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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:

Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning
Jike Wang, Chang‐Yu Hsieh, Mingyang Wang, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 10, pp. 914-922
Closed Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
Tianyu Wu, Shizhu He, Jingping Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 5, pp. 1122-1136
Closed Access | Times Cited: 622
Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 99
Computer-aided multi-objective optimization in small molecule discovery
Jenna C. Fromer, Connor W. Coley
Patterns (2023) Vol. 4, Iss. 2, pp. 100678-100678
Open Access | Times Cited: 65
Potent antibiotic design via guided search from antibacterial activity evaluations
Lu Chen, Liang Yu, Lin Gao
Bioinformatics (2023) Vol. 39, Iss. 2
Open Access | Times Cited: 53
Artificial intelligence in multi-objective drug design
Sohvi Luukkonen, Helle W. van den Maagdenberg, Michael Emmerich, et al.
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102537-102537
Open Access | Times Cited: 49
PocketFlow is a data-and-knowledge-driven structure-based molecular generative model
Yuanyuan Jiang, Guo Zhang, Jing You, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 326-337
Open Access | Times Cited: 18
Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor
Yueshan Li, Liting Zhang, Yifei Wang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 46
De novo molecular design with deep molecular generative models for PPI inhibitors
Jianmin Wang, Yanyi Chu, Jiashun Mao, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 44
Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention Mechanism
Jiahui Yu, Jike Wang, Hong Zhao, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 12, pp. 2973-2986
Closed Access | Times Cited: 35
Pushing the Boundaries of Molecular Property Prediction for Drug Discovery with Multitask Learning BERT Enhanced by SMILES Enumeration
Xiaochen Zhang, Chengkun Wu, Jiacai Yi, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 35
Deep generative model for drug design from protein target sequence
Yangyang Chen, Zixu Wang, Lei Wang, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 34
A pharmacophore-guided deep learning approach for bioactive molecular generation
Huimin Zhu, Renyi Zhou, Dongsheng Cao, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
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: 11
RediscMol: Benchmarking Molecular Generation Models in Biological Properties
Gaoqi Weng, Huifeng Zhao, Dou Nie, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 2, pp. 1533-1543
Closed Access | Times Cited: 9
Gotta be SAFE: a new framework for molecular design
Emmanuel Noutahi, Cristian Gabellini, Michael Craig, et al.
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 796-804
Open Access | Times Cited: 8
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
MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning
Chengwei Ai, Hongpeng Yang, Xiaoyi Liu, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 6, pp. e1012229-e1012229
Open Access | Times Cited: 7
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access
ABIET: An explainable transformer for identifying functional groups in biological active molecules
Tiago Pereira, Maryam Abbasi, Joel P. Arrais
Computers in Biology and Medicine (2025) Vol. 187, pp. 109740-109740
Open Access
Deep Generative Models in De Novo Drug Molecule Generation
Chao Pang, Jianbo Qiao, Xiangxiang Zeng, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2174-2194
Closed Access | Times Cited: 18
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: 16
FFLOM: A Flow-Based Autoregressive Model for Fragment-to-Lead Optimization
Jieyu Jin, Dong Wang, Guqin Shi, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 15, pp. 10808-10823
Closed Access | Times Cited: 16
Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly
Seonghwan Seo, Jaechang Lim, Woo Youn Kim
Advanced Science (2023) Vol. 10, Iss. 8
Open Access | Times Cited: 15
Spectraformer: deep learning model for grain spectral qualitative analysis based on transformer structure
Zhuo Chen, Zhou Ri-gui, Pengju Ren
RSC Advances (2024) Vol. 14, Iss. 12, pp. 8053-8066
Open Access | Times Cited: 5
Controllable Data Generation by Deep Learning: A Review
Shi-Yu Wang, Yuanqi Du, Xiaojie Guo, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-38
Open Access | Times Cited: 5
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