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:

Deep learning based optical curvature sensor through specklegram detection of multimode fiber
Guangde Li, Yan Liu, Qi Qin, et al.
Optics & Laser Technology (2022) Vol. 149, pp. 107873-107873
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Deep Learning for Optical Sensor Applications: A Review
Nagi H. Al‐Ashwal, Khaled A. M. Al Soufy, Mohga E. Hamza, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6486-6486
Open Access | Times Cited: 18

Multimode optical fiber sensors: from conventional to machine learning-assisted
Kun Wang, Yosuke Mizuno, Xingchen Dong, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 022002-022002
Open Access | Times Cited: 18

Deep Learning-Based Fiber Bending Recognition for Sensor Applications
D. Bender, Uğur Çakır, Emre Yüce
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 6956-6962
Closed Access | Times Cited: 16

Spatially-resolved bending recognition based on a learning-empowered fiber specklegram sensor
Han Gao, Haifeng Hu
Optics Express (2023) Vol. 31, Iss. 5, pp. 7671-7671
Open Access | Times Cited: 14

Multimode Fiber Specklegram Sensor for Multi-Position Loads Recognition Using Traversal Occlusion
Bohao Shen, Jianzhi Li, Zhe Ji
Sensors (2025) Vol. 25, Iss. 6, pp. 1737-1737
Open Access

Experimental Dataset for Fiber Optic Specklegram Sensing Under Thermal Conditions and Use in a Deep Learning Interrogation Scheme
Francisco J. Vélez, Juan David Arango Paredes, Víctor H. Aristizábal, et al.
Data (2025) Vol. 10, Iss. 4, pp. 44-44
Open Access

Feature Extraction Enabled Deep Learning From Specklegram for Optical Fiber Curvature Sensing
Guangde Li, Yan Liu, Qi Qin, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 16, pp. 15974-15984
Closed Access | Times Cited: 21

Demodulation of Fiber Specklegram Curvature Sensor Using Deep Learning
Zihan Yang, Liangliang Gu, Han Gao, et al.
Photonics (2023) Vol. 10, Iss. 2, pp. 169-169
Open Access | Times Cited: 11

Machine-Learning-Enabled Multimode Fiber Specklegram Sensors: A Review
Asif Newaz, Md. Omar Faruque, Rabiul Al Mahmud, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 18, pp. 20937-20950
Closed Access | Times Cited: 9

Simultaneous measurement of refractive index and curvature based on capillary fiber with structural long-period gratings
Yunhe Zhao, Mengjiao Ding, Mengxue Tang, et al.
Optics & Laser Technology (2024) Vol. 176, pp. 110964-110964
Closed Access | Times Cited: 3

Machine-learning-assisted omnidirectional bending sensor based on a cascaded asymmetric dual-core PCF sensor
Bingsen Huang, Xinzhi Sheng, Jiaqi Cao, et al.
Optics Letters (2023) Vol. 48, Iss. 19, pp. 4929-4929
Closed Access | Times Cited: 7

Demonstration of a Learning-Empowered Fiber Specklegram Sensor Based on Focused Ion Beam Milling for Refractive Index Sensing
Liangliang Gu, Han Gao, Haifeng Hu
Nanomaterials (2023) Vol. 13, Iss. 4, pp. 768-768
Open Access | Times Cited: 6

A reflective multimode fiber vector bending sensor based on specklegram
Xu Wang, Yong Yang, Shibang Li, et al.
Optics & Laser Technology (2023) Vol. 170, pp. 110235-110235
Closed Access | Times Cited: 6

Optical fiber specklegram sensor for multi-point curvature measurements
Eric Fujiwara, Thiago D. Cabral
Applied Optics (2022) Vol. 61, Iss. 23, pp. 6787-6787
Closed Access | Times Cited: 10

Multimode fiber ruler for detecting nanometric displacements
Ksenia Abrashitova, Lyubov V. Amitonova
APL Photonics (2022) Vol. 7, Iss. 8
Open Access | Times Cited: 10

Weight-location recognition in a plastic optical fiber using a convolutional neural network
Nikhil Vangety, Koustav Dey, Sourabh Roy
Optical Fiber Technology (2022) Vol. 75, pp. 103166-103166
Closed Access | Times Cited: 9

Deep Learning for Optical Sensor Applications: An Insight Review
Nagi H. Al‐Ashwal, Khaled A. M. Al Soufy, Mohga E. Hamza, et al.
(2023)
Open Access | Times Cited: 5

A spatial domain multiplexing technology for fiber specklegram sensor
Shun Lu, Zhongwei Tan, Wenjie Ji, et al.
Optical Fiber Technology (2023) Vol. 81, pp. 103505-103505
Closed Access | Times Cited: 5

Multimode Optical Fiber Specklegram Pressure Sensor Using Deep Learning
Mohammad Istiaque Reja, Darcy L. Smith, Linh V. Nguyen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 1

Transfer learning convolutional neural network for weight classification in a plastic optical fiber
Nikhil Vangety, Koustav Dey, Sourabh Roy
Journal of Optical Communications (2023)
Closed Access | Times Cited: 4

Imaging consecutive targets through scattering medium and around corners beyond the optical memory effect using untrained network
Yingjie Shi, Enlai Guo, Ming Sun, et al.
Results in Physics (2023) Vol. 51, pp. 106691-106691
Open Access | Times Cited: 4

Deep learning for highly efficient curvature recognition using fiber scattering speckles
Xinliang Gao, Yonghui Li, Jixuan Wu, et al.
Results in Physics (2023) Vol. 52, pp. 106808-106808
Open Access | Times Cited: 4

Bending recognition based on learning enhanced fiber specklegram sensor
Han Gao, Yanxin Zhang, Weigang Zhang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115125-115125
Closed Access | Times Cited: 4

Demodulation of DBR Fiber Laser Sensors With Speckle Patterns
Fang Zhao, Weihao Lin, Penglai Guo, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 21, pp. 26022-26030
Closed Access | Times Cited: 4

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