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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:

Generalizing property prediction of ionic liquids from limited labeled data: a one-stop framework empowered by transfer learning
Guzhong Chen, Zhen Song, Zhiwen Qi, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 591-601
Open Access | Times Cited: 19

Showing 19 citing articles:

Capturing CO2 by ionic liquids and deep eutectic solvents: A comparative study based on multi-level absorbent screening
Jie Cheng, Kunchi Xie, Pengyu Guo, et al.
Chemical Engineering Science (2023) Vol. 281, pp. 119133-119133
Open Access | Times Cited: 28
Computer-Aided Molecular Design of Ionic Liquids as Advanced Process Media: A Review from Fundamentals to Applications
Zhen Song, Jiahui Chen, Jie Cheng, et al.
Chemical Reviews (2023) Vol. 124, Iss. 2, pp. 248-317
Closed Access | Times Cited: 25
Modeling the Viscosity of ChCl-Based Deep Eutectic Solvents and Their Mixtures with Water
Daili Peng, Zhen Yu, Ahmad Alhadid, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 3, pp. 1623-1633
Open Access | Times Cited: 6
Perspectives and Outlook of E-fuels: Production, Cost Effectiveness, and Applications
Kuangyi Shi, Bin Guan, Zhongqi Zhuang, et al.
Energy & Fuels (2024) Vol. 38, Iss. 9, pp. 7665-7692
Closed Access | Times Cited: 6
Systematic screening ionic liquid as extractant for benzene-cyclohexane separation
Chuxin Qi, Zhixiang Zhang, Lifang Chen, et al.
Separation and Purification Technology (2024) Vol. 345, pp. 127168-127168
Closed Access | Times Cited: 5
Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
A critical methodological revisit on group-contribution based property prediction of ionic liquids with machine learning
P.-L. Cao, Jiahui Chen, Guzhong Chen, et al.
Chemical Engineering Science (2024) Vol. 298, pp. 120395-120395
Closed Access | Times Cited: 3
Multi-criteria computational screening of [BMIM][DCA]@MOF composites for CO2 capture
Mengjia Sheng, Xiang Zhang, Hongye Cheng, et al.
Green Chemical Engineering (2024)
Open Access | Times Cited: 3
Enhancing aromatics extraction by double salt ionic liquids: Rational screening‐validation and mechanistic insights
Kunchi Xie, Jiahui Chen, Jie Cheng, et al.
AIChE Journal (2023) Vol. 70, Iss. 2
Open Access | Times Cited: 10
Rational screening of ionic liquids as phase transfer catalysts for aromatic O- and S-glycosidations examplified by acetobromo-alpha-D-galactose with phenolic compound
Chuxin Qi, Lifang Chen, Zhiwen Qi
Journal of Molecular Liquids (2024) Vol. 403, pp. 124887-124887
Closed Access | Times Cited: 3
Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models
Xiuxian Chen, Guzhong Chen, Kunchi Xie, et al.
Green Chemical Engineering (2024)
Open Access | Times Cited: 2
Graph Neural Networks and Structural Information on Ionic Liquids: A Cheminformatics Study on Molecular Physicochemical Property Prediction
Karol Baran, Adam Kloskowski
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 49, pp. 10542-10555
Open Access | Times Cited: 6
Multilevel screening of ionic liquid absorbents for the capture of low-content styrene VOC
Xiangyi Kong, Jie Cheng, Wei Meng, et al.
Process Safety and Environmental Protection (2024) Vol. 203, pp. 742-749
Closed Access | Times Cited: 1
Experimental and molecular insights into ionic liquid-based recovery of valuable metals from spent lithium-ion batteries
Yu Guo, Xinhe Zhang, Chengna Dai, et al.
Chemical Engineering Science (2024) Vol. 302, pp. 120895-120895
Closed Access | Times Cited: 1
Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access | Times Cited: 3
Machine Learning‐Aided Rational Screening of Task‐Specific Ionic Liquids
Ruofan Gu, Zhen Song
(2024), pp. 79-103
Closed Access
developing deep learning-based large-scale organic reaction classification model via sigma-profiles
Wenlong Wang, Chenyang Xu, Jian Du, et al.
Green Chemical Engineering (2024)
Open Access
Enhancing aromatics extraction by double salt ionic liquids: rational screening-validation and mechanistic insights
Kunchi Xie, Jiahui Chen, Ruizhuan Wang, et al.
Authorea (Authorea) (2023)
Open Access
Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access
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