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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:

Guided diffusion for inverse molecular design
Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, et al.
Nature Computational Science (2023) Vol. 3, Iss. 10, pp. 873-882
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A prompt-engineered large language model, deep learning workflow for materials classification
Siyu Liu, Tongqi Wen, Arvind Pattamatta, et al.
Materials Today (2024)
Closed Access | Times Cited: 7
COMPAS-2: a dataset of cata-condensed hetero-polycyclic aromatic systems
Eduardo Mayo Yanes, Sabyasachi Chakraborty, Renana Gershoni‐Poranne
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
On-demand reverse design of polymers with PolyTAO
Haoke Qiu, Zhao‐Yan Sun
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
COMPAS-3: a Dataset of peri-Condensed Polybenzenoid Hydrocarbons
Alexandra Wahab, Renana Gershoni‐Poranne
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 21, pp. 15344-15357
Open Access | Times Cited: 4
Integrating chemistry knowledge in large language models via prompt engineering
Hongxuan Liu, Haoyu Yin, Zhiyao Luo, et al.
Synthetic and Systems Biotechnology (2024) Vol. 10, Iss. 1, pp. 23-38
Open Access | Times Cited: 4
Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives
Xinyu Lu, Hao-Ping Wu, Hao Ma, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 20, pp. 7959-7975
Closed Access | Times Cited: 3
OM-DIFF: INVERSE-DESIGN OF ORGANOMETALLIC CATALYSTS WITH GUIDED EQUIVARIANT DENOISING DIFFUSION
François Cornet, Bardi Benediktsson, Bjarke Hastrup, et al.
(2024)
Open Access | Times Cited: 2
Large language model in electrocatalysis
Chengyi Zhang, Xingyu Wang, Ziyun Wang
CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) (2024) Vol. 59, pp. 7-14
Closed Access | Times Cited: 2
PointGAT: A Quantum Chemical Property Prediction Model Integrating Graph Attention and 3D Geometry
Rong Zhang, Rongqing Yuan, Boxue Tian
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 10, pp. 4115-4128
Open Access | Times Cited: 2
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models
Hyuna Kwon, Tim Hsu, Wenyu Sun, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045037-045037
Open Access | Times Cited: 2
Active Causal Learning for Decoding Chemical Complexities with Targeted Interventions
Zachary Fox, Ayana Ghosh
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035056-035056
Open Access | Times Cited: 1
Structure-based drug design with equivariant diffusion models
Arne Schneuing, Charles B. Harris, Yuanqi Du, et al.
Nature Computational Science (2024)
Open Access | Times Cited: 1
Modeling-driven materials by design for conjugated polymers: insights into optoelectronic, conformational, and thermomechanical properties
Zhaofan Li, Sarah A. Tolba, Yang Wang, et al.
Chemical Communications (2024) Vol. 60, Iss. 82, pp. 11625-11641
Open Access | Times Cited: 1
Opportunities and challenges of diffusion models for generative AI
Minshuo Chen, Mei Song, Jianqing Fan, et al.
National Science Review (2024) Vol. 11, Iss. 12
Open Access | Times Cited: 1
Generative diffusion model for surface structure discovery
Nikolaj Rønne, Alán Aspuru‐Guzik, Bjørk Hammer
Physical review. B./Physical review. B (2024) Vol. 110, Iss. 23
Open Access | Times Cited: 1
COMPAS-3: a Data Set of peri-Condensed Polybenzenoid Hydrocarbons
Alexandra Wahab, Renana Gershoni‐Poranne
(2024)
Open Access
Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?
Grant M. Rotskoff
Current Opinion in Solid State and Materials Science (2024) Vol. 30, pp. 101158-101158
Closed Access
Integrating Chemistry Knowledge in Large Language Models Via Prompt Engineering
Hongxuan Liu, Haoyu Yin, Zhiyao Luo, et al.
(2024)
Open Access
Transferability of Buckingham Parameters for Short-Range Repulsion between Topological Atoms
Jaiming J. K. Chung, Matthew L. Brown, Paul L. A. Popelier
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 22, pp. 4561-4572
Open Access
On-Demand Reverse Design of Polymers with PolyTAO
Haoke Qiu, Zhao‐Yan Sun
(2024)
Open Access
Integration of artificial intelligence and big data in materials science: New paradigms and scientific discoveries
Shuai Yang, Jianjun Liu, Fan Jin, et al.
Chinese Science Bulletin (Chinese Version) (2024) Vol. 69, Iss. 32, pp. 4730-4747
Closed Access
OM-Diff: inverse-design of organometallic catalysts with guided equivariant denoising diffusion
François Cornet, Bardi Benediktsson, Bjarke Hastrup, et al.
Digital Discovery (2024) Vol. 3, Iss. 9, pp. 1793-1811
Open Access
Tuning the HOMO-LUMO gap of polycyclic conjugated molecules using benzo-annelation strategy
Slavko Radenković, Slađana Đorđević, Marijana Nikolendžić
Chemical Physics Letters (2024) Vol. 856, pp. 141686-141686
Closed Access
Aromatic terminology. Highlighting the keywords polycyclic aromatic hydrocarbons (PAHs) and polycyclic aromatic compounds (PACs)
Israel Agranat
Structural Chemistry (2024) Vol. 36, Iss. 1, pp. 73-75
Open Access
Diffusion Generative Models for Designing Efficient Singlet Fission Dimers
Lasse Kreimendahl, Mikhail Karnaukh, Merle I. S. Röhr
The Journal of Physical Chemistry A (2024) Vol. 129, Iss. 1, pp. 407-414
Closed Access
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