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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:

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

Showing 23 citing articles:

Deep semantic segmentation of natural and medical images: a review
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Cohen, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 1, pp. 137-178
Closed Access | Times Cited: 680
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
João C. Neves, Rubén Tolosana, Rubén Vera-Rodríguez, et al.
IEEE Journal of Selected Topics in Signal Processing (2020) Vol. 14, Iss. 5, pp. 1038-1048
Open Access | Times Cited: 150
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: 19
The Security-Utility Trade-off for Iris Authentication and Eye Animation for Social Virtual Avatars
Brendan John, Sophie Jörg, Sanjeev J. Koppal, et al.
IEEE Transactions on Visualization and Computer Graphics (2020) Vol. 26, Iss. 5, pp. 1880-1890
Open Access | Times Cited: 32
Deep learning based authentication schemes for smart devices in different modalities: progress, challenges, performance, datasets and future directions
Shailendra W. Shende, Jitendra V. Tembhurne, Nishat Afshan Ansari
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71451-71493
Closed Access | Times Cited: 3
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
Enhanced Iris Recognition Method by Generative Adversarial Network-Based Image Reconstruction
Min Beom Lee, Jin Kyu Kang, Hyo Sik Yoon, et al.
IEEE Access (2021) Vol. 9, pp. 10120-10135
Open Access | Times Cited: 23
An Efficient and Accurate Iris Recognition Algorithm Based on a Novel Condensed 2-ch Deep Convolutional Neural Network
Guoyang Liu, Weidong Zhou, Tian Lan, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3721-3721
Open Access | Times Cited: 21
A new periocular dataset collected by mobile devices in unconstrained scenarios
Luiz A. Zanlorensi, Rayson Laroca, Diego Rafael Lucio, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Using Artificial Intelligence Applications For E-Government Services As Iris Recognition
Mohammad Ali Al Qudah, Leyla Muradkhanli, Zeynab Muradkhanli, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 6
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Cohen, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 17
Segmentation-free Direct Iris Localization Networks
T. Toizumi, Koichi Takahashi, Masato Tsukada
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 991-1000
Open Access | Times Cited: 5
Deep Convolutional Neural Network for Finger-Knuckle-Print Recognition
Abbas Zohrevand, Zahra Imani, Mehdi Ezoji
International Journal of Engineering (2021) Vol. 34, Iss. 7
Open Access | Times Cited: 11
Ocular recognition databases and competitions: a survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 129-180
Closed Access | Times Cited: 10
Iris segmentation in uncooperative and unconstrained environments: State-of-the-art, datasets and future research directions
Hala N. Fathee, Shaaban Sahmoud
Digital Signal Processing (2021) Vol. 118, pp. 103244-103244
Closed Access | Times Cited: 9
UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios.
Luiz A. Zanlorensi, Rayson Laroca, Diego Rafael Lucio, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 5
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
João C. Neves, Rubén Tolosana, Rubén Vera-Rodríguez, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 5
Ocular Recognition Databases and Competitions: A Survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 4
Iris Recognition
Anil K. Jain, Arun Ross, Karthik Nandakumar, et al.
Texts in computer science (2024), pp. 175-214
Closed Access
Segmentation-Aware and Adaptive Iris Recognition
Kuo Wang, Ajay Kumar
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
GAN Fingerprints in Face Image Synthesis
João C. Neves, Rubén Tolosana, Rubén Vera-Rodríguez, et al.
Advances in computer vision and pattern recognition (2022), pp. 175-204
Closed Access | Times Cited: 1
Non-segmentation and Deep-Learning Frameworks for Iris Recognition
Wenqiang Wu, Ying Chen, Zhuang Zeng
Lecture notes in computer science (2021), pp. 325-334
Closed Access | Times Cited: 1
YOLO NFPEM: A More Accurate Iris Detector
Xiangyu Ge, Chao Yin, Qianxiang Zhou, et al.
Lecture notes in computer science (2023), pp. 453-466
Closed Access
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