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:

Band gap predictions of double perovskite oxides using machine learning
Anjana Talapatra, Blas P. Uberuaga, Christopher R. Stanek, et al.
Communications Materials (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A review of chalcogenide-based perovskites as the next novel materials: Solar cell and optoelectronic applications, catalysis and future perspectives
George G. Njema, Joshua K. Kibet
Next Nanotechnology (2024) Vol. 7, pp. 100102-100102
Closed Access | Times Cited: 17

MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 29

Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 12

Machine-Learned Kohn–Sham Hamiltonian Mapping for Nonadiabatic Molecular Dynamics
Mohammad Shakiba, Alexey V. Akimov
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 8, pp. 2992-3007
Closed Access | Times Cited: 10

Specific surface area (SSA) of perovskites with uncertainty estimation approach
Zied Hosni, Sofiene Achour, Fatma Saâdi, et al.
Computational Materials Science (2025) Vol. 249, pp. 113668-113668
Open Access | Times Cited: 1

Methods and applications of machine learning in computational design of optoelectronic semiconductors
Xiaoyu Yang, Kun Zhou, Xin He, et al.
Science China Materials (2024) Vol. 67, Iss. 4, pp. 1042-1081
Closed Access | Times Cited: 7

Predicting band gaps of ABN3 perovskites: an account from machine learning and first-principle DFT studies
Swarup Ghosh, Joydeep Chowdhury
RSC Advances (2024) Vol. 14, Iss. 9, pp. 6385-6397
Open Access | Times Cited: 6

Protonic ceramics Ba5In2–Y Al2ZrO13 with the perovskite-related hexagonal structure for solid oxide fuel cells: Synthesis, optical band gap and transport properties
Roman D. Andreev, Д. В. Корона, Maxim I. Vlasov, et al.
Ceramics International (2024) Vol. 50, Iss. 20, pp. 40306-40320
Closed Access | Times Cited: 5

Engineering the two-dimensional g-C3N4 with Cs2KBiBr6 double perovskite composite for efficient and stable blue light emission
Kumarasamy Alwar, R. Muralidharan, N. Abirami, et al.
Emergent Materials (2025)
Closed Access

Defect modeling in semiconductors: the role of first principles simulations and machine learning
Md. Habibur Rahman, Arun Mannodi‐Kanakkithodi
Journal of Physics Materials (2025) Vol. 8, Iss. 2, pp. 022001-022001
Open Access

Machine Learning-Assisted Dielectric Screening of Bismuth/Antimony-Based Compounds for Promising Optoelectronic Semiconductors
Guoliang Luo, Xiaoyu Yang, Yansong Zhou, et al.
The Journal of Physical Chemistry C (2025)
Closed Access

Heavy Metal Accumulation in Maize and Wheat in Acidic Soil: A Comparative Study
Xiaorou Wang, Pengchao Lv, Fujin Zhang, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2084-2084
Open Access

Multidimensional high-throughput screening for mixed perovskite materials with machine learning
Chengbing Chen, Jianrong Xiao, Zhiyong Wang
The Journal of Chemical Physics (2025) Vol. 162, Iss. 11
Closed Access

Optoelectronic and transport properties of Na2CuInY6 (Y = cl, br, I) lead-free double perovskites for infrared imaging and remote sensing
Ghulam Mustafa, Muhammad Ruhul Amin, Haseeb Ahmad, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 6
Closed Access | Times Cited: 3

Pressure effect on the structural, electronic, mechanical, optical and thermal properties of Ga2TiX6 (X = Cl, Br): A DFT simulation
Md. Atikur Rahman, Rejuana Ferdous, Dayal Chandra Roy, et al.
Materials Science and Engineering B (2024) Vol. 308, pp. 117553-117553
Closed Access | Times Cited: 3

High throughput substrate screening for interfacial thermal management of β-Ga2O3 by deep convolutional neural network
Mohammed Al‐Fahdi, Ming Hu
Journal of Applied Physics (2024) Vol. 135, Iss. 20
Closed Access | Times Cited: 2

Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices
Bonghyun Jo, Wenning Chen, Hyun Suk Jung
Journal of Energy Chemistry (2024) Vol. 101, pp. 298-323
Closed Access | Times Cited: 2

Machine learning-aided discovery of bismuth-based transition metal oxide double perovskites for solar cell applications
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, et al.
Solar Energy (2023) Vol. 267, pp. 112209-112209
Closed Access | Times Cited: 5

A Brief Review on Solar Light Assisted Photocatalytic Degradation of Dyes using Double/Layered Perovskites
Rasmirekha Pattanaik, Debapriya Pradhan, Suresh Kumar Dash
Current Nanoscience (2024) Vol. 21, Iss. 2, pp. 201-217
Closed Access | Times Cited: 1

Proposal of an Approach to Explore Photocatalysts by Two-stage Machine Learning Model
Wataru Takahara, Ryuto Baba, Yosuke Harashima, et al.
(2024)
Open Access | Times Cited: 1

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