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:

3D CNN Architectures and Attention Mechanisms for Deepfake Detection
Ritaban Roy, Indu Joshi, Abhijit Das, et al.
Advances in computer vision and pattern recognition (2022), pp. 213-234
Open Access | Times Cited: 20

Showing 20 citing articles:

Examining the Societal Impact and Legislative Requirements of Deepfake Technology: A Comprehensive Study
Sami Alanazi, S. A. Syed Asif, Irene Moulitsas
International Journal of Social Science and Humanity (2024)
Open Access | Times Cited: 7
A defensive attention mechanism to detect deepfake content across multiple modalities
S. Asha, P. Vinod, Varun G. Menon
Multimedia Systems (2024) Vol. 30, Iss. 1
Closed Access | Times Cited: 5
ResNet-Swish-Dense54: a deep learning approach for deepfakes detection
Marriam Nawaz, Ali Javed, Aun Irtaza
The Visual Computer (2022) Vol. 39, Iss. 12, pp. 6323-6344
Closed Access | Times Cited: 19
Spatial-temporal transformer network for protecting person-of-interest from deepfaking
Dingyu Lu, Zihou Liu, Dongming Zhang, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Open Access
WaveConViT: Wavelet-Based Convolutional Vision Transformer for Cross-Manipulation Deepfake Video Detection
Mehdi Atamna, Iuliia Tkachenko, Serge Miguet
Lecture notes in computer science (2025), pp. 211-225
Open Access
Convolutional long short-term memory-based approach for deepfakes detection from videos
Marriam Nawaz, Ali Javed, Aun Irtaza
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 16977-17000
Closed Access | Times Cited: 8
On the effectiveness of handcrafted features for deepfake video detection
Bachir Kaddar, Sid Ahmed Fezza, Wassim Hamidouche, et al.
Journal of Electronic Imaging (2023) Vol. 32, Iss. 05
Closed Access | Times Cited: 7
Integrating 3dcnn Attention Mechanism with Pose Estimation for Indoor Fall Detection
Ruchi Jayaswal, Anchal Pathak, Smita Mahajan
(2024)
Closed Access | Times Cited: 1
Enhancing Deepfake Detection using SE Block Attention with CNN
Subhram Dasgupta, Janelle Mason, Xiaohong Yuan, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Deepfake attack prevention using steganography GANs
Iram Noreen, Muhammad Shahid Muneer, Saira Gillani
PeerJ Computer Science (2022) Vol. 8, pp. e1125-e1125
Open Access | Times Cited: 5
Demystifying Attention Mechanisms for Deepfake Detection
Abhijit Das, Srijan Das, Antitza Dantcheva
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (2021), pp. 1-7
Open Access | Times Cited: 7
Significance of Convolutional Neural Network in Fake Content Detection: A Systematic Survey
Pummy Dhiman, Amandeep Kaur
Lecture notes in electrical engineering (2023), pp. 305-316
Closed Access | Times Cited: 2
Improving Generalization in Facial Manipulation Detection Using Image Noise Residuals and Temporal Features
Mehdi Atamna, Iuliia Tkachenko, Serge Miguet
2022 IEEE International Conference on Image Processing (ICIP) (2023), pp. 3424-3428
Open Access | Times Cited: 2
Attention-based Multimodal learning framework for Generalized Audio- Visual Deepfake Detection
Momina Masood, Ali Javed, Aun Irtaza
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data
Mane Margaryan, Matthias Seibold, Indu Joshi, et al.
Lecture notes in electrical engineering (2023), pp. 389-398
Closed Access | Times Cited: 2
Unmasking Deepfakes - Harnessing the Potential of 2D and 3D Convolutional Neural Network Ensembles
Aagam Bakliwal, Amit D. Joshi, Ninad Deo, et al.
(2024), pp. 1-6
Closed Access
Enhanced Multi-Model Approach for Motion and Violence Detection using Deep Learning Methods Using Open World Video Game Dataset
Vedant Agarwal, Mehakdeep Singh, Boppuru Rudra Prathap
(2024), pp. 1-6
Closed Access
Leveraging Explainable Artificial Intelligence for Understanding the Effect of Model Capacity on Training Dataset Size
Tushar Prakash, Tashvik Dhamija, Rohit Kumar, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 1
Spatial-temporal transformer network for protecting person-of-interest from deepfaking
Dingyu Lu, Dongming Zhang, Jing Zhang, et al.
Research Square (Research Square) (2023)
Open Access
Bi-source Reconstruction based Classification Network for Face Forgery Video Detection
Dongming Zhang, Chenqin Fu, Dingyu Lu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 6, pp. 4257-4269
Closed Access
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
Pranav Balaji, Abhijit Das, Srijan Das, et al.
(2023), pp. 475-484
Open Access
Page 1

Scroll to top