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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:

A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals
Zheni Zeng, Yuan Yao, Zhiyuan Liu, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

A news-based climate policy uncertainty index for China
Yanran Ma, Zhenhua Liu, Dandan Ma, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 118
Multi-modal molecule structure–text model for text-based retrieval and editing
Shengchao Liu, Weili Nie, Chengpeng Wang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1447-1457
Closed Access | Times Cited: 63
GIT-Mol: A multi-modal large language model for molecular science with graph, image, and text
Pengfei Liu, Yiming Ren, Jun Tao, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108073-108073
Open Access | Times Cited: 25
Translation between Molecules and Natural Language
Carl K. Edwards, Tuan Lai, Kevin Ros, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 59
A Systematic Survey of Chemical Pre-trained Models
Jun Xia, Yanqiao Zhu, Yuanqi Du, et al.
(2023), pp. 6787-6795
Open Access | Times Cited: 32
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: 14
Transformer models in biomedicine
Sumit Madan, Manuel Lentzen, Johannes Brandt, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 12
Overcoming Challenges in Small-Molecule Drug Bioavailability: A Review of Key Factors and Approaches
Ke Wu, Soon Hwan Kwon, Xuhan Zhou, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 13121-13121
Open Access | Times Cited: 12
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
Unraveling the mystery of efficacy in Chinese medicine formula: New approaches and technologies for research on pharmacodynamic substances
Yaolei Li, Zhijian Lin, Yu Wang, et al.
Arabian Journal of Chemistry (2022) Vol. 15, Iss. 11, pp. 104302-104302
Open Access | Times Cited: 34
Machine-learning exploration of polymer compatibility
Zhilong Liang, Zhiwei Li, Shuo Zhou, et al.
Cell Reports Physical Science (2022) Vol. 3, Iss. 6, pp. 100931-100931
Open Access | Times Cited: 32
LT-SEI: Long-Tailed Specific Emitter Identification Based on Decoupled Representation Learning in Low-Resource Scenarios
Haoran Zha, Hanhong Wang, Zhongming Feng, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 1, pp. 929-943
Closed Access | Times Cited: 23
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Jiatong Li, Yunqing Liu, Wenqi Fan, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 17
Toward Unified AI Drug Discovery with Multimodal Knowledge
Yizhen Luo, Xing Yi Liu, Kai Yang, et al.
Health Data Science (2024) Vol. 4
Open Access | Times Cited: 8
Transfer learning empowers accurate pharmacokinetics prediction of small samples
Wenbo Guo, Yawen Dong, Ge‐Fei Hao
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103946-103946
Closed Access | Times Cited: 8
Tokenization in the Theory of Knowledge
Robert Friedman
Encyclopedia (2023) Vol. 3, Iss. 1, pp. 380-386
Open Access | Times Cited: 16
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
Zhiyuan Liu, Sihang Li, Yanchen Luo, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 15623-15638
Open Access | Times Cited: 15
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
Diffusion Models in De Novo Drug Design
Amira A. Alakhdar, Barnabás Póczos, Newell R. Washburn
Journal of Chemical Information and Modeling (2024)
Open Access | Times Cited: 6
An AI Agent for Fully Automated Multi‐Omic Analyses
Juexiao Zhou, Bin Zhang, Guowei Li, et al.
Advanced Science (2024) Vol. 11, Iss. 44
Open Access | Times Cited: 6
Language Models in Molecular Discovery
Nikita Janakarajan, Tim Erdmann, Sarath Swaminathan, et al.
(2024), pp. 121-141
Closed Access | Times Cited: 4
Bioinfo-Bench: A Simple Benchmark Framework for LLM Bioinformatics Skills Evaluation
Qiyuan Chen, Cheng Deng
bioRxiv (Cold Spring Harbor Laboratory) (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
MDFCL: Multimodal data fusion-based graph contrastive learning framework for molecular property prediction
Xu Gong, Maotao Liu, Qun Liu, et al.
Pattern Recognition (2025), pp. 111463-111463
Closed Access
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