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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 matching cross-spectral periocular images for accurate biometrics identification
N. Pattabhi Ramaiah, Ajay Kumar
(2016), pp. 1-6
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Using Siamese Neural Networks to Perform Cross-System Behavioral Authentication in Virtual Reality
Robert Miller, Natasha Kholgade Banerjee, Sean Banerjee
(2021), pp. 140-149
Closed Access | Times Cited: 37
Cross-eyed 2017: Cross-spectral iris/periocular recognition competition
Ana F. Sequeira, Lulu Chen, James Ferryman, et al.
(2017), pp. 725-732
Open Access | Times Cited: 43
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
Cross-Spectral Iris Recognition by Learning Device-Specific Band
Jianze Wei, Yunlong Wang, Yi Li, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2021) Vol. 32, Iss. 6, pp. 3810-3824
Closed Access | Times Cited: 22
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 cross-spectral scenario
Sushree S. Behera, Mahesh Gour, Vivek Kanhangad, et al.
(2017) Vol. 1, pp. 681-687
Closed Access | Times Cited: 22
Variance-guided attention-based twin deep network for cross-spectral periocular recognition
Sushree S. Behera, Sapna S Mishra, Bappaditya Mandal, et al.
Image and Vision Computing (2020) Vol. 104, pp. 104016-104016
Closed Access | Times Cited: 19
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
Kevin Hernandez‐Diaz, Fernando Alonso‐Fernandez, Josef Bigün
(2020), pp. 1-9
Open Access | Times Cited: 15
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition
Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, et al.
(2018), pp. 1-7
Open Access | Times Cited: 13
Advances in Cross-Spectral Iris Recognition Using Integrated Gradientface-Based Normalization
Maulisa Oktiana, Khairun Saddami, Fitri Arnia, et al.
IEEE Access (2019) Vol. 7, pp. 130484-130494
Open Access | Times Cited: 12
Cross-spectral iris recognition using phase-based matching and homomorphic filtering
Maulisa Oktiana, Takahiko Horiuchi, Keita Hirai, et al.
Heliyon (2020) Vol. 6, Iss. 2, pp. e03407-e03407
Open Access | Times Cited: 12
Twin Deep Convolutional Neural Network-based Cross-spectral Periocular Recognition
Sushree S. Behera, Bappaditya Mandal, Niladri B. Puhan
(2020), pp. 1-6
Closed Access | Times Cited: 11
One shot learning approach for cross spectrum periocular verification
Punam Kumari, K. R. Seeja
Multimedia Tools and Applications (2023) Vol. 82, Iss. 13, pp. 20589-20604
Open Access | Times Cited: 3
Holistic Feature Reconstruction-Based 3-D Attention Mechanism for Cross-Spectral Periocular Recognition
Niladri B. Puhan, Sushree S. Behera
IEEE Transactions on Information Forensics and Security (2022) Vol. 18, pp. 435-448
Closed Access | Times Cited: 5
Cross-Spectral Periocular Recognition: A Survey
S. S. Behera, Bappaditya Mandal, N. B. Puhan
Lecture notes in electrical engineering (2019), pp. 731-741
Closed Access | Times Cited: 7
Cross-Spectral Iris Matching Using Conditional Coupled GAN
Moktari Mostofa, Fariborz Taherkhani, Jeremy Dawson, et al.
(2020), pp. 1-9
Open Access | Times Cited: 7
Improved Cross-Spectral Iris Matching Using Multi-Scale Weberface and Gabor Local Binary Pattern
Maulisa Oktiana, Khairun Saddami, Fitri Arnia, et al.
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2018)
Closed Access | Times Cited: 6
Cross-Sensor Periocular Biometrics for Partial Face Recognition in a Global Pandemic: Comparative Benchmark and Novel Multialgorithmic Approach.
Fernando Alonso‐Fernandez, Kiran Raja, Raghavendra Ramachandra, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 4
WITHDRAWN: An efficient approach for generating IRIS codes for optimally recognizing IRIS using multi objective genetic algorithm
Kamal Upreti, Ashutosh Sharma, Binu Kuriakose Vargis, et al.
Materials Today Proceedings (2020)
Closed Access | Times Cited: 4
Perturbed Attention-Assisted Siamese Network for Cross-Spectral Periocular Recognition
Sushree S. Behera, Niladri B. Puhan, Sapna S Mishra
IEEE Transactions on Biometrics Behavior and Identity Science (2022) Vol. 4, Iss. 2, pp. 210-221
Closed Access | Times Cited: 3
High Boost 3-D Attention Network for Cross-Spectral Periocular Recognition
Sushree S. Behera, Niladri B. Puhan
IEEE Sensors Letters (2022) Vol. 6, Iss. 9, pp. 1-4
Closed Access | Times Cited: 3
Approximate Multi-dimensional Discrete Cosine Transform based Deep Attention Network for Cross-spectral Periocular Recognition
Sushree S. Behera, Niladri B. Puhan
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
An Examination and Comparison of Fairness of Face and Ocular Recognition Across Gender at NIR Spectrum
Sreeraj Ramachandran, Ajita Rattani
(2024), pp. 57-84
Closed Access
A Survey on Iris Recognition Systems in Cross-Spectral Domain
Nisreen Mzehir Al-Kardhi, Ali Mohsin Al-juboori
(2023), pp. 45-50
Closed Access
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks.
Kevin Hernandez‐Diaz, Fernando Alonso‐Fernandez, Josef Bigün
arXiv (Cornell University) (2020)
Closed Access
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