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:

Inverse design of structural color: finding multiple solutions via conditional generative adversarial networks
Peng Dai, Kai Sun, Xingzhao Yan, et al.
Nanophotonics (2022) Vol. 11, Iss. 13, pp. 3057-3069
Open Access | Times Cited: 23

Showing 23 citing articles:

Deep-learning-based framework for inverse design of a defective phononic crystal for narrowband filtering
Donghyu Lee, Byeng D. Youn, Soo-Ho Jo
International Journal of Mechanical Sciences (2023) Vol. 255, pp. 108474-108474
Closed Access | Times Cited: 26

A newcomer’s guide to deep learning for inverse design in nano-photonics
Abdourahman Khaireh-Walieh, Denis Langevin, Pauline Bennet, et al.
Nanophotonics (2023) Vol. 12, Iss. 24, pp. 4387-4414
Open Access | Times Cited: 24

Deep reinforcement learning empowers automated inverse design and optimization of photonic crystals for nanoscale laser cavities
Renjie Li, Ceyao Zhang, Wentao Xie, et al.
Nanophotonics (2023) Vol. 12, Iss. 2, pp. 319-334
Open Access | Times Cited: 22

Diffusion probabilistic model based accurate and high-degree-of-freedom metasurface inverse design
Zezhou Zhang, Chuanchuan Yang, Yifeng Qin, et al.
Nanophotonics (2023) Vol. 12, Iss. 20, pp. 3871-3881
Open Access | Times Cited: 20

Large-scale photonic inverse design: computational challenges and breakthroughs
Chanik Kang, Chaejin Park, Myunghoo Lee, et al.
Nanophotonics (2024) Vol. 13, Iss. 20, pp. 3765-3792
Open Access | Times Cited: 6

OptoGPT: A foundation model for inverse design in optical multilayer thin film structures
Taigao Ma, Haozhu Wang, L. Jay Guo
Opto-Electronic Advances (2024) Vol. 7, Iss. 7, pp. 240062-240062
Open Access | Times Cited: 6

Advanced Deep Learning Approaches in Metasurface Modeling and Design: A Review
Yunxi Dong, Sensong An, Haoyue Jiang, et al.
Progress in Quantum Electronics (2025), pp. 100554-100554
Closed Access

Direct‐Printing Hydrogel‐Based Platform for Humidity‐Driven Dynamic Full‐Color Printing and Holography
Chenjie Dai, Zile Li, Zhe Li, et al.
Advanced Functional Materials (2022) Vol. 33, Iss. 9
Open Access | Times Cited: 22

Data-Efficient Machine Learning Algorithms for the Design of Surface Bragg Gratings
M. R. Mahani, Yasmin Rahimof, S. Wenzel, et al.
ACS Applied Optical Materials (2023) Vol. 1, Iss. 8, pp. 1474-1484
Open Access | Times Cited: 8

Inverse design of dynamically tunable phase-change material based metamaterial absorber induced structural color
Ram Prakash S, Rajesh Kumar, Anirban K. Mitra
Photonics and Nanostructures - Fundamentals and Applications (2023) Vol. 54, pp. 101135-101135
Closed Access | Times Cited: 5

Inverse Design of Plasmonic Nanohole Arrays by Combing Spectra and Structural Color in Deep Learning
Chun Liu, Jinglan Zhang, Yiping Zhao, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 10
Open Access | Times Cited: 5

Exploring High-Performance Photonic Crystal Slow Light Waveguides through Deep Reinforcement Learning
Haotian Yan, Ran Hao, Bilin Ye, et al.
Optics Communications (2024) Vol. 569, pp. 130830-130830
Closed Access | Times Cited: 1

Deep neural networks with adaptive solution space for inverse design of multilayer deep-etched grating
Pan Liu, Yongqiang Zhao, Ning Li, et al.
Optics and Lasers in Engineering (2023) Vol. 174, pp. 107933-107933
Closed Access | Times Cited: 4

PyMoosh: a comprehensive numerical toolkit for computing the optical properties of multilayered structures
Denis Langevin, Pauline Bennet, Abdourahman Khaireh-Walieh, et al.
Journal of the Optical Society of America B (2023) Vol. 41, Iss. 2, pp. A67-A67
Open Access | Times Cited: 2

Multi-solution inverse design in photonics using generative modeling
Preetam Kumar, Aniket Patra, E. S. Shivaleela, et al.
Journal of the Optical Society of America B (2024) Vol. 41, Iss. 2, pp. A152-A152
Closed Access

Deep learning based on the loss metric for inverse design of photonic resonators
Hao You, Liuge Du, Xiao Xu, et al.
Optics Express (2024) Vol. 32, Iss. 18, pp. 31193-31193
Open Access

Incremental Inverse Design of Desired Soybean Phenotypes
Joseph Zavorskas, Harley Edwards, Mark R. Marten, et al.
ACS Omega (2024) Vol. 9, Iss. 40, pp. 41208-41216
Open Access

Advances in artificial intelligence for artificial metamaterials
Tosihide H. YOSIDA, Rong Niu, Chenyang Dang, et al.
APL Materials (2024) Vol. 12, Iss. 12
Open Access

Inverse Design of High-Q Topological Corner States nanocavities Based on Deep Reinforcement Learning
Zongfu Yu, Ran Hao
Optics Communications (2024), pp. 131402-131402
Closed Access

Generation of a Synthetic Database for the Optical Response of One-Dimensional Photonic Crystals Using Genetic Algorithms
César Isaza, Ivan Alonso Lujan-Cabrera, Ely Karina Anaya Rivera, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4484-4484
Open Access | Times Cited: 3

Tensor completion algorithm-aided structural color design
Xueling Wei, Fen Zhao, Yiyi Zhang, et al.
Optics Express (2023) Vol. 31, Iss. 22, pp. 35653-35653
Open Access

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