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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:

Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy
Felix Mayr, Milan Harth, Ioannis Kouroudis, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 8, pp. 1940-1951
Closed Access | Times Cited: 17

Showing 17 citing articles:

Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion
Carola Lampe, Ioannis Kouroudis, Milan Harth, et al.
Advanced Materials (2023) Vol. 35, Iss. 16
Open Access | Times Cited: 29
Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells
Ioannis Kouroudis, Kenedy Tabah Tanko, Masoud Karimipour, et al.
ACS Energy Letters (2024) Vol. 9, Iss. 4, pp. 1581-1586
Open Access | Times Cited: 9
Artificial Intelligence Guided Studies of van der Waals Magnets
Trevor David Rhone, Romakanta Bhattarai, Haralambos Gavras, et al.
Advanced Theory and Simulations (2023) Vol. 6, Iss. 6
Open Access | Times Cited: 12
Improved Predictions of Organic Photovoltaic Performance through Machine Learning Models Empowered by Artificially Generated Failure Data
Yuta Miyake, Kakaraparthi Kranthiraja, Fumitaka Ishiwari, et al.
Chemistry of Materials (2022) Vol. 34, Iss. 15, pp. 6912-6920
Closed Access | Times Cited: 16
Data‐Driven Discovery of Organic Electronic Materials Enabled by Hybrid Top‐Down/Bottom‐Up Design
J. Terence Blaskovits, Rubén Laplaza, Sergi Vela, et al.
Advanced Materials (2023) Vol. 36, Iss. 2
Open Access | Times Cited: 8
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
Integration of Multijunction Absorbers and Catalysts for Efficient Solar‐Driven Artificial Leaf Structures: A Physical and Materials Science Perspective
Thomas Hannappel, Sahar Shekarabi, Wolfram Jaegermann, et al.
Solar RRL (2024) Vol. 8, Iss. 11
Closed Access | Times Cited: 2
Assessment of Bayesian guidance strategy to develop bake-hardening ferritic steel
Rajdeep Sarkar, Shiv Brat Singh, Amlan Dutta
Philosophical Magazine Letters (2024) Vol. 104, Iss. 1
Open Access | Times Cited: 2
Data-driven discovery of organic electronic materials enabled by hybrid top-down/bottom-up design
J. Terence Blaskovits, Rubén Laplaza, Sergi Vela, et al.
(2022)
Open Access | Times Cited: 5
Connecting the dots for fundamental understanding of structure–photophysics–property relationships of COFs, MOFs, and perovskites using a Multiparticle Holstein Formalism
Raja Ghosh, Francesco Paesani
Chemical Science (2022) Vol. 14, Iss. 5, pp. 1040-1064
Open Access | Times Cited: 4
Optoelectronic perovskite film characterization via machine vision
Milan Harth, Luigi Vesce, I. Kouroudis, et al.
Solar Energy (2023) Vol. 262, pp. 111840-111840
Open Access | Times Cited: 2
Near-Infrared Light-Induced Photoresponse in Er3+/Li+-Codoped Y2O3/Poly(methyl methacrylate) Composite Film
Hong Jia, Hongming Jiang, Zhi Chen, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 15, pp. 3470-3478
Closed Access | Times Cited: 3
Machine Learning Optimization of Non-Kasha Behavior and of Transient Dynamics in Model Retinal Isomerization
Davinder Singh, Chern Chuang, Paul Brumer
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 51, pp. 12543-12550
Open Access
Exploring Data Augmentation and Dimension Reduction Opportunities for Predicting the Bandgap of Inorganic Perovskite through Anion Site Optimization
Tri-Chan-Hung Nguyen, Young-Un Kim, Insung Jung, et al.
Photonics (2023) Vol. 10, Iss. 11, pp. 1232-1232
Open Access | Times Cited: 1
Machine Learning‐Accelerated Development of Perovskite Optoelectronics Toward Efficient Energy Harvesting and Conversion
Baian Chen, Rui Chen, Bolong Huang
Advanced Energy and Sustainability Research (2023) Vol. 4, Iss. 10
Open Access
Optoelectronic device based failure management using content based multispectral image retrieval and deep learning model
Raghuram Bhukya, B. Arunsundar, Narendra Babu Tatini, et al.
Optical and Quantum Electronics (2023) Vol. 56, Iss. 2
Closed Access
Connecting the Dots for Fundamental Understanding of Structure-Photophysics-Property Relationships of COFs, MOFs, and Perovskites using a Multiparticle Holstein Formalism
Raja Ghosh, Francesco Paesani
(2022)
Open Access
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