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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:

A review of molecular representation in the age of machine learning
Daniel Wigh, Jonathan M. Goodman, Alexei A. Lapkin
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 180

Showing 1-25 of 180 citing articles:

SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 144
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 144
Crop Yield Prediction using Machine Learning and Deep Learning Techniques
Kavita Jhajharia, Pratistha Mathur, Sanchit Jain, et al.
Procedia Computer Science (2023) Vol. 218, pp. 406-417
Open Access | Times Cited: 70
Accelerated Chemical Reaction Optimization Using Multi-Task Learning
Connor J. Taylor, Kobi Felton, Daniel Wigh, et al.
ACS Central Science (2023) Vol. 9, Iss. 5, pp. 957-968
Open Access | Times Cited: 59
Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
Jin Li, Naiteng Wu, Jian Zhang, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 56
Embracing data science in catalysis research
Manu Suvarna, Javier Pérez‐Ramírez
Nature Catalysis (2024) Vol. 7, Iss. 6, pp. 624-635
Closed Access | Times Cited: 16
Toward an AI Era: Advances in Electronic Skins
Xuemei Fu, Wen Cheng, Guanxiang Wan, et al.
Chemical Reviews (2024) Vol. 124, Iss. 17, pp. 9899-9948
Closed Access | Times Cited: 12
Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms
Junhuang Jiang, Xiangyu Ma, Defang Ouyang, et al.
Pharmaceutics (2022) Vol. 14, Iss. 11, pp. 2257-2257
Open Access | Times Cited: 39
Yes SIR! On the structure–inactivity relationships in drug discovery
Edgar López‐López, Eli Fernández‐de Gortari, José L. Medina‐Franco
Drug Discovery Today (2022) Vol. 27, Iss. 8, pp. 2353-2362
Closed Access | Times Cited: 37
Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy
Xinyuan Bi, Li Lin, Zhou Chen, et al.
Small Methods (2023) Vol. 8, Iss. 1
Closed Access | Times Cited: 34
Molecular Machine Learning for Chemical Catalysis: Prospects and Challenges
Sukriti Singh, Raghavan B. Sunoj
Accounts of Chemical Research (2023) Vol. 56, Iss. 3, pp. 402-412
Closed Access | Times Cited: 30
Machine learning for small molecule drug discovery in academia and industry
Andrea Volkamer, Sereina Riniker, Eva Nittinger, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 3, pp. 100056-100056
Open Access | Times Cited: 29
Explainable uncertainty quantifications for deep learning-based molecular property prediction
Chu-I Yang, Yi‐Pei Li
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 27
Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
N. Shirokii, Y. Din, Ilya Petrov, et al.
Small (2023) Vol. 19, Iss. 19
Closed Access | Times Cited: 26
Machine learning in process systems engineering: Challenges and opportunities
Pródromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, et al.
Computers & Chemical Engineering (2023) Vol. 181, pp. 108523-108523
Open Access | Times Cited: 26
Computer-Aided Molecular Design of Ionic Liquids as Advanced Process Media: A Review from Fundamentals to Applications
Zhen Song, Jiahui Chen, Jie Cheng, et al.
Chemical Reviews (2023) Vol. 124, Iss. 2, pp. 248-317
Closed Access | Times Cited: 25
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 23
SELFormer: molecular representation learning via SELFIES language models
Atakan Yüksel, Erva Ulusoy, Atabey Ünlü, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025035-025035
Open Access | Times Cited: 20
TransFoxMol: predicting molecular property with focused attention
Jian Gao, Zheyuan Shen, Yufeng Xie, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 20
Structural design of organic battery electrode materials: from DFT to artificial intelligence
Tingting Wu, Gaole Dai, Jinjia Xu, et al.
Rare Metals (2023) Vol. 42, Iss. 10, pp. 3269-3303
Closed Access | Times Cited: 20
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
Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery
Xiaochu Tong, Ning Qu, Xiangtai Kong, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Paving the road towards automated homogeneous catalyst design
Adarsh V. Kalikadien, A.H. Mirza, Aydin Najl Hossaini, et al.
ChemPlusChem (2024) Vol. 89, Iss. 7
Open Access | Times Cited: 9
SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction
ZHU Jing, Chao Che, Hao Jiang, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Mapping the Binary Covalent Alloy Space to Pursue Superior Nitrogen Reduction Reaction Catalysts
Cooper Tezak, Sophie Gerits, Benjamin Rich, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 28
Closed Access | Times Cited: 6
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