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.

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Showing 1-25 of 35 citing articles:

Quantitative predictive theories through integrating quantum, statistical, equilibrium, and nonequilibrium thermodynamics
Zi‐Kui Liu
Journal of Physics Condensed Matter (2024) Vol. 36, Iss. 34, pp. 343003-343003
Open Access | Times Cited: 11

Genomic materials design: CALculation of PHAse Dynamics
Gregory B. Olson, Zi‐Kui Liu
Calphad (2023) Vol. 82, pp. 102590-102590
Open Access | Times Cited: 17

Thermodynamic modeling of Fe-Nb and Fe-Nb-Ni systems supported by first-principles calculations and diffusion-multiple measurements
Hui Sun, Chuangye Wang, Shun‐Li Shang, et al.
Acta Materialia (2024) Vol. 268, pp. 119747-119747
Closed Access | Times Cited: 7

Discovering melting temperature prediction models of inorganic solids by combining supervised and unsupervised learning
Vahe Gharakhanyan, Luke J. Wirth, José Antonio Garrido Torres, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 20
Open Access | Times Cited: 5

Optimal chemical reaction pathway for palm process residue recovery using Process Graph (P-graph) framework
Seen Ye Lim, Nishanth G. Chemmangattuvalappil, John Frederick D. Tapia, et al.
Computers & Chemical Engineering (2025) Vol. 194, pp. 109000-109000
Closed Access

Statistical phase evaluation approach for defect phase diagrams
Jing Yang, Ahmed Abdelkawy, Mira Todorova, et al.
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 5
Open Access

On the Resistance Coefficients for Heat Conduction in Anisotropic Bodies at the Limit of Linear Extended Thermodynamics
Devyani Thapliyal, Raj Kumar Arya, Dimitris S. Achilias, et al.
Entropy (2025) Vol. 27, Iss. 3, pp. 314-314
Open Access

On Gibbs Equilibrium and Hillert Nonequilibrium Thermodynamics
Zi‐Kui Liu
Journal of Phase Equilibria and Diffusion (2024)
Closed Access | Times Cited: 4

Machine learning aided high-throughput first-principles calculations to predict the formation enthalpy of σ phase
Yue Su, Jiong Wang
Calphad (2023) Vol. 82, pp. 102599-102599
Closed Access | Times Cited: 10

Al–Ni–Ti thermodynamic database from first-principles calculations
Arkapol Saengdeejing, Ryoji Sahara, Yoshiaki Toda
Calphad (2024) Vol. 84, pp. 102658-102658
Closed Access | Times Cited: 3

Perspectives Toward Damage‐Tolerant Nanostructure Ceramics
Meicen Fan, Tongqi Wen, Shile Chen, et al.
Advanced Science (2024) Vol. 11, Iss. 24
Open Access | Times Cited: 3

Boosting computational thermodynamic analysis of the CVD of SiC coating via machine learning
Bingquan Xu, Wei Huang, Junjun Wang, et al.
Journal of Crystal Growth (2024) Vol. 637-638, pp. 127727-127727
Closed Access | Times Cited: 2

Computationally Guided Synthesis of Battery Materials
Nathan J. Szymanski, Christopher J. Bartel
ACS Energy Letters (2024) Vol. 9, Iss. 6, pp. 2902-2911
Closed Access | Times Cited: 2

Artificial Intelligence and Financial Risk Mitigation
Raja Rehan, Auwal Adam Sa’ad, Razali Haron
(2024), pp. 53-79
Closed Access | Times Cited: 2

First-principles prediction of the Co–Al phase diagram including configurational, vibrational and magnetic contributions
Wei Shao, Huiying Hou, Sha Liu, et al.
Journal of Materials Research and Technology (2024) Vol. 31, pp. 1518-1534
Open Access | Times Cited: 1

Efficient structure-informed featurization and property prediction of ordered, dilute, and random atomic structures
Adam M. Krajewski, Jonathan W. Siegel, Zi‐Kui Liu
Computational Materials Science (2024) Vol. 247, pp. 113495-113495
Closed Access | Times Cited: 1

First-Principles Investigation of the Structural, Electronic, and Thermodynamic Properties of M3AC2 MAX Phases under Varying Temperature and Pressure
Rawaid Ali, Shakeel Shakeel, Muhammad Shahzad, et al.
Ceramics International (2024)
Closed Access | Times Cited: 1

Machine Learning-Aided High-Throughput First-Principles Calculations to Predict the Formation Energy of μ Phase
Yue Su, Jiong Wang, You Zou
ACS Omega (2023) Vol. 8, Iss. 40, pp. 37317-37328
Open Access | Times Cited: 3

Research progress in CALPHAD assisted metal additive manufacturing
Yaqing Hou, Xiaoqun Li, Weidong Cai, et al.
China Foundry (2024) Vol. 21, Iss. 4, pp. 295-310
Closed Access

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