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 asymmetric nonnegative matrix factorization for graph clustering
Akram Hajiveiseh, Seyed Amjad Seyedi, Fardin Akhlaghian Tab
Pattern Recognition (2023) Vol. 148, pp. 110179-110179
Closed Access | Times Cited: 18

Showing 18 citing articles:

Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering
Wei Guo, Hangjun Che, Man-Fai Leung
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 2, pp. 4767-4784
Closed Access | Times Cited: 29

Multi-label feature selection with global and local label correlation
Mohammad Jamil Faraji, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123198-123198
Closed Access | Times Cited: 15

Unsupervised feature selection using orthogonal encoder-decoder factorization
Maryam Mozafari, Seyed Amjad Seyedi, Rojiar Pir Mohammadiani, et al.
Information Sciences (2024) Vol. 663, pp. 120277-120277
Closed Access | Times Cited: 10

Robust self supervised symmetric nonnegative matrix factorization to the graph clustering
Yi Ru, Michael Grüninger, Yong Dou
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Deep clustering via dual-supervised multi-kernel mapping
Lina Ren, Ruizhang Huang, Shengwei Ma, et al.
Pattern Recognition (2025), pp. 111419-111419
Closed Access

One-hot constrained symmetric nonnegative matrix factorization for image clustering
Jie Li, Chaoqian Li
Pattern Recognition (2025) Vol. 162, pp. 111427-111427
Closed Access

Representation Auto-fused NMF based Hierarchical Clustering
Yunxia Lin, Hang-Rui Hu, Bentian Li, et al.
Expert Systems with Applications (2025), pp. 127560-127560
Closed Access

Auto-adjustable dual-information graph regularized NMF for multiview data clustering
Shuo Li, Chen Yang, Hui Guo
Pattern Recognition (2025), pp. 111679-111679
Closed Access

Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering
Xiaojun Yang, Tuoji Zhu, Siyuan Peng, et al.
Pattern Recognition (2024) Vol. 157, pp. 110933-110933
Closed Access | Times Cited: 3

Diverse joint nonnegative matrix tri-factorization for attributed graph clustering
Arina Mohammadi, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, et al.
Applied Soft Computing (2024) Vol. 164, pp. 112012-112012
Closed Access | Times Cited: 2

Hierarchical Object Part Learning Using Deep Lp Smooth Symmetric Non-Negative Matrix Factorization
Shunli Li, Chunli Song, Linzhang Lu, et al.
Symmetry (2024) Vol. 16, Iss. 3, pp. 312-312
Open Access | Times Cited: 1

Enhancing link prediction through adversarial training in deep Nonnegative Matrix Factorization
Reza Mahmoodi, Seyed Amjad Seyedi, Alireza Abdollahpouri, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108641-108641
Closed Access | Times Cited: 1

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
Lecture notes in computer science (2024), pp. 284-296
Closed Access

Integrating topology and content equally in non-negative matrix factorization for community detection
Ge Luo, Zhili Zhao, Shifa Liu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124713-124713
Closed Access

Tensorial bipartite graph clustering based on logarithmic coupled penalty
Chang Liu, Hongbing Zhang, Hongtao Fan, et al.
Pattern Recognition (2024) Vol. 156, pp. 110860-110860
Closed Access

View-shuffled clustering via the modified Hungarian algorithm
Wenhua Dong, Xiao‐Jun Wu, Tianyang Xu, et al.
Neural Networks (2024) Vol. 179, pp. 106602-106602
Closed Access

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