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:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs
Fang Wu, Dragomir Radev, Stan Z. Li
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5312-5320
Open Access | Times Cited: 18
Fang Wu, Dragomir Radev, Stan Z. Li
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5312-5320
Open Access | Times Cited: 18
Showing 18 citing articles:
Integration of pre-trained protein language models into geometric deep learning networks
Fang Wu, Lirong Wu, Dragomir Radev, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 22
Fang Wu, Lirong Wu, Dragomir Radev, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 22
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: 20
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: 20
Relative molecule self-attention transformer
Łukasz Maziarka, Dawid Majchrowski, Tomasz Danel, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 11
Łukasz Maziarka, Dawid Majchrowski, Tomasz Danel, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 11
Application of Transformers to Chemical Synthesis
Dong Jin, Yuan Liang, Zihao Xiong, et al.
Molecules (2025) Vol. 30, Iss. 3, pp. 493-493
Open Access
Dong Jin, Yuan Liang, Zihao Xiong, et al.
Molecules (2025) Vol. 30, Iss. 3, pp. 493-493
Open Access
Harnessing large language models for data-scarce learning of polymer properties
Ning Liu, Siavash Jafarzadeh, Brian Y. Lattimer, et al.
Nature Computational Science (2025)
Closed Access
Ning Liu, Siavash Jafarzadeh, Brian Y. Lattimer, et al.
Nature Computational Science (2025)
Closed Access
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
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
Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation
Han Huang, Leilei Sun, Bowen Du, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11857-11871
Closed Access | Times Cited: 5
Han Huang, Leilei Sun, Bowen Du, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11857-11871
Closed Access | Times Cited: 5
Large Language Models as Molecular Design Engines
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7086-7096
Closed Access | Times Cited: 2
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7086-7096
Closed Access | Times Cited: 2
Effective holistic characterization of small molecule effects using heterogeneous biological networks
William Mangione, Zackary Falls, Ram Samudrala
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 7
William Mangione, Zackary Falls, Ram Samudrala
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 7
Extended study on atomic featurization in graph neural networks for molecular property prediction
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Integrating Transformer-based Language Model for Drug Discovery
Roshan R. Kotkondawar, Sanjay R. Sutar, Arvind W. Kiwelekar, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1096-1101
Closed Access | Times Cited: 1
Roshan R. Kotkondawar, Sanjay R. Sutar, Arvind W. Kiwelekar, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1096-1101
Closed Access | Times Cited: 1
Prediction of Vacuum Ultraviolet/Ultraviolet Gas-Phase Absorption Spectra Using Molecular Feature Representations and Machine Learning
Linh Ho Manh, Victoria C. P. Chen, Jay M. Rosenberger, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5547-5556
Closed Access | Times Cited: 1
Linh Ho Manh, Victoria C. P. Chen, Jay M. Rosenberger, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5547-5556
Closed Access | Times Cited: 1
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
Chunyan Li, Junfeng Yao, Jinsong Su, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5169-5177
Open Access | Times Cited: 2
Chunyan Li, Junfeng Yao, Jinsong Su, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5169-5177
Open Access | Times Cited: 2
Molecular Graph Representation Learning via Structural Similarity Information
Chengyu Yao, Hong Huang, Hang Gao, et al.
Lecture notes in computer science (2024), pp. 351-367
Open Access
Chengyu Yao, Hong Huang, Hang Gao, et al.
Lecture notes in computer science (2024), pp. 351-367
Open Access
Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships
Chuang Zhao, Hongke Zhao, Xiaofang Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 8164-8178
Closed Access
Chuang Zhao, Hongke Zhao, Xiaofang Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 8164-8178
Closed Access
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
Taojie Kuang, Pengfei Liu, Zhixiang Ren
Big Data Mining and Analytics (2024) Vol. 7, Iss. 3, pp. 858-888
Open Access
Taojie Kuang, Pengfei Liu, Zhixiang Ren
Big Data Mining and Analytics (2024) Vol. 7, Iss. 3, pp. 858-888
Open Access
Heterogeneous Network Motif Coding, Counting, and Profiling
Shuo Yu, Feng Xia, Honglong Chen, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 9, pp. 1-21
Open Access
Shuo Yu, Feng Xia, Honglong Chen, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 9, pp. 1-21
Open Access
Large Language Models as Molecular Design Engines
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, et al.
(2024)
Open Access
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, et al.
(2024)
Open Access
Key Substructure Learning with Chemical Intuition for Material Property Prediction
Peiliang Zhang, Jingling Yuan, Lin Li, et al.
Lecture notes in computer science (2024), pp. 87-103
Closed Access
Peiliang Zhang, Jingling Yuan, Lin Li, et al.
Lecture notes in computer science (2024), pp. 87-103
Closed Access
