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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:

Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints
Mario Lovrić, Tomislav Đuričić, Han Tran, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 8, pp. 758-758
Open Access | Times Cited: 23

Showing 23 citing articles:

Democratizing cheminformatics: interpretable chemical grouping using an automated KNIME workflow
José Teófilo Moreira-Filho, Dhruv Ranganath, Mike Conway, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
From High Dimensions to Human Insight: Exploring Dimensionality Reduction for Chemical Space Visualization
Alexey A. Orlov, Tagir Akhmetshin, Dragos Horvath, et al.
Molecular Informatics (2024) Vol. 44, Iss. 1
Closed Access | Times Cited: 3
Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study
Claire Jean-Quartier, Miguel Rey Mazón, Mario Lovrić, et al.
Data (2022) Vol. 7, Iss. 2, pp. 20-20
Open Access | Times Cited: 14
Compression of molecular fingerprints with autoencoder networks
Agnieszka Ilnicka, Gisbert Schneider
Molecular Informatics (2023) Vol. 42, Iss. 6
Open Access | Times Cited: 8
A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)
Michelle Rygus, Alessandro Novellino, Ekbal Hussain, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3776-3776
Open Access | Times Cited: 8
Advances in the Application of In Silico ADMET Models – An Industry Perspective
Wenyi Wang, Fjodor Melnikov, Joe Napoli, et al.
(2024), pp. 495-535
Closed Access | Times Cited: 2
Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance
Lilian Gasser, Christoph Schür, Fernando Pérez‐Cruz, et al.
Environmental Science Advances (2024) Vol. 3, Iss. 8, pp. 1124-1138
Open Access | Times Cited: 2
From High Dimensions to Human Comprehension: Exploring Dimensionality Reduction for Chemical Space Visualization
Alexey A. Orlov, Tagir Akhmetshin, Dragos Horvath, et al.
(2024)
Open Access | Times Cited: 2
Designing molecules with autoencoder networks
Agnieszka Ilnicka, Gisbert Schneider
Nature Computational Science (2023) Vol. 3, Iss. 11, pp. 922-933
Closed Access | Times Cited: 5
Scikit-fingerprints: Easy and efficient computation of molecular fingerprints in Python
Jakub Adamczyk, Piotr Ludynia
SoftwareX (2024) Vol. 28, pp. 101944-101944
Open Access | Times Cited: 1
Improving VAE based molecular representations for compound property prediction
Ani Tevosyan, Lusine Khondkaryan, Hrant Khachatrian, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 8
PyChemFlow: an automated pre-processing pipeline in Python for reproducible machine learning on chemical data
Mario Lovrić, Tomislav Đuričić, Hussain Hussain, et al.
(2023)
Open Access | Times Cited: 4
Comparative analysis of an anthraquinone and chalcone derivatives-based virtual combinatorial library. A cheminformatics “proof-of-concept” study
Said Moshawih, Parham Hadikhani, Ayesha Fatima, et al.
Journal of Molecular Graphics and Modelling (2022) Vol. 117, pp. 108307-108307
Closed Access | Times Cited: 7
The Chemical Space of Marine Antibacterials: Diphenyl Ethers, Benzophenones, Xanthones, and Anthraquinones
José X. Soares, I Schmitz Afonso, Adaleta Omerbasic, et al.
Molecules (2023) Vol. 28, Iss. 10, pp. 4073-4073
Open Access | Times Cited: 2
Machine learning-based prediction of fish acute mortality: Implementation, interpretation, and regulatory relevance
Lilian Gasser, Christoph Schür, Fernando Pérez‐Cruz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Chemical Structure and Machine Learning Approach to Assess the Potential Bioactivity of Endogenous Metabolites and Their Association with Early Childhood Systemic Inflammation
Mario Lovrić, Tingting Wang, Mads Rønnow Staffe, et al.
Metabolites (2024) Vol. 14, Iss. 5, pp. 278-278
Open Access
Three-Dimensional Quantitative Structure–Activity Relationship Study of Transient Receptor Potential Vanilloid 1 Channel Antagonists Reveals Potential for Drug Design Purposes
Beatrice Gianibbi, Anna Visibelli, Giacomo Spinsanti, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 14, pp. 7951-7951
Open Access
A concise review towards a novel target specific multi-source unsupervised transfer learning technique for GDP estimation using CO2 emission data
Sandeep Kumar, Pranab K. Muhuri
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access
Allosteric Fluorescent Detection of Saccharides and Biomolecules in Water from a Boronic Acid Functionalized Arene Ruthenium Assembly Hosting Fluorescent Dyes
Alaa Maatouk, Thibaud Rossel, Bruno Therrien
Inorganics (2024) Vol. 13, Iss. 1, pp. 1-1
Open Access
Using bi-dimensional representations to understand patterns in COVID-19 blood exam data
Vitor P. Bezzan, Cleber Damião Rocco
Informatics in Medicine Unlocked (2021) Vol. 28, pp. 100828-100828
Open Access | Times Cited: 1
A chemical structure and machine learning approach to assess the potential bioactivity of endogenous metabolites and their association with early-childhood hs-CRP levels
Mario Lovrić, Tingting Wang, Mads Rønnow Staffe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Enhancing Semiempirical Quantum Mechanical Scoring with Machine Learning: a new scoring function that accounts for both the enthalpic and entropic contributions to the ligand binding free energy
Thomas Evangelidis, Ilektra‐Chara Giassa, Mario Lovrić
(2022)
Open Access
Enhancing Semiempirical Quantum Mechanical Scoring with Machine Learning: a new scoring function that accounts for both the enthalpic and entropic contributions to the ligand binding free energy
Thomas Evangelidis, Ilektra‐Chara Giassa, Mario Lovrić
(2022)
Open Access
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