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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:

Face Demorphing
Matteo Ferrara, Annalisa Franco, Davide Maltoni
IEEE Transactions on Information Forensics and Security (2017) Vol. 13, Iss. 4, pp. 1008-1017
Closed Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

Deepfakes and beyond: A Survey of face manipulation and fake detection
Rubén Tolosana, Rubén Vera-Rodríguez, Julián Fiérrez, et al.
Information Fusion (2020) Vol. 64, pp. 131-148
Open Access | Times Cited: 741
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
MorGAN: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Generative Adversarial Network
Naser Damer, Alexandra Moseguí­ Saladié, Andreas Braun, et al.
(2018), pp. 1-10
Closed Access | Times Cited: 124
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
Attacks and defenses in user authentication systems: A survey
Xuerui Wang, Zheng Yan, Rui Zhang, et al.
Journal of Network and Computer Applications (2021) Vol. 188, pp. 103080-103080
Closed Access | Times Cited: 62
Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors
Naser Damer, Cesar Augusto Fontanillo Lopez, Meiling Fang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 1605-1616
Open Access | Times Cited: 39
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
Detecting Morphed Face Images Using Facial Landmarks
Ulrich Scherhag, Dhanesh Budhrani, Marta Gomez‐Barrero, et al.
Lecture notes in computer science (2018), pp. 444-452
Closed Access | Times Cited: 61
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
Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts
Naser Damer, Viola Boller, Yaza Wainakh, et al.
Lecture notes in computer science (2019), pp. 518-534
Closed Access | Times Cited: 58
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
MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders
Naser Damer, Meiling Fang, Patrick Siebke, et al.
(2023), pp. 1-6
Open Access | Times Cited: 21
Morphed Face Detection Based on Deep Color Residual Noise
Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja, et al.
(2019)
Open Access | Times Cited: 45
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
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, et al.
(2021), pp. 1730-1740
Open Access | Times Cited: 33
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
Marco Huber, Fadi Boutros, Anh Thi Luu, et al.
(2022), pp. 1-10
Open Access | Times Cited: 25
Face de‐morphing based on identity feature transfer
Le‐Bing Zhang, Song Chen, Min Long, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Improving Accomplice Detection in the Morphing Attack
Nicolò Di Domenico, Guido Borghi, Annalisa Franco, et al.
Deleted Journal (2025)
Closed Access
The Harms of Demographic Bias in Deep Face Recognition Research
Raúl García, Lukasz Wandzik, Louisa Grabner, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 42
Performance variation of morphed face image detection algorithms across different datasets
Ulrich Scherhag, Christian Rathgeb, Christoph Busch
(2018), pp. 1-6
Closed Access | Times Cited: 39
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
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