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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:

Netpro2vec: A Graph Embedding Framework for Biomedical Applications
Ichcha Manipur, Mario Manzo, Ilaria Granata, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 2, pp. 729-740
Closed Access | Times Cited: 23

Showing 23 citing articles:

Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?
Oumaima Moutik, Hiba Sekkat, Smail Tigani, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 734-734
Open Access | Times Cited: 62
Light-Dermo: A Lightweight Pretrained Convolution Neural Network for the Diagnosis of Multiclass Skin Lesions
Abdul Rauf Baig, Qaisar Abbas, Riyad Almakki, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 385-385
Open Access | Times Cited: 19
SA-SGRU: Combining Improved Self-Attention and Skip-GRU for Text Classification
Huang Yuan, Dai Xiao-hong, Junhao Yu, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1296-1296
Open Access | Times Cited: 15
Sensitivity pruner: Filter-Level compression algorithm for deep neural networks
Suhan Guo, Bilan Lai, Suorong Yang, et al.
Pattern Recognition (2023) Vol. 140, pp. 109508-109508
Closed Access | Times Cited: 12
A survey on graph embedding techniques for biomedical data: Methods and applications
Yaozu Wu, Yankai Chen, Zhishuai Yin, et al.
Information Fusion (2023) Vol. 100, pp. 101909-101909
Closed Access | Times Cited: 11
Graph embedding on mass spectrometry- and sequencing-based biomedical data
Edwin Alvarez-Mamani, Reinhard Dechant, César Beltrán, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Community Detection in Protein-Protein Interaction Networks and Applications
Ichcha Manipur, Maurizio Giordano, Marina Piccirillo, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 20, Iss. 1, pp. 217-237
Closed Access | Times Cited: 25
Coronary heart disease prediction method fusing domain-adaptive transfer learning with graph convolutional networks (GCN)
Huizhong Lin, Kaizhi Chen, Yutao Xue, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Whole-Graph Embedding and Adversarial Attacks for Life Sciences
Lucia Maddalena, Maurizio Giordano, Mario Manzo, et al.
Springer eBooks (2022), pp. 1-21
Closed Access | Times Cited: 9
Property graph representation learning for node classification
Li Shu, Nayyar A. Zaidi, Meijie Du, et al.
Knowledge and Information Systems (2023) Vol. 66, Iss. 1, pp. 237-265
Open Access | Times Cited: 4
Adversarial attacks on graph-level embedding methods: a case study
Maurizio Giordano, Lucia Maddalena, Mario Manzo, et al.
Annals of Mathematics and Artificial Intelligence (2022) Vol. 91, Iss. 2-3, pp. 259-285
Open Access | Times Cited: 6
Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis
Mario Manzo, Maurizio Giordano, Lucia Maddalena, et al.
Studies in computational intelligence (2023), pp. 117-145
Closed Access | Times Cited: 2
Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models
Mario Manzo, Maurizio Giordano, Lucia Maddalena, et al.
Lecture notes in computer science (2021), pp. 219-236
Closed Access | Times Cited: 5
Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion
Mohammad Shekaramiz, Todd K. Moon
Entropy (2023) Vol. 25, Iss. 3, pp. 511-511
Open Access | Times Cited: 1
Grier: graph repairing based on iterative embedding and rules
Chen Ye, Hong Kun Xu, Hua Zhang, et al.
Knowledge and Information Systems (2023) Vol. 65, Iss. 8, pp. 3273-3294
Closed Access | Times Cited: 1
Graph neural architecture prediction
Jianliang Gao, Babatounde Moctard Oloulade, Raeed Al-Sabri, et al.
Knowledge and Information Systems (2023)
Closed Access | Times Cited: 1
3-D Gait Identification Utilizing Latent Canonical Covariates Consisting of Gait Features
Ramiz Görkem Birdal, Ahmet Sertbaş
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 3, pp. 2727-2744
Open Access | Times Cited: 1
TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-Scale Metabolic Models
Ilaria Granata, Ichcha Manipur, Maurizio Giordano, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 2
Recommendation algorithm based on attributed multiplex heterogeneous network
Zhisheng Yang, Jinyong Cheng
PeerJ Computer Science (2021) Vol. 7, pp. e822-e822
Open Access
Peer Review #3 of "Recommendation algorithm based on attributed multiplex heterogeneous network (v0.1)"
Zhisheng Yang, Jinyong Cheng, Zhihseng Yang
(2021)
Open Access
Peer Review #1 of "Recommendation algorithm based on attributed multiplex heterogeneous network (v0.2)"
Zhisheng Yang, Jinyong Cheng, Zhihseng Yang
(2021)
Open Access
Peer Review #1 of "Recommendation algorithm based on attributed multiplex heterogeneous network (v0.1)"
Zhisheng Yang, Jinyong Cheng, Zhihseng Yang
(2021)
Open Access
Peer Review #2 of "Recommendation algorithm based on attributed multiplex heterogeneous network (v0.1)"
Zhisheng Yang, Jinyong Cheng, Zhihseng Yang
(2021)
Open Access
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