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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:

Bridging the Gap between Differential Mobility, Log S, and Log P Using Machine Learning and SHAP Analysis
Cailum Stienstra, Christian Ieritano, Alexander Haack, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 27, pp. 10309-10321
Closed Access | Times Cited: 12

Showing 12 citing articles:

Vial-Coated Thin Film Microextraction for Perfluoroalkyl Carboxylic Acids (PFCAs) Determination in Water by GC-MS
J. Mabel Luna-Díaz, Luz O. Leal-Quezada, Laura Ferrer, et al.
Advances in Sample Preparation (2025), pp. 100147-100147
Open Access
Sensitive lateral flow immunoassay based on integrated green pretreatment for detection of three mycotoxins in maize and wheat
L. Y. Zhang, Gan Zhang, Jiawei Chen, et al.
Food Bioscience (2025), pp. 105908-105908
Closed Access
Machine Learning-Assisted Exploration and Identification of Aqueous Dispersants in the Vast Diversity of Organic Chemicals
Hirokuni Jintoku, Don N. Futaba
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 9, pp. 11800-11808
Closed Access | Times Cited: 1
Machine Learning Accelerating the Condition Screening of Ceftriaxone Sodium Anaerobic Co-Metabolic Degradation
Hao Chen, Xinyuan Cao, Jinlong Wang, et al.
ACS ES&T Engineering (2024) Vol. 4, Iss. 4, pp. 947-955
Closed Access | Times Cited: 1
GA-XGBoost, an explainable AI technique, for analysis of thrombin inhibitory activity of diverse pool of molecules and supported by X-ray
Vijay H. Masand, Sami A. Al‐Hussain, Abdullah Yahya Abdullah Alzahrani, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 253, pp. 105197-105197
Closed Access | Times Cited: 1
Towards the prediction of drug solubility in binary solvent mixtures at various temperatures using machine learning
Zeqing Bao, Gary Tom, Austin Cheng, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Towards the Prediction of Drug Solubility in Binary Solvent Mixtures at Various Temperatures Using Machine Learning
Zeqing Bao, Gary Tom, Austin Cheng, et al.
Research Square (Research Square) (2024)
Open Access
Ensemble Learning Approach Reveals Significant Clinical Attributes from Real-World Breast Cancer Cases
Angga Aditya Permana, Muhammad Fahrury Romdendine
Jurnal Teknologi Terapan G-Tech (2024) Vol. 8, Iss. 2, pp. 825-834
Open Access
Insights into modifiers effects in differential mobility spectrometry: A data science approach for metabolomics and peptidomics
S. Stepanović, Lysi Ekmekciu, Bandar Alghanem, et al.
Journal of Mass Spectrometry (2024) Vol. 59, Iss. 6
Open Access
On the Arrival Time Distribution of Reacting Systems in Ion Mobility Spectrometry
Alexander Haack, Christoph Schaefer, Stefan Zimmermann
Analytical Chemistry (2024)
Open Access
Integration of supervised machine learning for predictive evaluation of chemical looping hydrogen production and storage system
Renge Li, Jimin Zeng, Yintao Wei, et al.
Sustainable Energy & Fuels (2024)
Closed Access
Synergizing GA-XGBoost and QSAR Modeling: Breaking Down Activity Cliffs in HDAC1 Inhibitors
Rahul D. Jawarkar, Suraj N. Mali, Prashant K. Deshmukh, et al.
Journal of Molecular Graphics and Modelling (2024) Vol. 135, pp. 108915-108915
Closed Access
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