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:

High-Throughput Computational Screening of Perovskites for Thermochemical Water Splitting Applications
Antoine Emery, James E. Saal, Scott Kirklin, et al.
Chemistry of Materials (2016) Vol. 28, Iss. 16, pp. 5621-5634
Open Access | Times Cited: 237

Showing 1-25 of 237 citing articles:

Nanoparticles: Properties, applications and toxicities
Ibrahim Khan, Khalid Saeed, Idrees Khan
Arabian Journal of Chemistry (2017) Vol. 12, Iss. 7, pp. 908-931
Open Access | Times Cited: 5666

Machine learning in materials informatics: recent applications and prospects
Rampi Ramprasad, Rohit Batra, Ghanshyam Pilania, et al.
npj Computational Materials (2017) Vol. 3, Iss. 1
Open Access | Times Cited: 1433

QSAR without borders
Eugene Muratov, Jürgen Bajorath, Robert P. Sheridan, et al.
Chemical Society Reviews (2020) Vol. 49, Iss. 11, pp. 3525-3564
Open Access | Times Cited: 625

Solar Energy on Demand: A Review on High Temperature Thermochemical Heat Storage Systems and Materials
Alfonso J. Carrillo, José González‐Aguilar, Manuel Romero, et al.
Chemical Reviews (2019) Vol. 119, Iss. 7, pp. 4777-4816
Open Access | Times Cited: 464

Machine Learning for Catalysis Informatics: Recent Applications and Prospects
Takashi Toyao, Zen Maeno, Satoru Takakusagi, et al.
ACS Catalysis (2019) Vol. 10, Iss. 3, pp. 2260-2297
Closed Access | Times Cited: 461

A General Two‐Step Strategy–Based High‐Throughput Screening of Single Atom Catalysts for Nitrogen Fixation
Chongyi Ling, Yixin Ouyang, Qiang Li, et al.
Small Methods (2018) Vol. 3, Iss. 9
Closed Access | Times Cited: 383

Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations
Logan Ward, Ruoqian Liu, Amar Krishna, et al.
Physical review. B./Physical review. B (2017) Vol. 96, Iss. 2
Open Access | Times Cited: 357

Inverse design in search of materials with target functionalities
Alex Zunger
Nature Reviews Chemistry (2018) Vol. 2, Iss. 4
Closed Access | Times Cited: 339

Perovskite oxides – a review on a versatile material class for solar-to-fuel conversion processes
Markus Kubicek, Alexander H. Bork, Jennifer L. M. Rupp
Journal of Materials Chemistry A (2017) Vol. 5, Iss. 24, pp. 11983-12000
Closed Access | Times Cited: 278

Machine learning for composite materials
Chun‐Teh Chen, Grace X. Gu
MRS Communications (2019) Vol. 9, Iss. 2, pp. 556-566
Open Access | Times Cited: 261

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
Prasanna V. Balachandran, Benjamin A. Kowalski, Alp Sehirlioglu, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 250

Recent Progress and Prospects in Catalytic Water Treatment
Vasile I. Pârvulescu, Florence Epron, Hermenegildo Garcı́a, et al.
Chemical Reviews (2021) Vol. 122, Iss. 3, pp. 2981-3121
Open Access | Times Cited: 239

Predicting the thermodynamic stability of perovskite oxides using machine learning models
Wei Li, Ryan Jacobs, Dane Morgan
Computational Materials Science (2018) Vol. 150, pp. 454-463
Open Access | Times Cited: 201

The geometric blueprint of perovskites
Marina R. Filip, Feliciano Giustino
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 21, pp. 5397-5402
Open Access | Times Cited: 196

Performance of DFT+UApproaches in the Study of Catalytic Materials
Marçal Capdevila‐Cortada, Zbigniew Łodziana, Núria López
ACS Catalysis (2016) Vol. 6, Iss. 12, pp. 8370-8379
Closed Access | Times Cited: 175

Toward Effective Utilization of Methane: Machine Learning Prediction of Adsorption Energies on Metal Alloys
Takashi Toyao, Keisuke Suzuki, Shoma Kikuchi, et al.
The Journal of Physical Chemistry C (2018) Vol. 122, Iss. 15, pp. 8315-8326
Closed Access | Times Cited: 170

Predictions of new ABO3 perovskite compounds by combining machine learning and density functional theory
Prasanna V. Balachandran, Antoine Emery, J. E. Gubernatis, et al.
Physical Review Materials (2018) Vol. 2, Iss. 4
Open Access | Times Cited: 168

Solar fuels production: Two-step thermochemical cycles with cerium-based oxides
Youjun Lu, Liya Zhu, Christos Agrafiotis, et al.
Progress in Energy and Combustion Science (2019) Vol. 75, pp. 100785-100785
Closed Access | Times Cited: 163

Materials informatics: From the atomic-level to the continuum
J. M. Rickman, Turab Lookman, Sergei V. Kalinin
Acta Materialia (2019) Vol. 168, pp. 473-510
Open Access | Times Cited: 159

Materials design of perovskite solid solutions for thermochemical applications
Josua Vieten, Brendan Bulfin, Patrick Huck, et al.
Energy & Environmental Science (2019) Vol. 12, Iss. 4, pp. 1369-1384
Closed Access | Times Cited: 152

Recent development of perovskite oxide-based electrocatalysts and their applications in low to intermediate temperature electrochemical devices
Mengfei Zhang, Georgina Jeerh, Peimiao Zou, et al.
Materials Today (2021) Vol. 49, pp. 351-377
Open Access | Times Cited: 148

Factors Governing Oxygen Vacancy Formation in Oxide Perovskites
Robert B. Wexler, Gopalakrishnan Sai Gautam, Ellen B. Stechel, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 33, pp. 13212-13227
Open Access | Times Cited: 127

Data‐Driven Materials Innovation and Applications
Zhuo Wang, Zhehao Sun, Hang Yin, et al.
Advanced Materials (2022) Vol. 34, Iss. 36
Closed Access | Times Cited: 108

Density Functional Theory Calculations of Oxygen Vacancy Formation and Subsequent Molecular Adsorption on Oxide Surfaces
Yoyo Hinuma, Takashi Toyao, Takashi Kamachi, et al.
The Journal of Physical Chemistry C (2018) Vol. 122, Iss. 51, pp. 29435-29444
Open Access | Times Cited: 159

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