Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials
Wei Ma, Feng Cheng, Yongmin Liu
ACS Nano (2018) Vol. 12, Iss. 6, pp. 6326-6334
Closed Access | Times Cited: 796

Showing 1-25 of 796 citing articles:

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
Machine learning in additive manufacturing: State-of-the-art and perspectives
Chengcheng Wang, Xipeng Tan, Shu Beng Tor, et al.
Additive manufacturing (2020) Vol. 36, pp. 101538-101538
Open Access | Times Cited: 529
Deep Learning in Chemistry
Adam C. Mater, Michelle L. Coote
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 6, pp. 2545-2559
Closed Access | Times Cited: 509
Deep-learning-enabled self-adaptive microwave cloak without human intervention
Chao Qian, Bin Zheng, Yichen Shen, et al.
Nature Photonics (2020) Vol. 14, Iss. 6, pp. 383-390
Closed Access | Times Cited: 439
Electromagnetic chirality: from fundamentals to nontraditional chiroptical phenomena
Jungho Mun, Minkyung Kim, Younghwan Yang, et al.
Light Science & Applications (2020) Vol. 9, Iss. 1
Open Access | Times Cited: 436
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 for accelerated all-dielectric metasurface design
Christian C. Nadell, Bohao Huang, Jordan M. Malof, et al.
Optics Express (2019) Vol. 27, Iss. 20, pp. 27523-27523
Open Access | Times Cited: 378
Tunable nanophotonics enabled by chalcogenide phase-change materials
Sajjad Abdollahramezani, Omid Hemmatyar, Hossein Taghinejad, et al.
Nanophotonics (2020) Vol. 9, Iss. 5, pp. 1189-1241
Open Access | Times Cited: 369
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
Global Optimization of Dielectric Metasurfaces Using a Physics-Driven Neural Network
Jiaqi Jiang, Jonathan A. Fan
Nano Letters (2019) Vol. 19, Iss. 8, pp. 5366-5372
Open Access | Times Cited: 340
Deep Neural Network Inverse Design of Integrated Photonic Power Splitters
Mohammad H. Tahersima, Keisuke Kojima, Toshiaki Koike–Akino, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 328
Free-Form Diffractive Metagrating Design Based on Generative Adversarial Networks
Jiaqi Jiang, D. D. Sell, Stephan Hoyer, et al.
ACS Nano (2019) Vol. 13, Iss. 8, pp. 8872-8878
Open Access | Times Cited: 320
A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design
Sensong An, Clayton Fowler, Bowen Zheng, et al.
ACS Photonics (2019) Vol. 6, Iss. 12, pp. 3196-3207
Closed Access | Times Cited: 313
Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
Kan Yao, Rohit Unni, Yuebing Zheng
Nanophotonics (2019) Vol. 8, Iss. 3, pp. 339-366
Open Access | Times Cited: 278
Machine learning for renewable energy materials
Geun Ho Gu, Juhwan Noh, I. P. Kim, et al.
Journal of Materials Chemistry A (2019) Vol. 7, Iss. 29, pp. 17096-17117
Closed Access | Times Cited: 265
Intelligent metasurfaces: control, communication and computing
Lianlin Li, Hanting Zhao, Che Liu, et al.
eLight (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 262
Review of numerical optimization techniques for meta-device design [Invited]
Sawyer D. Campbell, D. D. Sell, R. Jenkins, et al.
Optical Materials Express (2019) Vol. 9, Iss. 4, pp. 1842-1842
Open Access | Times Cited: 259
Metasurface‐Empowered Optical Multiplexing and Multifunction
Shuqi Chen, Wenwei Liu, Zhancheng Li, et al.
Advanced Materials (2019) Vol. 32, Iss. 3
Closed Access | Times Cited: 247
Designing nanophotonic structures using conditional deep convolutional generative adversarial networks
Sunae So, Junsuk Rho
Nanophotonics (2019) Vol. 8, Iss. 7, pp. 1255-1261
Open Access | Times Cited: 236
When metasurface meets hologram: principle and advances
Qiang Jiang, Guofan Jin, Liangcai Cao
Advances in Optics and Photonics (2019) Vol. 11, Iss. 3, pp. 518-518
Closed Access | Times Cited: 233
Simultaneous Inverse Design of Materials and Structures via Deep Learning: Demonstration of Dipole Resonance Engineering Using Core–Shell Nanoparticles
Sunae So, Jungho Mun, Junsuk Rho
ACS Applied Materials & Interfaces (2019) Vol. 11, Iss. 27, pp. 24264-24268
Closed Access | Times Cited: 231
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
Design of task-specific optical systems using broadband diffractive neural networks
Yi Luo, Deniz Mengü, Nezih Tolga Yardimci, et al.
Light Science & Applications (2019) Vol. 8, Iss. 1
Open Access | Times Cited: 220
Recent advances in multi-dimensional metasurfaces holographic technologies
Ruizhe Zhao, Lingling Huang, Yongtian Wang
PhotoniX (2020) Vol. 1, Iss. 1
Open Access | Times Cited: 218
Page 1 - Next Page

Scroll to top