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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.

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Showing 1-25 of 35 citing articles:

HydrogelFinder: A Foundation Model for Efficient Self‐Assembling Peptide Discovery Guided by Non‐Peptidal Small Molecules
Xuanbai Ren, Jiaying Wei, Xiaoli Luo, et al.
Advanced Science (2024) Vol. 11, Iss. 26
Open Access | Times Cited: 12
Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review
Amit Gangwal, Azim Ansari, Iqrar Ahmad, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108734-108734
Closed Access | Times Cited: 9
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 8
A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications
Zilong Yin, Haoyu Wang, Bin Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107388-107388
Closed Access
Scientific Large Language Models: A Survey on Biological & Chemical Domains
Qiang Zhang, Keyan Ding, Tingting Lv, et al.
ACM Computing Surveys (2025)
Closed Access
Drug discovery and development in the era of artificial intelligence: From machine learning to large language models
Shenghui Guan, Guanyu Wang
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100070-100070
Open Access | Times Cited: 5
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: 5
Data-Driven Modeling Methods and Techniques for Pharmaceutical Processes
Yachao Dong, Ting Yang, Yafeng Xing, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2096-2096
Open Access | Times Cited: 11
Enhancing Generic Reaction Yield Prediction through Reaction Condition-Based Contrastive Learning
Xiaodan Yin, Chang‐Yu Hsieh, Xiaorui Wang, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 3
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: 3
A BERT-based pretraining model for extracting molecular structural information from a SMILES sequence
Xiaofan Zheng, Yoichi Tomiura
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center
Xiaorui Wang, Chang‐Yu Hsieh, Xiaodan Yin, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 6
Advancing Adverse Drug Reaction Prediction with Deep Chemical Language Model for Drug Safety Evaluation
Jinzhu Lin, Yujie He, Chengxiang Ru, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 8, pp. 4516-4516
Open Access | Times Cited: 1
Enhancing Molecular Property Prediction through Task-Oriented Transfer Learning: Integrating Universal Structural Insights and Domain-Specific Knowledge
Yanjing Duan, Xixi Yang, Xiangxiang Zeng, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 11, pp. 9575-9586
Closed Access | Times Cited: 1
Integrating transformers and many-objective optimization for drug design
Nicholas Aksamit, Jinqiang Hou, Yifeng Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Multi-task pretrained language model with novel application domains enables more comprehensive health and ecological toxicity prediction
Zhichao Tan, Youcai Zhao, Kunsen Lin, et al.
Journal of Hazardous Materials (2024) Vol. 477, pp. 135265-135265
Closed Access | Times Cited: 1
Prediction of Cytochrome P450 Substrates Using the Explainable Multitask Deep Learning Models
Jiaojiao Fang, Yan Tang, Changda Gong, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 9, pp. 1535-1548
Closed Access | Times Cited: 1
A study on optical properties of various hot drug molecules by 2020
Chun Zhang, Yuting Yang, Xue Yan, et al.
New Journal of Chemistry (2023) Vol. 47, Iss. 21, pp. 10046-10060
Closed Access | Times Cited: 4
Insights into deep learning framework for molecular property prediction based on different tokenization algorithms
Jianlin Yan, Zhenyu Zhang, Miaomiao Meng, et al.
Chemical Engineering Science (2023) Vol. 285, pp. 119471-119471
Closed Access | Times Cited: 4
Is fragment-based graph a better graph-based molecular representation for drug design? A comparison study of graph-based models
Baiyu Chen, Ziqi Pan, Minjie Mou, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107811-107811
Closed Access | Times Cited: 2
Evaluation of machine learning models for cytochrome P450 3A4, 2D6, and 2C9 inhibition
Changda Gong, Yanjun Feng, Jieyu Zhu, et al.
Journal of Applied Toxicology (2024) Vol. 44, Iss. 7, pp. 1050-1066
Closed Access
Integrating Transformers and Many-Objective Optimization for Cancer Drug Design
Nicholas Aksamit, Jinqiang Hou, Yifeng Li, et al.
Research Square (Research Square) (2024)
Open Access
Hybrid Fragment-SMILES Tokenization for ADMET Prediction in Drug Discovery
Nicholas Aksamit, Alain Tchagang, Yifeng Li, et al.
Research Square (Research Square) (2024)
Open Access
"Several Birds with One Stone": Exploring the Potential of AI Methods for Multi-Target Drug Design
Muhetaer Mukaidaisi, Madiha Ahmed, Karl Grantham, et al.
Research Square (Research Square) (2024)
Open Access
Advancing the Boundary of Pre-trained Models for Drug Discovery: Interpretable Fine-Tuning Empowered by Molecular Physicochemical Properties
Xiaoqing Lian, Jie Zhu, Tianxu Lv, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7633-7646
Open Access
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