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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:

Learning Pairwise Interaction for Generalizable DeepFake Detection
Ying Xu, Kiran Raja, Luisa Verdoliva, et al.
(2023), pp. 1-11
Open Access | Times Cited: 25

Showing 25 citing articles:

DeepFake detection based on high-frequency enhancement network for highly compressed content
Jie Gao, Zhaoqiang Xia, Gian Luca Marcialis, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123732-123732
Open Access | Times Cited: 10
Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection
Jie Gao, Marco Micheletto, Giulia Orrù, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108450-108450
Open Access | Times Cited: 8
MCS-GAN: A Different Understanding for Generalization of Deep Forgery Detection
Shuai Xiao, Guipeng Lan, Jiachen Yang, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 1333-1345
Closed Access | Times Cited: 17
Weakly-supervised deepfake localization in diffusion-generated images
Dragoş-Constantin Ţânţaru, Elisabeta Oneaţă, Dan Oneață
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 6246-6256
Open Access | Times Cited: 6
Head Pose Estimation Patterns as Deepfake Detectors
Federico Becattini, Carmen Bisogni, Vincenzo Loia, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 11, pp. 1-24
Open Access | Times Cited: 15
Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media
Shavez Mushtaq Qureshi, Atif Saeed, Sultan H. Almotiri, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2037-e2037
Open Access | Times Cited: 5
FSBI: Deepfake detection with frequency enhanced self-blended images
Ahmed Abul Hasanaath, Hamzah Luqman, RAED FAROUQ KATIB, et al.
Image and Vision Computing (2025), pp. 105418-105418
Closed Access
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Ying Xu, Philipp Terhörst, Marius Pedersen, et al.
IEEE Transactions on Technology and Society (2024) Vol. 5, Iss. 1, pp. 93-106
Open Access | Times Cited: 3
Face manipulated deepfake generation and recognition approaches: a survey
Mansi Rehaan, Nirmal Kaur, Staffy Kingra
Smart Science (2023) Vol. 12, Iss. 1, pp. 53-73
Closed Access | Times Cited: 5
ExplaNET: A Descriptive Framework for Detecting Deepfakes With Interpretable Prototypes
Fatima Khalid, Ali Javed, Khalid Mahmood Malik, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2024) Vol. 6, Iss. 4, pp. 486-497
Closed Access | Times Cited: 1
Fake news or real? Detecting deepfake videos using geometric facial structure and graph neural network
Shahela Saif, Samabia Tehseen, Syed Sohaib Ali
Technological Forecasting and Social Change (2024) Vol. 205, pp. 123471-123471
Closed Access | Times Cited: 1
FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
Ahmed Abul Hasanaath, Hamzah Luqman, RAED FAROUQ KATIB, et al.
(2024)
Open Access | Times Cited: 1
ConvNext-PNet: An interpretable and explainable deep-learning model for deepfakes detection
Hafsa Ilyas, Ali Javed, Khalid Mahmood Malik
(2024), pp. 1-9
Closed Access | Times Cited: 1
"Better Be Computer or I'm Dumb": A Large-Scale Evaluation of Humans as Audio Deepfake Detectors
Kevin Warren, Tyler Tucker, Adèle A. Crowder, et al.
(2024), pp. 2696-2710
Open Access | Times Cited: 1
Enhancing practicality and efficiency of deepfake detection
Ismael Balafrej, Mohamed Dahmane
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
DIFLD: domain invariant feature learning to detect low-quality compressed face forgery images
Yan Zou, Chaoyang Luo, Jianxun Zhang
Complex & Intelligent Systems (2023) Vol. 10, Iss. 1, pp. 357-368
Open Access | Times Cited: 3
Undercover Deepfakes: Detecting Fake Segments in Videos
Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, et al.
(2023), pp. 415-425
Open Access | Times Cited: 3
A survey on deepfake video detection datasets
Md Fahimuzzman Sohan, Md Solaiman, Md Aumit Hasan
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 32, Iss. 2, pp. 1168-1168
Open Access | Times Cited: 2
Enhancing Practicality and Efficiency of Deepfake Detection.
Ismael Balafrej, Mohamed Dahmane
Research Square (Research Square) (2024)
Open Access
Research on the Face Forgery Detection Model Based on Adversarial Training and Disentanglement
Yidi Wang, Hui Fu, Tongkai Wu
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4702-4702
Open Access
Fsbi: Deepfakes Detection with Frequency Enhanced Self-Blended Images
Ahmed Abul Hasanaath, Hamzah Luqman, RAED FAROUQ KATIB, et al.
(2024)
Open Access
Development of Deepfake Detection Techniques for Protecting Multimedia Information using Deep Learning
N Siva Rama Lingham, J. Jude Moses Anto Devakanth, Gowtham Raj, et al.
(2024), pp. 786-791
Closed Access
Convergence of Deep Learning and Forensic Methodologies Using Self-attention Integrated EfficientNet Model for Deep Fake Detection
Rimjhim Padam Singh, Nichenametla Hima Sree, Koti Leela Sai Praneeth Reddy, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed 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
DFP-Net: An explainable and trustworthy framework for detecting deepfakes using interpretable prototypes
Fatima Khalid, Ali Javed, Khalid Mahmood Malik, et al.
(2023), pp. 1-9
Closed Access
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