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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:

A cyclical deep learning based framework for simultaneous inverse and forward design of nanophotonic metasurfaces
Abhishek Mall, Abhijeet Patil, Amit Sethi, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Recent progress on metasurfaces: applications and fabrication
Gwanho Yoon, Takuo Tanaka, Thomas Zentgraf, et al.
Journal of Physics D Applied Physics (2021) Vol. 54, Iss. 38, pp. 383002-383002
Closed Access | Times Cited: 60
A unique physics-inspired deep-learning-based platform introducing a generalized tool for rapid optical-response prediction and parametric-optimization for all-dielectric metasurfaces
Sadia Noureen, Muhammad Qasim Mehmood, Mohsen Ali, et al.
Nanoscale (2022) Vol. 14, Iss. 44, pp. 16436-16449
Open Access | Times Cited: 37
Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity
Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, et al.
ACS Photonics (2022) Vol. 9, Iss. 2, pp. 714-721
Open Access | Times Cited: 36
Generalizable Metamaterials Design Techniques Inspire Efficient Mycelial Materials Inverse Design
Joseph Zavorskas, Harley Edwards, Mark R. Marten, et al.
ACS Biomaterials Science & Engineering (2025)
Closed Access
Artificial intelligence for photonics and photonic materials
Davide Piccinotti, Kevin F. MacDonald, Simon A. Gregory, et al.
Reports on Progress in Physics (2020) Vol. 84, Iss. 1, pp. 012401-012401
Closed Access | Times Cited: 48
Machine learning and its applications for plasmonics in biology
Gwiyeong Moon, Jongha Lee, Hyunwoong Lee, et al.
Cell Reports Physical Science (2022) Vol. 3, Iss. 9, pp. 101042-101042
Open Access | Times Cited: 22
Deep learning modeling strategy for material science: from natural materials to metamaterials
Wenwen Li, Pu Chen, Bo Xiong, et al.
Journal of Physics Materials (2022) Vol. 5, Iss. 1, pp. 014003-014003
Open Access | Times Cited: 16
Physics-driven tandem inverse design neural network for efficient optimization of UV–Vis meta-devices
Sadia Noureen, Iqrar Hussain Syed, Sumbel Ijaz, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100503-100503
Open Access | Times Cited: 8
Deep-Learning Estimation of Complex Reverberant Wave Fields with a Programmable Metasurface
Benjamin W. Frazier, Thomas M. Antonsen, Steven M. Anlage, et al.
Physical Review Applied (2022) Vol. 17, Iss. 2
Open Access | Times Cited: 13
Switching on Versatility: Recent Advances in Switchable Plasmonic Nanostructures
Hajun Yoo, Hyunwoong Lee, Seongmin Im, et al.
Small Science (2023) Vol. 3, Iss. 10
Open Access | Times Cited: 7
Exploring Deep Learning Models Aimed at Favorable Optimization and Enhancement of Fiber Optic Sensor’s Performance
Harshit Tiwari, Yogendra S. Dwivedi, Rishav Singh, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 20330-20337
Closed Access | Times Cited: 6
Deep learning for electromagnetically induced transparency (EIT) metasurface optimization design
Lei Zhu, Cong Zhang, Jing Guo, et al.
Journal of Physics D Applied Physics (2022) Vol. 55, Iss. 31, pp. 315001-315001
Closed Access | Times Cited: 11
Inverse design in flat optics
Yubin Gao, Qikai Chen, Sijie Pian, et al.
Photonics and Nanostructures - Fundamentals and Applications (2022) Vol. 52, pp. 101074-101074
Closed Access | Times Cited: 9
Metamaterial Reverse Multiple Prediction Method Based on Deep Learning
Zheyu Hou, Pengyu Zhang, Mengfan Ge, et al.
Nanomaterials (2021) Vol. 11, Iss. 10, pp. 2672-2672
Open Access | Times Cited: 11
Deep Learning-Based Metasurface Design for Smart Cooling of Spacecraft
Ayman Negm, Mohamed H. Bakr, Matiar M. R. Howlader, et al.
Nanomaterials (2023) Vol. 13, Iss. 23, pp. 3073-3073
Open Access | Times Cited: 3
Inverse design of electromagnetically induced transparency(EIT) metasurface based on deep convolutional generative adversarial network
Lei Zhu, Cong Zhang, Liang Dong, et al.
Physica Scripta (2023) Vol. 98, Iss. 10, pp. 105501-105501
Closed Access | Times Cited: 2
Deep-learning empowered unique and rapid optimization of meta-absorbers for solar thermophotovoltaics
Sadia Noureen, Sumbel Ijaz, Isma Javed, et al.
Optical Materials Express (2024) Vol. 14, Iss. 4, pp. 1025-1025
Open Access
Specific wavelength peak emulation with amorphous metastructures
Tae Young Kang, Kyujung Kim
Optics Letters (2024) Vol. 49, Iss. 14, pp. 3922-3922
Closed Access
A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design
Manna Dai, Yang Jiang, Feng Yang, et al.
Neural Networks (2024) Vol. 180, pp. 106654-106654
Open Access
Deep Learning‐Based Variational Autoencoder for Classification of Quantum and Classical States of Light
Mahesh Bhupati, Abhishek Mall, Anshuman Kumar, et al.
Advanced Physics Research (2024)
Open Access
Deep Learning-Enabled De-Noising of Fiber Bragg Grating-Based Glucose Sensor: Improving Sensing Accuracy of Experimental Data
Harshit Tiwari, Yogendra S. Dwivedi, Rishav Singh, et al.
Photonics (2024) Vol. 11, Iss. 11, pp. 1058-1058
Open Access
Analysis of Reconfigurable Multi-passband Metasurface Filters Designed by Deep Neural Networks for 6G Applications
Vahid Jamshidiha, Abdolali Abdipour, Amir Nader Askarpour
Research Square (Research Square) (2024)
Open Access
Hybrid deep learning for design of nanophotonic quantum emitter lenses
Didulani Acharige, Eric Johlin
Nano Express (2024) Vol. 5, Iss. 3, pp. 035014-035014
Open Access
Review of Generative Models for the Inverse Design of Nanophotonic Metasurfaces
Seunghwan Moon, Jihun Kang, Jong‐Souk Yeo
Applied Science and Convergence Technology (2023) Vol. 32, Iss. 6, pp. 141-150
Open Access | Times Cited: 1
A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design
Manna Dai
(2023)
Open Access
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