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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:

Efficient dynamic graph construction for inductive semi-supervised learning
Fadi Dornaika, R. Dahbi, Alireza Bosaghzadeh, et al.
Neural Networks (2017) Vol. 94, pp. 192-203
Closed Access | Times Cited: 25

Showing 25 citing articles:

A survey on data‐efficient algorithms in big data era
Amina Adadi
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 224
Graph-based semi-supervised learning: A review
Yanwen Chong, Yun Ding, Qing Yan, et al.
Neurocomputing (2020) Vol. 408, pp. 216-230
Closed Access | Times Cited: 150
A survey on semi-supervised graph clustering
Fatemeh Daneshfar, Sayvan Soleymanbaigi, P. Yamini, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108215-108215
Closed Access | Times Cited: 19
Deep graph learning for semi-supervised classification
Guangfeng Lin, Xiaobing Kang, Kaiyang Liao, et al.
Pattern Recognition (2021) Vol. 118, pp. 108039-108039
Open Access | Times Cited: 31
Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation
Najmeh Ziraki, Fadi Dornaika, Alireza Bosaghzadeh
Neural Networks (2021) Vol. 146, pp. 174-180
Open Access | Times Cited: 31
Joint auto-weighted graph fusion and scalable semi-supervised learning
Saeedeh Bahrami, Fadi Dornaika, Alireza Bosaghzadeh
Information Fusion (2020) Vol. 66, pp. 213-228
Closed Access | Times Cited: 31
Fast semi-supervised discriminant analysis for binary classification of large data sets
Joris Tavernier, Jaak Simm, Karl Meerbergen, et al.
Pattern Recognition (2019) Vol. 91, pp. 86-99
Open Access | Times Cited: 14
Joint graph and reduced flexible manifold embedding for scalable semi-supervised learning
Z. Ibrahim, Alireza Bosaghzadeh, F. Dornaika
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9471-9495
Closed Access | Times Cited: 4
Multi-similarity semi-supervised manifold embedding for facial attractiveness scoring
F. Dornaika
Soft Computing (2023) Vol. 27, Iss. 8, pp. 5099-5108
Closed Access | Times Cited: 4
Robust and sparse label propagation for graph-based semi-supervised classification
Zhiwen Hua, Youlong Yang
Applied Intelligence (2021) Vol. 52, Iss. 3, pp. 3337-3351
Closed Access | Times Cited: 9
Multi-View Graph Fusion for Semi-Supervised Learning: Application to Image-Based Face Beauty Prediction
Fadi Dornaika, Abdelmalik Moujahid
Algorithms (2022) Vol. 15, Iss. 6, pp. 207-207
Open Access | Times Cited: 6
Incremental and dynamic graph construction with application to image classification
Alireza Bosaghzadeh, Fadi Dornaika
Expert Systems with Applications (2019) Vol. 144, pp. 113117-113117
Closed Access | Times Cited: 8
Node influence-based label propagation algorithm for semi-supervised learning
Zhiwen Hua, Youlong Yang, Haiquan Qiu
Neural Computing and Applications (2020) Vol. 33, Iss. 7, pp. 2753-2768
Closed Access | Times Cited: 7
Inductive Multi-View Semi-supervised Learning with a Consensus Graph
Najmeh Ziraki, Alireza Bosaghzadeh, F. Dornaika, et al.
Cognitive Computation (2023) Vol. 15, Iss. 3, pp. 904-913
Closed Access | Times Cited: 2
Online Filtering over Expanding Graphs
Bishwadeep Das, Elvin Isufi
2014 48th Asilomar Conference on Signals, Systems and Computers (2022), pp. 43-47
Open Access | Times Cited: 4
Active Two Phase Collaborative Representation Classifier
Fadi Dornaika
ACM Transactions on Knowledge Discovery from Data (2019) Vol. 13, Iss. 4, pp. 1-10
Closed Access | Times Cited: 5
Structured sparse graphs using manifold constraints for visual data analysis
Fadi Dornaika, Libo Weng, Zhong Jin
Neurocomputing (2018) Vol. 315, pp. 107-114
Closed Access | Times Cited: 4
Link Graph and Data-Driven Graphs as Complex Networks: Comparative Study
Vasilii A. Gromov
Communications in computer and information science (2024), pp. 120-129
Closed Access
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology
Fadi Dornaika, Z. Ibrahim, Alireza Bosaghzadeh
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 5, pp. 1-18
Closed Access
Graph-Based Semi-supervised Learning for Multi-view Data Analysis
Najmeh Ziraki, Fadi Dornaika, Alireza Bosaghzadeh, et al.
(2024), pp. 181-200
Closed Access
Proposals for local basis selection for the sparse representation-based classifier
Fadi Dornaika, Y. El Traboulsi
Signal Image and Video Processing (2018) Vol. 12, Iss. 8, pp. 1595-1601
Closed Access | Times Cited: 1
Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix
Efstratios Kakaletsis, Olga Zoidi, Ioannis Tsingalis, et al.
Signal Processing Image Communication (2018) Vol. 67, pp. 199-209
Closed Access | Times Cited: 1
Overcoming graph topology imbalance for inductive and scalable semi-supervised learning
Fadi Dornaika, Z. Ibrahim, Alireza Bosaghzadeh
Applied Soft Computing (2023) Vol. 151, pp. 111164-111164
Open Access
Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding
F. Dornaika, Jihad Jaam, Alireza Bosaghzadeh, et al.
(2023), pp. 1-6
Closed Access
Joint Graph and Reduced Flexible Manifold Embedding for Scalable Semi-Supervised Learning
Z. Ibrahim, Alireza Bosaghzadeh, F. Dornaika
SSRN Electronic Journal (2022)
Closed Access
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