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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:

Predictive modeling on the surface tension and viscosity of ionic liquid-organic solvent mixtures via machine learning
Yang Lei, You Shu, Xuegang Liu, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 151, pp. 105140-105140
Closed Access | Times Cited: 15

Showing 15 citing articles:

CO Concentration prediction in E-nose based on MHA-MSCINet
Haikui Ling, Zhengyang Zhu, Yiyi Zhang, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 169, pp. 105981-105981
Closed Access | Times Cited: 1
Density, viscosity and CO2 solubility modeling of deep eutectic solvents from various neural network approaches
S.M. Hosseini, Mariano Pierantozzi
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 169, pp. 105988-105988
Closed Access | Times Cited: 1
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
Recent Advances in the Modeling of Ionic Liquids Using Artificial Neural Networks
Adrian Racki, Kamil Paduszyński
Journal of Chemical Information and Modeling (2025)
Open Access
Modeling Study on the Density and Viscosity of Ionic Liquid–Organic Solvent–Water Ternary Mixtures
Yang Lei, Sulei Ma, Lei Du, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 23, pp. 10444-10455
Closed Access | Times Cited: 3
Machine Learning for Predicting and Optimizing Physicochemical Properties of Deep Eutectic Solvents: Review and Perspectives
Francisco Javier López-Flores, César Ramírez‐Márquez, J. Betzabe González‐Campos, et al.
Industrial & Engineering Chemistry Research (2024)
Closed Access | Times Cited: 3
Modeling and estimation of water activity for the ionic-liquid-based aqueous ternary systems by smart paradigms
Ehsan Davoudi, Abolhasan Ameri
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 157, pp. 105396-105396
Closed Access | Times Cited: 2
Interpretable Feedforward Neural Network and XGBoost-Based Algorithms to Predict CO2 Solubility in Ionic Liquids
Ao Yang, Shirui Sun, Hongfu Mi, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 18, pp. 8293-8305
Closed Access | Times Cited: 2
Review of modeling schemes and machine learning algorithms for fluid rheological behavior analysis
Irfan Bahiuddin, Saiful Amri Mazlan, Fitrian Imaduddin, et al.
Journal of the Mechanical Behavior of Materials (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 1
A color prediction model for mending materials of the Yuquan Iron Pagoda in China based on machine learning
Xuegang Liu, Yuhang Liu, K. Wang, et al.
Heritage Science (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Theoretical and computational investigations on estimation of viscosity of ionic liquids for green adsorbent: Effect of temperature and composition
Zhengqing Han
Case Studies in Thermal Engineering (2024) Vol. 65, pp. 105703-105703
Closed Access | Times Cited: 1
A color prediction model for mending materials of the Yuquan Iron Pagoda based on machine learning
Xuegang Liu, Yuhang Liu, K. Wang, et al.
Research Square (Research Square) (2024)
Open Access
Surface tension prediction of pure organic components: An artificial neural network approach
Lucas Queiroz, Vinícius Ferreira da Silva Bueno, Hyago Braga dos Santos, et al.
Fuel (2024) Vol. 380, pp. 133096-133096
Closed Access
Prediction for the recycle of phosphate tailings in enhanced gravity field based on machine learning and interpretable analysis
Ling Zhang, Haochun Hou, Yang Lu, et al.
Waste Management (2024) Vol. 190, pp. 113-121
Closed Access
AI for Property Modeling, Solvent Tailoring, and Process Design
Yuqiu Chen
(2024), pp. 1-22
Closed Access
Computational models based on machine learning and validation for predicting ionic liquids viscosity in mixtures
Bader Huwaimel, Jowaher Alanazi, Muteb Alanazi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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