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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.

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Showing 1-25 of 469 citing articles:

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Erico Tjoa, Cuntai Guan
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 11, pp. 4793-4813
Open Access | Times Cited: 1425
Deep learning for the design of photonic structures
Wei Ma, Zhaocheng Liu, Zhaxylyk A. Kudyshev, et al.
Nature Photonics (2020) Vol. 15, Iss. 2, pp. 77-90
Closed Access | Times Cited: 796
Deep learning enabled inverse design in nanophotonics
Sunae So, Trevon Badloe, Jaebum Noh, et al.
Nanophotonics (2020) Vol. 9, Iss. 5, pp. 1041-1057
Open Access | Times Cited: 427
Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan
Nature Reviews Materials (2020) Vol. 6, Iss. 8, pp. 679-700
Closed Access | Times Cited: 420
Deep learning in nano-photonics: inverse design and beyond
Peter R. Wiecha, Arnaud Arbouet, Christian Girard, et al.
Photonics Research (2021) Vol. 9, Iss. 5, pp. B182-B182
Open Access | Times Cited: 363
Nanophotonics for light detection and ranging technology
Inki Kim, Renato Martins, Jaehyuck Jang, et al.
Nature Nanotechnology (2021) Vol. 16, Iss. 5, pp. 508-524
Closed Access | Times Cited: 347
Inverse-designed spinodoid metamaterials
Siddhant Kumar, Stephanie Tan, Li Zheng, et al.
npj Computational Materials (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 273
Nanophotonic Structural Colors
Soroosh Daqiqeh Rezaei, Zhaogang Dong, John You En Chan, et al.
ACS Photonics (2020) Vol. 8, Iss. 1, pp. 18-33
Open Access | Times Cited: 267
Deep generative modeling for mechanistic-based learning and design of metamaterial systems
Liwei Wang, Yu‐Chin Chan, Faez Ahmed, et al.
Computer Methods in Applied Mechanics and Engineering (2020) Vol. 372, pp. 113377-113377
Open Access | Times Cited: 229
Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible
Miguel A. Bessa, Piotr Głowacki, Michael Houlder
Advanced Materials (2019) Vol. 31, Iss. 48
Open Access | Times Cited: 223
Tunable metasurfaces towards versatile metalenses and metaholograms: a review
Jae‐Kyung Kim, Junhwa Seong, Younghwan Yang, et al.
Advanced Photonics (2022) Vol. 4, Iss. 02
Open Access | Times Cited: 192
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed
Journal of Mechanical Design (2022) Vol. 144, Iss. 7
Open Access | Times Cited: 162
Pushing the Limits of Functionality‐Multiplexing Capability in Metasurface Design Based on Statistical Machine Learning
Wei Ma, Yihao Xu, Bo Xiong, et al.
Advanced Materials (2022) Vol. 34, Iss. 16
Open Access | Times Cited: 158
Tackling Photonic Inverse Design with Machine Learning
Zhaocheng Liu, Dayu Zhu, Lakshmi Raju, et al.
Advanced Science (2021) Vol. 8, Iss. 5
Open Access | Times Cited: 154
Multifunctional Metasurface Design with a Generative Adversarial Network
Sensong An, Bowen Zheng, Hong Tang, et al.
Advanced Optical Materials (2021) Vol. 9, Iss. 5
Open Access | Times Cited: 154
Artificial Intelligence in Meta-optics
Mu Ku Chen, Xiaoyuan Liu, Yanni Sun, et al.
Chemical Reviews (2022) Vol. 122, Iss. 19, pp. 15356-15413
Open Access | Times Cited: 141
From Photonic Crystals to Seismic Metamaterials: A Review via Phononic Crystals and Acoustic Metamaterials
Muhammad Gulzari, C.W. Lim
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 1137-1198
Closed Access | Times Cited: 131
Deep Learning the Electromagnetic Properties of Metamaterials—A Comprehensive Review
Omar Khatib, Simiao Ren, Jordan M. Malof, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 31
Open Access | Times Cited: 129
Empowering Metasurfaces with Inverse Design: Principles and Applications
Zhaoyi Li, Raphaël Pestourie, Zin Lin, et al.
ACS Photonics (2022) Vol. 9, Iss. 7, pp. 2178-2192
Open Access | Times Cited: 122
Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design
Xiaoyang Zheng, Xubo Zhang, Ta‐Te Chen, et al.
Advanced Materials (2023) Vol. 35, Iss. 45
Open Access | Times Cited: 122
Chirality in Light–Matter Interaction
Andrew Lininger, Giovanna Palermo, Alexa Guglielmelli, et al.
Advanced Materials (2022) Vol. 35, Iss. 34
Closed Access | Times Cited: 115
A Generative Machine Learning-Based Approach for Inverse Design of Multilayer Metasurfaces
Parinaz Naseri, Sean V. Hum
IEEE Transactions on Antennas and Propagation (2021) Vol. 69, Iss. 9, pp. 5725-5739
Open Access | Times Cited: 108
Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform
Chan Wang, Tianyiyi He, Hong Zhou, et al.
Bioelectronic Medicine (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 95
Ultraspectral Imaging Based on Metasurfaces with Freeform Shaped Meta‐Atoms
Jiawei Yang, Kaiyu Cui, Xusheng Cai, et al.
Laser & Photonics Review (2022) Vol. 16, Iss. 7
Open Access | Times Cited: 91
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
Li Zheng, Konstantinos Karapiperis, Siddhant Kumar, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 76
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