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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:

Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS
Tengyi Zhu, Ying Chen, Cuicui Tao
The Science of The Total Environment (2022) Vol. 857, pp. 159448-159448
Closed Access | Times Cited: 10

Showing 10 citing articles:

Interactive effects of irrigation and N fertilization management on fruit yield, quality and water-N productivity of greenhouse cherry tomato
Haidong Wang, Yang Qu, Zujie Wen, et al.
Scientia Horticulturae (2024) Vol. 328, pp. 112895-112895
Closed Access | Times Cited: 10
Sustainable and efficient separation of ternary multi-azeotropic mixture butanone/ethanol/water based on the intensified reactive extractive distillation: process design, multi-objective optimization, and multi-criteria decision-making
Z. Li, Xun Huang, Lanchi Wang, et al.
Separation and Purification Technology (2024), pp. 129694-129694
Closed Access | Times Cited: 5
Assessment of watershed health, integrating environmental, social, and climate change criteria into a fuzzy logic framework
Samuel Rodríguez Flores, Carlos Alfonso Muñoz Robles, Antonio Quevedo, et al.
The Science of The Total Environment (2025) Vol. 960, pp. 178316-178316
Closed Access
Application of machine learning in polyimide structure design and property regulation
Wenjia Huo, Haiyue Wang, Liying Guo, et al.
High Performance Polymers (2025)
Closed Access
Unlocking prediction and optimal design of CO2 methanation catalysts via active learning-enhanced interpretable ensemble learning
Qingchun Yang, Runjie Bao, Zhao Wang, et al.
Chemical Engineering Journal (2025), pp. 161154-161154
Closed Access
QSPR-based model extrapolation prediction of enthalpy of solvation
Xinliang Yu, William E. Acree
Journal of Molecular Liquids (2023) Vol. 376, pp. 121455-121455
Closed Access | Times Cited: 8
On the Development of Descriptor-Based Machine Learning Models for Thermodynamic Properties: Part 1—From Data Collection to Model Construction: Understanding of the Methods and Their Effects
Cindy Trinh, Youssef Tbatou, Silvia Lasala, et al.
Processes (2023) Vol. 11, Iss. 12, pp. 3325-3325
Open Access | Times Cited: 5
International container intermodal competitiveness: An empirical study from Chinese hub ports
Hui Meng, Haonan Xu, Ying Cui, et al.
Ocean & Coastal Management (2024) Vol. 254, pp. 107178-107178
Closed Access | Times Cited: 1
Machine learning-assisted data-driven optimization and understanding of the multiple stage process for extraction of polysaccharides and secondary metabolites from natural products
Jiamu Ma, Jianling Yao, Xueyang Ren, et al.
Green Chemistry (2023) Vol. 25, Iss. 8, pp. 3057-3068
Closed Access | Times Cited: 3
Applicability domains of neural networks for toxicity prediction
Efrén Pérez‐Santín, Luis de‐la‐Fuente‐Valentín, Mariano González García, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 11, pp. 27858-27900
Open Access | Times Cited: 2
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