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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:

On Recognizing Occluded Faces in the Wild
Mustafa Ekrem Erakın, Uğur Demir, Hazım Kemal Ekenel
(2021), pp. 1-5
Open Access | Times Cited: 17

Showing 17 citing articles:

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
Pietro Melzi, Rubén Tolosana, Rubén Vera-Rodríguez, et al.
Information Fusion (2024) Vol. 107, pp. 102322-102322
Open Access | Times Cited: 15
How Good Is ChatGPT at Face Biometrics? A First Look Into Recognition, Soft Biometrics, and Explainability
Ivan DeAndres-Tame, Rubén Tolosana, Rubén Vera-Rodríguez, et al.
IEEE Access (2024) Vol. 12, pp. 34390-34401
Open Access | Times Cited: 13
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Rubén Tolosana, Rubén Vera-Rodríguez, et al.
(2024), pp. 892-901
Open Access | Times Cited: 8
Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data
Ivan DeAndres-Tame, Rubén Tolosana, Pietro Melzi, et al.
Information Fusion (2025), pp. 103099-103099
Closed Access
Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
Kenny T. R. Voo, Liming Jiang, Chen Change Loy
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 4710-4719
Open Access | Times Cited: 18
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Ivan DeAndres-Tame, Rubén Tolosana, Pietro Melzi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024), pp. 3173-3183
Closed Access | Times Cited: 2
Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
Meiling Fang, Fadi Boutros, Arjan Kuijper, et al.
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (2021), pp. 1-8
Open Access | Times Cited: 17
OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions
Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, et al.
(2022), pp. 1-9
Open Access | Times Cited: 9
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka
(2021), pp. 01-08
Open Access | Times Cited: 10
Identity and War: The Role of Biometrics in the Russia-Ukraine Crisis
Mikhail Gofman, Maria Villa
International Journal on Engineering Science and Technology (2023) Vol. 5, Iss. 1, pp. 89-111
Open Access | Times Cited: 2
Analyzing the Effect of Combined Degradations on Face Recognition
Erdi Sarıtaş, Hazım Kemal Ekenel
(2024), pp. 1-5
Open Access
In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach
Luca Ciampi, Carlos Santiago, Fabrizio Falchi, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Open Access
A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition
Pedro Marques‐Vidal, Bernardo Biesseck, Luiz Coelho, et al.
(2024), pp. 151-154
Closed Access
COVID-19 Face Mask Classification Using Deep Learning
Nik Amnah Shahidah Abdul Aziz, Muhammad Firdaus Mustapha, Siti Haslini Ab Hamid
Lecture notes on data engineering and communications technologies (2023), pp. 77-91
Closed Access | Times Cited: 1
Detection of Face with Occlusion Using Deep Learning Techniques
Alok Singh Gahlot, Deepak Jangid, Ruchi Vyas
(2022), pp. 1-4
Closed Access | Times Cited: 2
A Hybrid Face Recognition Approach Using Local Appearance and Deep Models
Mert Arı, Hazım Kemal Ekenel
Communications in computer and information science (2022), pp. 211-222
Closed Access | Times Cited: 1
Extending Earth Mover's Distance to Occluded Face Verification
Pedro Marques‐Vidal, Henry Chu, Bernardo Biesseck, et al.
(2023), pp. 49-54
Closed Access
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