Open Access Helper

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:

Hierarchical residual learning for image denoising
Wuzhen Shi, Feng Jiang, Shengping Zhang, et al.
Signal Processing Image Communication (2019) Vol. 76, pp. 243-251
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Methods for image denoising using convolutional neural network: a review
Ademola E. Ilesanmi, Taiwo Ilesanmi
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2179-2198
Open Access | Times Cited: 234
A Hybrid CNN for Image Denoising
Menghua Zheng, Keyan Zhi, Jiawen Zeng, et al.
Journal of Artificial Intelligence and Technology (2022)
Open Access | Times Cited: 62
Point Cloud Reduction and Denoising Based on Optimized Downsampling and Bilateral Filtering
Bochang Zou, Huadong Qiu, Yufeng Lu
IEEE Access (2020) Vol. 8, pp. 136316-136326
Open Access | Times Cited: 37
NERNet: Noise estimation and removal network for image denoising
Bingyang Guo, Kechen Song, Hongwen Dong, et al.
Journal of Visual Communication and Image Representation (2020) Vol. 71, pp. 102851-102851
Closed Access | Times Cited: 33
Ultrasound image de-speckling by a hybrid deep network with transferred filtering and structural prior
Xiangfei Feng, Qinghua Huang, Xuelong Li
Neurocomputing (2020) Vol. 414, pp. 346-355
Closed Access | Times Cited: 33
Towards Reduced CNNs for De-Noising Phase Images Corrupted with Speckle Noise
Marie Tahon, Silvio Montrésor, Pascal Picart
Photonics (2021) Vol. 8, Iss. 7, pp. 255-255
Open Access | Times Cited: 22
Multifeature extracting CNN with concatenation for image denoising
Yongcun Guo, Xiaofen Jia, Baiting Zhao, et al.
Signal Processing Image Communication (2019) Vol. 81, pp. 115690-115690
Closed Access | Times Cited: 16
Recent developments in computational color image denoising with PDEs to deep learning: a review
Nadeem Salamat, Malik Muhammad Saad Missen, V. B. Surya Prasath
Artificial Intelligence Review (2021) Vol. 54, Iss. 8, pp. 6245-6276
Closed Access | Times Cited: 13
Denoising Method for Microseismic Signals with Convolutional Neural Network Based on Transfer Learning
Xuegui Li, Shuo Feng, Yuantao Guo, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Bayesian sparse hierarchical model for image denoising
Jun Xiao, Rui Zhao, Kin‐Man Lam
Signal Processing Image Communication (2021) Vol. 96, pp. 116299-116299
Open Access | Times Cited: 12
DNN-driven hybrid denoising: advancements in speckle noise reduction
Noha A. El‐Hag, Heba M. El‐Hoseny, Fatma Harby
Journal of Optics (2024)
Closed Access | Times Cited: 1
PET Synthesis via Self-Supervised Adaptive Residual Estimation Generative Adversarial Network
Yuxin Xue, Lei Bi, Yige Peng, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2023) Vol. 8, Iss. 4, pp. 426-438
Open Access | Times Cited: 3
CNN-based denoising system for the image quality enhancement
S.P. Predeep Kumar, Yashwant Kurmi
Multimedia Tools and Applications (2022) Vol. 81, Iss. 14, pp. 20147-20174
Closed Access | Times Cited: 4
A novel image Denoising approach using super resolution densely connected convolutional networks
Mürsel Ozan İncetaş, Murat Uçar, Emine Uçar, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 23, pp. 33291-33309
Closed Access | Times Cited: 4
Multi-scale selective image texture smoothing via intuitive single clicks
Chong Liu, Yidan Feng, Cui Yang, et al.
Signal Processing Image Communication (2021) Vol. 97, pp. 116357-116357
Closed Access | Times Cited: 5
Flashlight CNN Image Denoising
Pham Huu Thanh Binh, Cristóvão Cruz, Karen Egiazarian
2021 29th European Signal Processing Conference (EUSIPCO) (2020), pp. 670-674
Open Access | Times Cited: 4
A general model compression method for image restoration network
Jie Xiao, Zhi Jin, Huanrong Zhang
Signal Processing Image Communication (2021) Vol. 93, pp. 116134-116134
Closed Access | Times Cited: 4
Image denoising to enhance character recognition using deep learning
Jamal Hussain, Vanlalruata
International Journal of Information Technology (2022) Vol. 14, Iss. 7, pp. 3457-3469
Open Access | Times Cited: 3
Denoising the Endoscopy Images of the Gastrointestinal Tract Using Complex-Valued CNN
Nisha, Prachi Chaudhary
Lecture notes in networks and systems (2024), pp. 439-448
Closed Access
Underwater image enhancement based on a portion denoising adversarial network
Xingzhen Li, Haitao Gu, Siquan Yu, et al.
International Journal of Intelligent Robotics and Applications (2023) Vol. 7, Iss. 3, pp. 485-496
Closed Access | Times Cited: 1
De-Noising of Apple Fruit Images using Dilated Convolution Neural Network model with Mixed Activation Function
Et al. C Radhiya Devi
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 10, pp. 2338-2345
Open Access | Times Cited: 1
Image Denoising to enhance Character Recognition using Deep Learning
Vanlal ruata, Junaid Hussain
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Flashlight CNN Image Denoising
Pham Huu Thanh Binh, Cristóvão Cruz, Karen Egiazarian
arXiv (Cornell University) (2020)
Closed Access
Cloud based Medical Image De-Noising using Deep Convolution Neural Network
Bhavesh Suneja, Ashish Negi, Rishav Bhardwaj
International Journal of Computer Applications (2022) Vol. 184, Iss. 20, pp. 37-42
Open Access
Self-supervised denoising for massive noisy images
Feng Wang, Trond R. Henninen, Debora Keller, et al.
arXiv (Cornell University) (2021)
Open Access
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