OpenAlex Citation Counts

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:

Solubility Characteristics of Acetaminophen and Phenacetin in Binary Mixtures of Aqueous Organic Solvents: Experimental and Deep Machine Learning Screening of Green Dissolution Media
Piotr Cysewski, Tomasz Jeliński, Maciej Przybyłek, et al.
Pharmaceutics (2022) Vol. 14, Iss. 12, pp. 2828-2828
Open Access | Times Cited: 15

Showing 15 citing articles:

Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions
Tomasz Jeliński, Maciej Przybyłek, Rafał Różalski, et al.
Polymers in Medicine (2024) Vol. 54, Iss. 1, pp. 15-25
Open Access | Times Cited: 5

Deep Eutectic Solvents as Agents for Improving the Solubility of Edaravone: Experimental and Theoretical Considerations
Tomasz Jeliński, Maciej Przybyłek, Magdalena Mianowana, et al.
Molecules (2024) Vol. 29, Iss. 6, pp. 1261-1261
Open Access | Times Cited: 4

Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation
Francesca Cenci, Samir Diab, Paola Ferrini, et al.
International Journal of Pharmaceutics (2024) Vol. 660, pp. 124233-124233
Open Access | Times Cited: 4

Exploration of the Solubility Hyperspace of Selected Active Pharmaceutical Ingredients in Choline- and Betaine-Based Deep Eutectic Solvents: Machine Learning Modeling and Experimental Validation
Piotr Cysewski, Tomasz Jeliński, Maciej Przybyłek
Molecules (2024) Vol. 29, Iss. 20, pp. 4894-4894
Open Access | Times Cited: 4

Comprehensive applications of the artificial intelligence technology in new drug research and development
Hongyu Chen, Dong Xin Lu, Ziyi Xiao, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3

Finding the Right Solvent: A Novel Screening Protocol for Identifying Environmentally Friendly and Cost-Effective Options for Benzenesulfonamide
Piotr Cysewski, Tomasz Jeliński, Maciej Przybyłek
Molecules (2023) Vol. 28, Iss. 13, pp. 5008-5008
Open Access | Times Cited: 9

Enhancing the Bioavailability of Poorly Soluble Drugs
Rodolfo Pinal
Pharmaceutics (2024) Vol. 16, Iss. 6, pp. 758-758
Open Access | Times Cited: 2

Intermolecular Interactions as a Measure of Dapsone Solubility in Neat Solvents and Binary Solvent Mixtures
Piotr Cysewski, Maciej Przybyłek, Tomasz Jeliński
Materials (2023) Vol. 16, Iss. 18, pp. 6336-6336
Open Access | Times Cited: 7

Exploring the Solubility Limits of Edaravone in Neat Solvents and Binary Mixtures: Experimental and Machine Learning Study
Maciej Przybyłek, Tomasz Jeliński, Magdalena Mianowana, et al.
Molecules (2023) Vol. 28, Iss. 19, pp. 6877-6877
Open Access | Times Cited: 5

Solvent Replacement Strategies for Processing Pharmaceuticals and Bio-Related Compounds—A Review
Jia Lin Lee, Gun Hean Chong, Masaki Ota, et al.
Liquids (2024) Vol. 4, Iss. 2, pp. 352-381
Open Access | Times Cited: 1

Solubility Measurement, Model Correlation, and Solvent Effect Analysis of Spectinomycin Dihydrochloride Pentahydrate in Three Binary Solvents
Dechen Wang, Yu Zhou, Chunyan Liu, et al.
Journal of Solution Chemistry (2024) Vol. 53, Iss. 10, pp. 1419-1441
Closed Access

Data-Driven Point Adjusted Jouyban-Acree-Artificial Neural Network Hybrid Model for Predicting Solubility of Active Pharmaceutical Ingredients in Binary Solvent Mixtures
Yang Zhao, Wei Li, Chenyang Zhao, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 38, pp. 16529-16544
Open Access

ADMET and Solubility Analysis of New 5-Nitroisatine-Based Inhibitors of CDK2 Enzymes
Przemysław Czeleń, Tomasz Jeliński, Agnieszka Skotnicka, et al.
Biomedicines (2023) Vol. 11, Iss. 11, pp. 3019-3019
Open Access | Times Cited: 1

Prediction of Paracetamol Solubility in Binary Solvents Using Reichardt’s Polarity Parameter Combined Model
Elaheh Rahimpour, Abolghasem Jouyban
Liquids (2023) Vol. 3, Iss. 4, pp. 512-521
Open Access

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Requested Article:

Showing 15 citing articles:

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