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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 with physicochemical relationships: solubility prediction in organic solvents and water
Samuel Boobier, David R. J. Hose, A. John Blacker, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 214

Showing 26-50 of 214 citing articles:

Computational Analysis of Stilbenes as Potential Multi-Targeted Therapeutics for Alzheimer’s Disease
Seda Şirin
Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2025) Vol. 8, Iss. 1, pp. 145-166
Closed Access
Systems level roadmap for solvent recovery and reuse in industries
Emmanuel Apau Aboagye, John D. Chea, Kirti M. Yenkie
iScience (2021) Vol. 24, Iss. 10, pp. 103114-103114
Open Access | Times Cited: 42
Machine learning for flow batteries: opportunities and challenges
Tianyu Li, Changkun Zhang, Xianfeng Li
Chemical Science (2022) Vol. 13, Iss. 17, pp. 4740-4752
Open Access | Times Cited: 33
Advancing Rare-Earth Separation by Machine Learning
Tongyu Liu, Katherine R. Johnson, Santa Jansone‐Popova, et al.
JACS Au (2022) Vol. 2, Iss. 6, pp. 1428-1434
Open Access | Times Cited: 31
SolvBERT for solvation free energy and solubility prediction: a demonstration of an NLP model for predicting the properties of molecular complexes
Jiahui Yu, Chengwei Zhang, Yingying Cheng, et al.
Digital Discovery (2023) Vol. 2, Iss. 2, pp. 409-421
Open Access | Times Cited: 18
Multi-order graph attention network for water solubility prediction and interpretation
Sangho Lee, Hyun‐Woo Park, Chihyeon Choi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Building Machine Learning Small Molecule Melting Points and Solubility Models Using CCDC Melting Points Dataset
Xiangwei Zhu, Valery Polyakov, Krishna Bajjuri, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2948-2959
Closed Access | Times Cited: 15
Will we ever be able to accurately predict solubility?
Pierre Llompart, Claire Minoletti, Shamkhal Baybekov, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Prediction of Drug-like Compounds Solubility in Supercritical Carbon Dioxide: A Comparative Study between Classical Density Functional Theory and Machine Learning Approaches
Dmitriy M. Makarov, Nikolai N. Kalikin, Yury A. Budkov
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 3, pp. 1589-1603
Closed Access | Times Cited: 5
Delocalizing Excitation for Highly‐Active Organic Photovoltaic Catalysts
Zhenzhen Zhang, Chaoying Xu, Qianlu Sun, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 26
Closed Access | Times Cited: 5
Artificial Intelligence Assisted Pharmaceutical Crystallization
Zuoxuan Zhu, Yuan Zhang, Zhixuan Wang, et al.
Crystal Growth & Design (2024) Vol. 24, Iss. 10, pp. 4245-4270
Closed Access | Times Cited: 5
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: 5
PharmaBench: Enhancing ADMET benchmarks with large language models
Zhangming Niu, Xianglu Xiao, Wenfan Wu, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications
Zilong Yin, Haoyu Wang, Bin Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107388-107388
Closed Access
Assisted Energetic Material Property Prediction through Advanced Transfer Learning with Graph Neural Networks
Jianjian Hu, Jun-Xuan Jin, Xiao‐Jing Hou, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
Hybrid Semi-mechanistic and Machine Learning Solubility Regression Modeling for Crystallization Process Development
Gustavo Lunardon Quilló, Satyajeet Bhonsale, A. Collas, et al.
Crystal Growth & Design (2025)
Closed Access
A Cheminformatics-based Methodology to Incorporate Safety Considerations during Accelerated Process Development
Subhadra Devi Saripalli, Rajagopalan Srinivasan
Computers & Chemical Engineering (2025), pp. 109066-109066
Closed Access
Leveraging spatial charge descriptor in deep learning models: Toward highly accurate prediction of vapor-liquid equilibrium
H. H. Hung, Ying‐Chieh Hung
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 171, pp. 106054-106054
Closed Access
Solvent Screening for Separation Processes Using Machine Learning and High-Throughput Technologies
Justin P. Edaugal, Difan Zhang, Dupeng Liu, et al.
Chem & Bio Engineering (2025)
Open Access
Novel Computational Approach by Combining Machine Learning with Molecular Thermodynamics for Predicting Drug Solubility in Solvents
Kai Ge, Yuanhui Ji
Industrial & Engineering Chemistry Research (2021) Vol. 60, Iss. 25, pp. 9259-9268
Closed Access | Times Cited: 34
Machine Learning-Based Models with High Accuracy and Broad Applicability Domains for Screening PMT/vPvM Substances
Qiming Zhao, Yang Yu, Yuchen Gao, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 24, pp. 17880-17889
Closed Access | Times Cited: 26
Capturing molecular interactions in graph neural networks: a case study in multi-component phase equilibrium
Shiyi Qin, Shengli Jiang, Jianping Li, et al.
Digital Discovery (2022) Vol. 2, Iss. 1, pp. 138-151
Open Access | Times Cited: 25
GRAN3SAT: Creating Flexible Higher-Order Logic Satisfiability in the Discrete Hopfield Neural Network
Yuan Gao, Yueling Guo, Nurul Atiqah Romli, et al.
Mathematics (2022) Vol. 10, Iss. 11, pp. 1899-1899
Open Access | Times Cited: 24
Quantum chemical calculations for reaction prediction in the development of synthetic methodologies
Hiroki Hayashi, Satoshi Maeda, Tsuyoshi Mita
Chemical Science (2023) Vol. 14, Iss. 42, pp. 11601-11616
Open Access | Times Cited: 13
E(n) Equivariant Graph Neural Network for Learning Interactional Properties of Molecules
Kieran Nehil-Puleo, Co D. Quach, Nicholas C. Craven, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 4, pp. 1108-1117
Open Access | Times Cited: 4

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