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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:

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: 184

Showing 26-50 of 184 citing articles:

Multi-omics assists genomic prediction of maize yield with machine learning approaches
Chengxiu Wu, Jingyun Luo, Yingjie Xiao
Molecular Breeding (2024) Vol. 44, Iss. 2
Closed Access | Times Cited: 7
Deep Learning for Intrusion Detection Systems (IDSs) in Time Series Data
Konstantinos Psychogyios, Andreas Papadakis, Stavroula Bourou, et al.
Future Internet (2024) Vol. 16, Iss. 3, pp. 73-73
Open Access | Times Cited: 7
Recent Developments in Bio-Ink Formulations Using Marine-Derived Biomaterials for Three-Dimensional (3D) Bioprinting
Zied Khiari
Marine Drugs (2024) Vol. 22, Iss. 3, pp. 134-134
Open Access | Times Cited: 7
Transformer technology in molecular science
Jiang Jian, Ke Lü, Long Chen, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 7
Transformers for Molecular Property Prediction: Lessons Learned from the Past Five Years
A.R. Sultan, Jochen Sieg, Miriam Mathea, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6259-6280
Open Access | Times Cited: 7
The recent advances in the approach of artificial intelligence (AI) towards drug discovery
Mahroza Kanwal Khan, Mohsin Ali Raza, Muhammad Shahbaz, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access | Times Cited: 6
Integrated Transfer Learning and Multitask Learning Strategies to Construct Graph Neural Network Models for Predicting Bioaccumulation Parameters of Chemicals
Zijun Xiao, Minghua Zhu, Jingwen Chen, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 35, pp. 15650-15660
Closed Access | Times Cited: 6
A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Ke Lü, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101081-101081
Open Access | Times Cited: 6
Machine learning in onco-pharmacogenomics: a path to precision medicine with many challenges
Alessia Mondello, Michele Dal Bo, Giuseppe Toffoli, et al.
Frontiers in Pharmacology (2024) Vol. 14
Open Access | Times Cited: 5
A Novel Method for Medical Predictive Models in Small Data Using Out-of-Distribution Data and Transfer Learning
Inyong Jeong, Y.H. Kim, Namjun Cho, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 237-237
Open Access | Times Cited: 5
Advanced AI Applications for Drug Discovery
Bancha Yingngam, Benjabhorn Sethabouppha
Advances in medical technologies and clinical practice book series (2024), pp. 42-86
Closed Access | Times Cited: 5
Improving Molecular‐Dynamics Simulations for Solid–Liquid Interfaces with Machine‐Learning Interatomic Potentials
Pengfei Hou, Yumiao Tian, Xing Meng
Chemistry - A European Journal (2024) Vol. 30, Iss. 49
Closed Access | Times Cited: 5
Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest
Ram Proshad, Md. Abdur Rahim, Mahfuzur Rahman, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175746-175746
Closed Access | Times Cited: 5
Stokes shift prediction of fluorescent organic dyes using machine learning based hybrid cascade models
Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad, et al.
Dyes and Pigments (2023) Vol. 222, pp. 111918-111918
Closed Access | Times Cited: 12
Deep learning for low-data drug discovery: hurdles and opportunities
Derek van Tilborg, Helena Brinkmann, Emanuele Criscuolo, et al.
(2024)
Open Access | Times Cited: 4
Exploring an accurate machine learning model to quickly estimate stability of diverse energetic materials
Qiaolin Gou, Jing Liu, Haoming Su, et al.
iScience (2024) Vol. 27, Iss. 4, pp. 109452-109452
Open Access | Times Cited: 4
Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications
Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, et al.
Data-Centric Engineering (2024) Vol. 5
Open Access | Times Cited: 4
Transformer-based model for predicting length of stay in intensive care unit in sepsis patients
Jeesu Kim, Geun-Hyeong Kim, Jae Woo Kim, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access
Pilot Study: Initial Investigation Suggests Differences in EMT-Associated Gene Expression in Breast Tumor Regions
Kylie L. King, Hamed Abdollahi, Zoe Dinkel, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 548-555
Open Access
FluoBase: a fluorinated agents database
Rafal Mulka, Dan Su, Wen-Shuo Huang, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Small Data Insights for Groundwater Management
Zi Zhan, Yaqiang Wei, Tian‐Chyi Jim Yeh, et al.
Environmental Science & Technology (2025)
Closed Access
Deep learning in nuclear medicine: from imaging to therapy
Meng-Xin Zhang, Pengfei Liu, Mengdi Zhang, et al.
Annals of Nuclear Medicine (2025)
Closed Access
A meta-learning approach for selectivity prediction in asymmetric catalysis
Sukriti Singh, José Miguel Hernández-Lobato
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
A review of machine learning methods for imbalanced data challenges in chemistry
Jiang Jian, Chunhuan Zhang, Ke Lü, et al.
Chemical Science (2025)
Open Access
Impacto de la Investigación Biomédica y la Educación Científica por los Avances en el Diagnóstico Molecular
Panchana Bermello Ismael Bernardito, Carlos Villacreses, Jazmín Elena Castro Jalca
Estudios y Perspectivas Revista Científica y Académica (2025) Vol. 5, Iss. 1, pp. 3934-3961
Closed Access

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