Open Access Helper

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:

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

Showing 10 citing articles:

Scientific Large Language Models: A Survey on Biological & Chemical Domains
Qiang Zhang, Keyan Ding, Tingting Lv, et al.
ACM Computing Surveys (2025)
Closed Access | Times Cited: 4
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: 16
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
Herbal ingredient-target interaction prediction via multi-modal learning
Xudong Liang, Guoqi Lai, Jiang Yu, et al.
Information Sciences (2025), pp. 122115-122115
Closed Access
Unified Deep Learning of Molecular and Protein Language Representations with T5ProtChem
Thomas J. Kelly, Song Xia, Jieyu Lü, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Predicting the Brain-To-Plasma Unbound Partition Coefficient of Compounds via Formula-Guided Network
Yurong Zou, Haolun Yuan, Zhongning Guo, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Deep learning methods for protein representation and function prediction: A comprehensive overview
Mingqing Wang, Zhiwei Nie, Yonghong He, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 155, pp. 110977-110977
Closed Access
Improving protein-protein interaction modulator predictions via knowledge-fused language models
Zitong Zhang, Quan Zou, Chunyu Wang, et al.
Information Fusion (2025), pp. 103227-103227
Closed Access
Toward De Novo Protein Design from Natural Language
Fengyuan Dai, Yuliang Fan, Jin Su, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
Yizhen Luo, Kai Yang, Massimo Hong, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2082-2093
Open Access
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