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:

High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm
Maciej Kaczyński, Zbigniew Piotrowski
Sensors (2022) Vol. 22, Iss. 14, pp. 5376-5376
Open Access | Times Cited: 13

Showing 13 citing articles:

Deep Learning-Based Watermarking Techniques Challenges: A Review of Current and Future Trends
Saoussen Ben Jabra, Mohamed Amine Ben Farah
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 7, pp. 4339-4368
Open Access | Times Cited: 10
Victim Verification with the Use of Deep Metric Learning in DVI System Supported by Mobile Application
Zbigniew Piotrowski, Marta Bistroń, Gabriel Jekateryńczuk, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 727-727
Open Access
Fast Fake – easy to train Face Swap model
Tomasz Walczyna, Zbigniew Piotrowski
(2024)
Open Access | Times Cited: 3
High-Quality Video Watermarking Based on Deep Neural Networks for Video with HEVC Compression
Maciej Kaczyński, Zbigniew Piotrowski, Dymitr Pietrow
Sensors (2022) Vol. 22, Iss. 19, pp. 7552-7552
Open Access | Times Cited: 11
Fast Fake: Easy-to-Train Face Swap Model
Tomasz Walczyna, Zbigniew Piotrowski
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2149-2149
Open Access | Times Cited: 1
A machine learning approach for digital watermarking
Mohammad Ali Nematollahi
Australian Journal of Multi-Disciplinary Engineering (2023) Vol. 19, Iss. 1, pp. 53-63
Closed Access | Times Cited: 2
Analysis of Watermarked Video Optimization and Training Based on Classification Using Deep Learning Techniques
K. Muthulakshmi, K. Valarmathi
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access
Detecting Malicious Devices in IPSEC Traffic with IPv4 Steganography
Gabriel Jekateryńczuk, Damian Jankowski, René Veyland, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3934-3934
Open Access
A comprehensive overview of deep learning based video watermarking: current works, challenges and future trends
Souha Mansour, Saoussen Ben Jabra, Ezzeddine Zagrouba
Multimedia Tools and Applications (2024)
Closed Access
Change and Detection of Emotions Expressed on People’s Faces in Photos
Zbigniew Piotrowski, Maciej Kaczyński, Tomasz Walczyna
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10681-10681
Open Access
A new efficient anaglyph 3D image and video watermarking technique minimizing generation deficiencies
Saoussen Ben Jabra, Ezzeddine Zagrouba, Mohamed Amine Ben Farah
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19433-19463
Closed Access | Times Cited: 1
A Robust and Imperceptible Dark Frame Selection Using Advanced Squeezed Convoluted Ebola Neural Network-Based Video Watermarking Scheme with All Phase Discrete Cosine Biorthogonal Transform
Haweez Showkat, Rohun Nissa, Asifa Baba
International Journal of Pattern Recognition and Artificial Intelligence (2023) Vol. 37, Iss. 13
Closed Access
An Efficient Anaglyph 3D Content based Video Retrieval using Watermarking Technique
Dorra Dhaou, Saoussen Ben Jabra, Ezzeddine Zagrouba
(2023), pp. 157-164
Closed Access
Page 1

Scroll to top