 10
Qizhi Pei, Wei Zhang, Jinhua Zhu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 10
A quantitative analysis of knowledge-learning preferences in large language models in molecular science
Pengfei Liu, Jun Tao, Zhixiang Ren
Nature Machine Intelligence (2025)
Open Access
Pengfei Liu, Jun Tao, Zhixiang Ren
Nature Machine Intelligence (2025)
Open Access
Foundation models for materials discovery – current state and future directions
Edward O. Pyzer‐Knapp, Matteo Manica, Peter Staar, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Edward O. Pyzer‐Knapp, Matteo Manica, Peter Staar, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Instruction multi-constraint molecular generation using a teacher-student large language model
Peng Zhou, Jianmin Wang, Chunyan Li, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Peng Zhou, Jianmin Wang, Chunyan Li, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on the Chemical Structure
Shengjie Xu, Lingxi Xie, Rujie Dai, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 10, pp. 4859-4859
Open Access
Shengjie Xu, Lingxi Xie, Rujie Dai, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 10, pp. 4859-4859
Open Access
Applications of artificial intelligence to lipid nanoparticle delivery
Ye Yuan, Yuqi Wu, Jiabei Cheng, et al.
Particuology (2023) Vol. 90, pp. 88-97
Open Access | Times Cited: 9
Ye Yuan, Yuqi Wu, Jiabei Cheng, et al.
Particuology (2023) Vol. 90, pp. 88-97
Open Access | Times Cited: 9
Guided diffusion for molecular generation with interaction prompt
Peng Wu, Huabin Du, Yingchao Yan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 3
Peng Wu, Huabin Du, Yingchao Yan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 3
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
Haoqiang Guo, Sendong Zhao, Haochun Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18144-18152
Open Access | Times Cited: 2
Haoqiang Guo, Sendong Zhao, Haochun Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18144-18152
Open Access | Times Cited: 2
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
Henry Sprueill, Carl N. Edwards, Mariefel V. Olarte, et al.
(2023), pp. 8348-8365
Open Access | Times Cited: 2
Henry Sprueill, Carl N. Edwards, Mariefel V. Olarte, et al.
(2023), pp. 8348-8365
Open Access | Times Cited: 2
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
Yuhan Chen, Nuwa Xi, Yanrui Du, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 21958-21966
Open Access
Yuhan Chen, Nuwa Xi, Yanrui Du, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 21958-21966
Open Access
Making machine learning on HPC systems cost-effective and carbon-friendly
Baolin Li
(2024)
Open Access
Baolin Li
(2024)
Open Access
Feedback-aligned Mixed LLMs for Machine Language-Molecule Translation
Dimitris Gkoumas, Maria Liakata
(2024)
Open Access
Dimitris Gkoumas, Maria Liakata
(2024)
Open Access
Guided Diffusion for molecular generation with interaction prompt
Peng Wu, Huabin Du, Yingchao Yan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Peng Wu, Huabin Du, Yingchao Yan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access