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:

Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks
Hugo Proença, João C. Neves
IEEE Transactions on Information Forensics and Security (2017) Vol. 13, Iss. 4, pp. 888-896
Open Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Deep Learning for Iris Recognition: A Survey
Kien Nguyen, Hugo Proença, Fernando Alonso‐Fernandez
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-35
Open Access | Times Cited: 21

Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices
Qi Zhang, Haiqing Li, Zhenan Sun, et al.
IEEE Transactions on Information Forensics and Security (2018) Vol. 13, Iss. 11, pp. 2897-2912
Closed Access | Times Cited: 151

Improving Periocular Recognition by Explicit Attention to Critical Regions in Deep Neural Network
Zijing Zhao, Ajay Kumar
IEEE Transactions on Information Forensics and Security (2018) Vol. 13, Iss. 12, pp. 2937-2952
Closed Access | Times Cited: 92

Person identification using fusion of iris and periocular deep features
Saiyed Umer, Alamgir Sardar, Bibhas Chandra Dhara, et al.
Neural Networks (2019) Vol. 122, pp. 407-419
Open Access | Times Cited: 66

Deep Multi-class Eye Segmentation for Ocular Biometrics
Peter Rot, Žiga Emeršič, Vitomir Štruc, et al.
(2018), pp. 1-8
Closed Access | Times Cited: 60

Deep Sclera Segmentation and Recognition
Peter Rot, Matej Vitek, Klemen Grm, et al.
Advances in computer vision and pattern recognition (2019), pp. 395-432
Closed Access | Times Cited: 48

An approach for iris contact lens detection and classification using ensemble of customized DenseNet and SVM
Meenakshi Choudhary, Vivek Tiwari, U. Venkanna
Future Generation Computer Systems (2019) Vol. 101, pp. 1259-1270
Closed Access | Times Cited: 47

Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation
Fadi Boutros, Naser Damer, Kiran Raja, et al.
Image and Vision Computing (2020) Vol. 104, pp. 104007-104007
Closed Access | Times Cited: 44

Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition
Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022)
Closed Access | Times Cited: 22

Enhance Biometric Authentication: Integrating Iris and Periocular Verification Through Support Vector Classification
Oranus Kotsuwan, Chakapat Chokchaisiri, Waree Kongprawechnon, et al.
Lecture notes in computer science (2025), pp. 163-173
Closed Access

Periocular biometrics: A survey
Punam Kumari, K. R. Seeja
Journal of King Saud University - Computer and Information Sciences (2019) Vol. 34, Iss. 4, pp. 1086-1097
Open Access | Times Cited: 40

Fully Convolutional Networks and Generative Adversarial Networks Applied to Sclera Segmentation
Diego Rafael Lucio, Rayson Laroca, Evair Borges Severo, et al.
(2018) Vol. abs 1612 7695, pp. 1-7
Open Access | Times Cited: 38

Periocular Biometrics
Kiran Raja, Raghavendra Ramachandra, Christoph Busch
(2025), pp. 1793-1796
Closed Access

Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning
Pedro H. Silva, Eduardo Luz, Luiz A. Zanlorensi, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2018), pp. 1-8
Closed Access | Times Cited: 36

Periocular-Assisted Multi-Feature Collaboration for Dynamic Iris Recognition
Kuo Wang, Ajay Kumar
IEEE Transactions on Information Forensics and Security (2020) Vol. 16, pp. 866-879
Closed Access | Times Cited: 31

Periocular biometrics and its relevance to partially masked faces: A survey
Renu Sharma, Arun Ross
Computer Vision and Image Understanding (2022) Vol. 226, pp. 103583-103583
Open Access | Times Cited: 17

Periocular Biometrics: A Modality for Unconstrained Scenarios
Fernando Alonso‐Fernandez, Josef Bigün, Julián Fiérrez, et al.
Computer (2024) Vol. 57, Iss. 6, pp. 40-49
Open Access | Times Cited: 3

Periocular Recognition in the Wild With Generalized Label Smoothing Regularization
Yoon Gyo Jung, Cheng Yee Low, Jaewoo Park, et al.
IEEE Signal Processing Letters (2020) Vol. 27, pp. 1455-1459
Closed Access | Times Cited: 25

Cross-sensor periocular biometrics in a global pandemic: Comparative benchmark and novel multialgorithmic approach
Fernando Alonso‐Fernandez, Kiran Raja, Raghavendra Ramachandra, et al.
Information Fusion (2022) Vol. 83-84, pp. 110-130
Open Access | Times Cited: 15

Periocular Recognition in the Wild: Implementation of RGB-OCLBCP Dual-Stream CNN
Leslie Ching Ow Tiong, Yunli Lee, Andrew Beng Jin Teoh
Applied Sciences (2019) Vol. 9, Iss. 13, pp. 2709-2709
Open Access | Times Cited: 25

Deep representations for cross‐spectral ocular biometrics
Luiz A. Zanlorensi, Diego Rafael Lucio, Alceu de Souza Britto, et al.
IET Biometrics (2019) Vol. 9, Iss. 2, pp. 68-77
Open Access | Times Cited: 25

Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition
Hugo Proença, João C. Neves
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2019), pp. 2296-2305
Closed Access | Times Cited: 23

Computational Intelligence for Information Security: A Survey
Ruili Wang, Wanting Ji
IEEE Transactions on Emerging Topics in Computational Intelligence (2020) Vol. 4, Iss. 5, pp. 616-629
Closed Access | Times Cited: 23

Generalizable deep features for ocular biometrics
Narsi Reddy, Ajita Rattani, Reza Derakhshani
Image and Vision Computing (2020) Vol. 103, pp. 103996-103996
Closed Access | Times Cited: 23

Deep Feature Collaboration for Challenging 3D Finger Knuckle Identification
Kevin H. M. Cheng, Ajay Kumar
IEEE Transactions on Information Forensics and Security (2020) Vol. 16, pp. 1158-1173
Closed Access | Times Cited: 21

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