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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:

Data-driven design of novel halide perovskite alloys
Arun Mannodi‐Kanakkithodi, Maria K. Y. Chan
Energy & Environmental Science (2022) Vol. 15, Iss. 5, pp. 1930-1949
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Theoretical investigation of the role of halide alloys in the optoelectronic and stability properties of perovskites: The example of Cs0.25MA0
Ramiro M. dos Santos, Iván Ornelas−Cruz, Matheus P. Lima, et al.
Applied Materials Today (2025) Vol. 44, pp. 102712-102712
Closed Access
PAL 2.0: a physics-driven bayesian optimization framework for material discovery
Maitreyee Sharma Priyadarshini, Oluwaseun Romiluyi, Yiran Wang, et al.
Materials Horizons (2023) Vol. 11, Iss. 3, pp. 781-791
Closed Access | Times Cited: 10
PASCAL: the Perovskite Automated Spin Coat Assembly Line Accelerates Composition Screening in Triple-Halide Perovskite Alloys
Deniz N. Cakan, Rishi E. Kumar, Eric Oberholtz, et al.
Digital Discovery (2024) Vol. 3, Iss. 6, pp. 1236-1246
Open Access | Times Cited: 3
Machine learning for gas–solid interaction materials and devices
Peiyuan Liu, Xiaoyang Zhu, Xu Ran, et al.
Coordination Chemistry Reviews (2024) Vol. 524, pp. 216329-216329
Closed Access | Times Cited: 3
Machine learning-driven design of promising perovskites for photovoltaic applications: A review
Jinlian Chen, Mengjia Feng, Chenyang Zha, et al.
Surfaces and Interfaces (2022) Vol. 35, pp. 102470-102470
Closed Access | Times Cited: 12
A guide to discovering next-generation semiconductor materials using atomistic simulations and machine learning
Arun Mannodi‐Kanakkithodi
Computational Materials Science (2024) Vol. 243, pp. 113108-113108
Closed Access | Times Cited: 2
Screening of Novel Halide Perovskites for Photocatalytic Water Splitting using Multi-Fidelity Machine Learning
Maitreyo Biswas, Rushik Desai, Arun Mannodi‐Kanakkithodi
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 35, pp. 23177-23188
Open Access | Times Cited: 2
Low‐Temperature Synthesis of Stable CaZn2P2 Zintl Phosphide Thin Films as Candidate Top Absorbers
Shaham Quadir, Zhenkun Yuan, Guillermo L. Esparza, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 44
Open Access | Times Cited: 2
A Comprehensive Review of Machine Learning Applications in Perovskite Solar Cells: Materials Discovery, Device Performance, Process Optimization and Systems Integration
Ling Mao, Changying Xiang
Materials Today Energy (2024) Vol. 47, pp. 101742-101742
Closed Access | Times Cited: 2
A first principles investigation of ternary and quaternary II–VI zincblende semiconductor alloys
Arun Mannodi‐Kanakkithodi
Modelling and Simulation in Materials Science and Engineering (2022) Vol. 30, Iss. 4, pp. 044001-044001
Closed Access | Times Cited: 8
A framework for materials informatics education through workshops
Arun Mannodi‐Kanakkithodi, Austin McDannald, Shijing Sun, et al.
MRS Bulletin (2023) Vol. 48, Iss. 5, pp. 560-569
Open Access | Times Cited: 4
Machine Learning-Assisted Screening of Cu-Based Trimetallic Catalysts for Electrochemical Conversion of CO2 to CO
Bo Xiong, Jing Liu, Yingju Yang, et al.
Energy & Fuels (2023) Vol. 38, Iss. 3, pp. 2074-2083
Closed Access | Times Cited: 4
Machine‐Learning Accelerating the Development of Perovskite Photovoltaics
Tiantian Liu, Sen Wang, Yinguang Shi, et al.
Solar RRL (2023) Vol. 7, Iss. 23
Closed Access | Times Cited: 4
Janus Halogenated Silicene for Photocatalytic and Photovoltaic Applications: A Machine Learning Combined with First-Principles Study
Wei Hong, Jianmei Yuan, Yuliang Mao
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 34, pp. 14282-14293
Closed Access | Times Cited: 1
Digital manufacturing of perovskite materials and solar cells
Zixuan Wang, Zijian Chen, Boyuan Wang, et al.
Applied Energy (2024) Vol. 377, pp. 124120-124120
Closed Access | Times Cited: 1
Enhancing Optoelectronic Performance of All-Inorganic Double Perovskites via Halogen Doping: Synergistic Screening Strategies and Multiscale Simulations
Xifeng Fu, Zhiying Zhao, Sai Guo, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 20, pp. 9148-9160
Closed Access | Times Cited: 1
Assessing Performance and Limitations of a Device‐Level Machine Learning Approach for Perovskite Solar Cells with an Application to Hole Transport Materials
S. Sala, Eleonora Quadrivi, Paolo Biagini, et al.
Solar RRL (2023) Vol. 7, Iss. 20
Closed Access | Times Cited: 1
NestedAE: interpretable nested autoencoders for multi-scale materials characterization
Nikhil Thota, Maitreyee Sharma Priyadarshini, Rigoberto Hernandez
Materials Horizons (2023) Vol. 11, Iss. 3, pp. 700-707
Closed Access | Times Cited: 1
Exploration of highly stable and highly efficient new lead-free halide perovskite solar cells by machine learning
Chenyang Zhu, Yiming Liu, Donghua Wang, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 12, pp. 102321-102321
Open Access
Fungi-enabled pore channel regulation and defect engineering of a novel micro-reactor for treating complex effluents
Xiaoying Jiang, Yan Zhang, Feiyang Zhang, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 12, pp. 8564-8573
Closed Access
Machine learning-enabled chemical space exploration of all-inorganic perovskites for photovoltaics
Jino Im, Jin‐Soo Kim, Juhwan Noh
Research Square (Research Square) (2023)
Open Access
Discovery of the Zintl-phosphide BaCd$_{2}$P$_{2}$ as a long carrier lifetime and stable solar absorber
Zhenkun Yuan, Diana Dahliah, Muhammad Rubaiat Hasan, et al.
arXiv (Cornell University) (2023)
Open Access
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