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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:

PRNU-based detection of morphed face images
Luca Debiasi, Ulrich Scherhag, Christian Rathgeb, et al.
(2018), pp. 1-7
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Face Recognition Systems Under Morphing Attacks: A Survey
Ulrich Scherhag, Christian Rathgeb, Johannes Merkle, et al.
IEEE Access (2019) Vol. 7, pp. 23012-23026
Open Access | Times Cited: 221
Deep Face Representations for Differential Morphing Attack Detection
Ulrich Scherhag, Christian Rathgeb, Johannes Merkle, et al.
IEEE Transactions on Information Forensics and Security (2020) Vol. 15, pp. 3625-3639
Open Access | Times Cited: 107
Detection of Face Morphing Attacks Based on PRNU Analysis
Ulrich Scherhag, Luca Debiasi, Christian Rathgeb, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2019) Vol. 1, Iss. 4, pp. 302-317
Open Access | Times Cited: 106
Face Morphing Attack Generation and Detection: A Comprehensive Survey
Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja, et al.
IEEE Transactions on Technology and Society (2021) Vol. 2, Iss. 3, pp. 128-145
Open Access | Times Cited: 97
Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking
Kiran Raja, Matteo Ferrara, Annalisa Franco, et al.
IEEE Transactions on Information Forensics and Security (2020) Vol. 16, pp. 4336-4351
Open Access | Times Cited: 73
Face morphing detection in the presence of printing/scanning and heterogeneous image sources
Matteo Ferrara, Annalisa Franco, Davide Maltoni
IET Biometrics (2021) Vol. 10, Iss. 3, pp. 290-303
Open Access | Times Cited: 65
FD-GAN: Face De-Morphing Generative Adversarial Network for Restoring Accomplice’s Facial Image
Fei Peng, Le‐Bing Zhang, Min Long
IEEE Access (2019) Vol. 7, pp. 75122-75131
Open Access | Times Cited: 70
Towards making Morphing Attack Detection robust using hybrid Scale-Space Colour Texture Features
Raghavendra Ramachandra, Sushma Venkatesh, Kiran Raja, et al.
(2019), pp. 1-8
Closed Access | Times Cited: 61
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
Sheldon Fung, Xuequan Lu, Chao Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Open Access | Times Cited: 43
Adversarial Attacks Against Face Recognition: A Comprehensive Study
Fatemeh Vakhshiteh, Ahmad Nickabadi, Raghavendra Ramachandra
IEEE Access (2021) Vol. 9, pp. 92735-92756
Open Access | Times Cited: 41
PRNU‐based detection of facial retouching
Christian Rathgeb, Angelika Botaljov, Fabian Stockhardt, et al.
IET Biometrics (2020) Vol. 9, Iss. 4, pp. 154-164
Open Access | Times Cited: 49
Morphed Face Detection Based on Deep Color Residual Noise
Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja, et al.
(2019)
Open Access | Times Cited: 45
Face Recognition Vendor Test (FRVT) part 4:
Mei Ngan, Patrick Grother, Kayee Hanaoka, et al.
(2020)
Open Access | Times Cited: 42
Accurate and robust neural networks for face morphing attack detection
Clemens Seibold, Wojciech Samek, Anna Hilsmann, et al.
Journal of Information Security and Applications (2020) Vol. 53, pp. 102526-102526
Open Access | Times Cited: 40
PRNU-based Deepfake Detection
Florian Lugstein, Simon Baier, Gregor Bachinger, et al.
(2021)
Closed Access | Times Cited: 34
PRNU Variance Analysis for Morphed Face Image Detection
Luca Debiasi, Christian Rathgeb, Ulrich Scherhag, et al.
(2018), pp. 1-9
Closed Access | Times Cited: 38
Border Control Morphing Attack Detection with a Convolutional Neural Network De-morphing Approach
David Ortega-delCampo, Cristina Conde, Daniel Palacios‐Alonso, et al.
IEEE Access (2020), pp. 1-1
Open Access | Times Cited: 37
Face Authenticity: An Overview of Face Manipulation Generation, Detection and Recognition
Zahid Akhtar, Dipankar Dasgupta, Bonny Banerjee
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 30
Single Image Face Morphing Attack Detection Using Ensemble of Features
Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 29
MorDeephy: Face Morphing Detection via Fused Classification
Iurii Medvedev, Farhad Shadmand, Nuno Gonçalves
(2023), pp. 193-204
Open Access | Times Cited: 9
A Comprehensive Survey on Methods for Image Integrity
Paola Capasso, Giuseppe Cattaneo, Maria De Marsico
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 11, pp. 1-34
Open Access | Times Cited: 9
On the Detection of GAN-Based Face Morphs Using Established Morph Detectors
Luca Debiasi, Naser Damer, Alexandra Moseguí­ Saladié, et al.
Lecture notes in computer science (2019), pp. 345-356
Closed Access | Times Cited: 28
A Face Morphing Detection Concept with a Frequency and a Spatial Domain Feature Space for Images on eMRTD
Tom Neubert, Christian Kraetzer, Jana Dittmann
(2019), pp. 95-100
Open Access | Times Cited: 26
Face morph detection for unknown morphing algorithms and image sources: a multi‐scale block local binary pattern fusion approach
Ulrich Scherhag, Jonas Kunze, Christian Rathgeb, et al.
IET Biometrics (2020) Vol. 9, Iss. 6, pp. 278-289
Open Access | Times Cited: 26
Single Morphing Attack Detection Using Feature Selection and Visualization Based on Mutual Information
Juan Tapia, Christoph Busch
IEEE Access (2021) Vol. 9, pp. 167628-167641
Open Access | Times Cited: 17
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