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:

Geometry-complete diffusion for 3D molecule generation and optimization
Alex Morehead, Jianlin Cheng
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Xiangru Tang, Howard Dai, Elizabeth Knight, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 7
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
Clément Vignac, Nagham Osman, Laura Toni, et al.
Lecture notes in computer science (2023), pp. 560-576
Closed Access | Times Cited: 14
Geometric deep learning methods and applications in 3D structure-based drug design
Qifeng Bai, Tingyang Xu, Junzhou Huang, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 7, pp. 104024-104024
Closed Access | Times Cited: 4
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: 2
De novo Molecular Design using Deep Learning
Thanh‐Hoang Nguyen‐Vo
(2024)
Open Access | Times Cited: 1
AI-driven antibody design with generative diffusion models: current insights and future directions
Xinheng He, Jun-Rui Li, James Xu, et al.
Acta Pharmacologica Sinica (2024)
Closed Access | Times Cited: 1
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
Haitao Lin, Yufei Huang, Odin Zhang, et al.
Chemical Science (2024)
Open Access | Times Cited: 1
How Good are Current Pocket-Based 3D Generative Models?: The Benchmark Set and Evaluation of Protein Pocket-Based 3D Molecular Generative Models
Haoyang Liu, Yifei Qin, Zhangming Niu, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 1
Decipher Fundamental Atomic Interactions to Unify Generative Molecular Docking and Design
Xingang Peng, Ruixia Guo, Yanchao Xu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Generative AI
Ipsa Bharti, Kavita Chauhan, Priyanka Aggarwal
Advances in linguistics and communication studies (2024), pp. 1-36
Closed Access
Response Matching for Generating Materials and Molecules
Bingqing Cheng
Journal of Chemical Theory and Computation (2024)
Open Access
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