OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Fingerprint Image Segmentation Using Modified Fuzzy C-Means Algorithm
Jiayin Kang, Wenjuan Zhang
(2009), pp. 1-4
Closed Access | Times Cited: 11

Showing 11 citing articles:

Chaotic firefly algorithm-based fuzzy C-means algorithm for segmentation of brain tissues in magnetic resonance images
Partha Ghosh, Kalyani Mali, Sitansu Kumar Das
Journal of Visual Communication and Image Representation (2018) Vol. 54, pp. 63-79
Closed Access | Times Cited: 31

Multiobjective improved spatial fuzzy c-means clustering for image segmentation combining Pareto-optimal clusters
Ahmed Nasreddine Benaichouche, Hamouche Oulhadj, Patrick Siarry
Journal of Heuristics (2014) Vol. 22, Iss. 4, pp. 383-404
Closed Access | Times Cited: 14

A Novel Dynamic Fingerprint Segmentation Method Based on Fuzzy C-Means and Genetic Algorithm
Wu Lei, Lin You
IEEE Access (2020) Vol. 8, pp. 132694-132702
Open Access | Times Cited: 9

Fingerprint Segmentation via Convolutional Neural Networks
Xiaowei Dai, Jie Liang, Qijun Zhao, et al.
Lecture notes in computer science (2017), pp. 324-333
Closed Access | Times Cited: 9

Robust Clustering-based Segmentation Methods for Fingerprint Recognition
Pedro M. Ferreira, Ana F. Sequeira, Jaime S. Cardoso, et al.
(2018) Vol. abs 1011 3177, pp. 1-5
Open Access | Times Cited: 4

A Novel Fingerprint Segmentation Method by Introducing Efficient Features and Robust Clustering Assignment Technique
Abderraouf Zaimen, Saad Bouguezel
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 9, pp. 13045-13059
Closed Access

Unveiling the Power of Simplicity: Two Remarkably Effective Methods for Fingerprint Segmentation
Raffaele Cappelli
IEEE Access (2023) Vol. 11, pp. 144530-144544
Open Access | Times Cited: 1

Segmentation of fingerprint images based on bi-level processing using fuzzy rules
Hasan Fleyeh, Erfan Davami, Diala Jomaa
(2012), pp. 1-6
Closed Access | Times Cited: 2

Mejora de contraste de imagenes de mamografía mediante procesamiento digital de imagen
J. Quintanilla-Domínguez, B. Ojeda‐Magaña, R. Ruelas, et al.
Journal of Scientific and Technical Applications (2019), pp. 19-28
Open Access | Times Cited: 1

Page 1

Scroll to top