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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:

Inverse QSPR/QSAR Analysis for Chemical Structure Generation (fromytox)
Tomoyuki Miyao, Hiromasa Kaneko, Kimito Funatsu
Journal of Chemical Information and Modeling (2016) Vol. 56, Iss. 2, pp. 286-299
Closed Access | Times Cited: 105

Showing 26-50 of 105 citing articles:

Artificial intelligence facilitates drug design in the big data era
Liangliang Wang, Junjie Ding, Li Pan, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 194, pp. 103850-103850
Closed Access | Times Cited: 58
Computer-Aided Drug Discovery and Design: Recent Advances and Future Prospects
Alan Talevi
Methods in molecular biology (2023), pp. 1-20
Closed Access | Times Cited: 17
Laying the experimental foundation for corrosion inhibitor discovery through machine learning
Can Özkan, Lisa Sahlmann, Christian Feiler, et al.
npj Materials Degradation (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 6
Physicochemical significance of ChemDraw and Dragon computed parameters: correlation studies in the sets with aliphatic and aromatic substituents
Anil K. Saxena, Ankit Kumar Gupta, Karanpreet Singh Bhatia
Journal of Mathematical Chemistry (2024)
Closed Access | Times Cited: 5
Computer-Aided Drug Design: An Overview
Alan Talevi
Methods in molecular biology (2018), pp. 1-19
Closed Access | Times Cited: 55
Deep learning and generative methods in cheminformatics and chemical biology: navigating small molecule space intelligently
Douglas B. Kell, Soumitra Samanta, Neil Swainston
Biochemical Journal (2020) Vol. 477, Iss. 23, pp. 4559-4580
Open Access | Times Cited: 46
Mol2Context-vec: learning molecular representation from context awareness for drug discovery
Qiujie Lv, Guanxing Chen, Lu Zhao, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 37
Machine Learning in Chemoinformatics and Medicinal Chemistry
Raquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
Annual Review of Biomedical Data Science (2022) Vol. 5, Iss. 1, pp. 43-65
Closed Access | Times Cited: 24
Quadratic descriptors and reduction methods in a two-layered model for compound inference
Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
A unified approach to inferring chemical compounds with the desired aqueous solubility
Madeeha Batool, Naveed Ahmed Azam, Jianshen Zhu, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
The History and Development of Quantitative Structure-Activity Relationships (QSARs)
John C. Dearden
International Journal of Quantitative Structure-Property Relationships (2017) Vol. 2, Iss. 2, pp. 36-46
Closed Access | Times Cited: 42
Synthesis of Lithium-ion Conducting Polymers Designed by Machine Learning-based Prediction and Screening
Kan Hatakeyama‐Sato, Toshiki Tezuka, Yoshinori Nishikitani, et al.
Chemistry Letters (2018) Vol. 48, Iss. 2, pp. 130-132
Open Access | Times Cited: 40
Correlation between molecular features and electrochemical properties using an artificial neural network
Fiona Fang Chen, Michael Breedon, Paul White, et al.
Materials & Design (2016) Vol. 112, pp. 410-418
Closed Access | Times Cited: 38
Generative topographic mapping in drug design
Dragos Horvath, Gilles Marcou, Alexandre Varnek
Drug Discovery Today Technologies (2019) Vol. 32-33, pp. 99-107
Open Access | Times Cited: 38
Inverse‐QSPR for de novo Design: A Review
Philippe Gantzer, Benoît Creton, Carlos Nieto‐Draghi
Molecular Informatics (2019) Vol. 39, Iss. 4
Closed Access | Times Cited: 35
Generative Model for Proposing Drug Candidates Satisfying Anticancer Properties Using a Conditional Variational Autoencoder
Sunghoon Joo, Min Soo Kim, Jaeho Yang, et al.
ACS Omega (2020) Vol. 5, Iss. 30, pp. 18642-18650
Open Access | Times Cited: 29
A Review on Deep Learning-driven Drug Discovery: Strategies, Tools and Applications
S. Sumathi, Kanagaraj Suganya, Kandasamy Swathi, et al.
Current Pharmaceutical Design (2023) Vol. 29, Iss. 13, pp. 1013-1025
Closed Access | Times Cited: 9
Analyzing the role of reducible molecular descriptors and thermodynamic aspects of anti-tuberculosis drugs via QSPR study
Sajid Mahboob Alam, Niat Nigar, Muhammad Waheed Rasheed, et al.
Frontiers in Physics (2024) Vol. 12
Open Access | Times Cited: 3
iQSPR in XenonPy: A Bayesian Molecular Design Algorithm
Stephen Wu, G. Lambard, Chang Liu, et al.
Molecular Informatics (2019) Vol. 39, Iss. 1-2
Open Access | Times Cited: 29
Bayesian Algorithm for Retrosynthesis
Zhongliang Guo, Stephen Wu, Mitsuru Ohno, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 10, pp. 4474-4486
Open Access | Times Cited: 25
Toward diverse polymer property prediction using transfer learning
Elaheh Kazemi-Khasragh, C. González, Maciej Harańczyk
Computational Materials Science (2024) Vol. 244, pp. 113206-113206
Open Access | Times Cited: 2
Data Visualization, Regression, Applicability Domains and Inverse Analysis Based on Generative Topographic Mapping
Hiromasa Kaneko
Molecular Informatics (2018) Vol. 38, Iss. 3
Closed Access | Times Cited: 21
De novo Molecular Design with Generative Long Short-term Memory
Francesca Grisoni, Gisbert Schneider
CHIMIA International Journal for Chemistry (2019) Vol. 73, Iss. 12, pp. 1006-1006
Open Access | Times Cited: 20
Machine Learning in Drug Design
Ola Engkvist, Lewis Mervin, Hongming Chen, et al.
The Royal Society of Chemistry eBooks (2023), pp. 231-264
Closed Access | Times Cited: 6
Learning from the Machine: Uncovering Sustainable Nanoparticle Design Rules
Clyde A. Daly, Rigoberto Hernandez
The Journal of Physical Chemistry C (2020) Vol. 124, Iss. 24, pp. 13409-13420
Closed Access | Times Cited: 16

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