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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:

Graph Neural Networks for Fast Node Ranking Approximation
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
ACM Transactions on Knowledge Discovery from Data (2021) Vol. 15, Iss. 5, pp. 1-32
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Simplifying approach to node classification in Graph Neural Networks
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Journal of Computational Science (2022) Vol. 62, pp. 101695-101695
Open Access | Times Cited: 47
A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox
Zixu Chen, Jinchen Ji, Wennian Yu, et al.
Measurement (2024) Vol. 230, pp. 114497-114497
Closed Access | Times Cited: 10
Detecting influential nodes with topological structure via Graph Neural Network approach in social networks
Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi
International Journal of Information Technology (2023) Vol. 15, Iss. 4, pp. 2233-2246
Open Access | Times Cited: 16
Feature selection: Key to enhance node classification with graph neural networks
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 1, pp. 14-28
Open Access | Times Cited: 13
Deep Learning Based Link Prediction for Minimizing Maximum Betweenness
Aashish Aashish, Parul Diwakar, Venkata Narendra Kotyada, et al.
Studies in computational intelligence (2025), pp. 237-249
Closed Access
Edge-based graph neural network for ranking critical road segments in a network
Debasish Jana, Sven Malama, Sriram Narasimhan, et al.
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0296045-e0296045
Open Access | Times Cited: 8
TriBeC: identifying influential users on social networks with upstream and downstream network centrality
Somya Jain, Adwitiya Sinha
International Journal of General Systems (2023) Vol. 52, Iss. 3, pp. 275-296
Closed Access | Times Cited: 7
A Multi-Modal Approach For Context-Aware Network Traffic Classification
Bo Pang, Yongquan Fu, Siyuan Ren, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 7
MGL2Rank: Learning to rank the importance of nodes in road networks based on multi-graph fusion
Ming Xu, Jing Zhang
Information Sciences (2024) Vol. 667, pp. 120472-120472
Open Access | Times Cited: 2
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval
Yan Gong, Georgina Cosma, Axel Finke
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 9, pp. 1-21
Open Access | Times Cited: 2
The Structure Entropy-Based Node Importance Ranking Method for Graph Data
Shihu Liu, H. Gao
Entropy (2023) Vol. 25, Iss. 6, pp. 941-941
Open Access | Times Cited: 5
Research paper recommendation system based on multiple features from citation network
Tayyaba Kanwal, Tehmina Amjad
Scientometrics (2024) Vol. 129, Iss. 9, pp. 5493-5531
Open Access | Times Cited: 1
Betweenness Approximation for Edge Computing with Hypergraph Neural Networks
Guo Ya-guang, Wenxin Xie, Qingren Wang, et al.
Tsinghua Science & Technology (2024) Vol. 30, Iss. 1, pp. 331-344
Closed Access | Times Cited: 1
Normalized strength-degree centrality: identifying influential spreaders for weighted network
Srestha Sadhu, Amrita Namtirtha, Mariana Curado Malta, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 1
Fast cluster-based computation of exact betweenness centrality in large graphs
Cecile Daniel, Angelo Furno, Lorenzo Goglia, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 10
Dismantling Complex Networks by a Neural Model Trained from Tiny Networks
Jiazheng Zhang, Bang Wang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 2559-2568
Open Access | Times Cited: 4
Identifying the Top-k Influential Spreaders in Social Networks: a Survey and Experimental Evaluation
Kamal Taha
IEEE Access (2022) Vol. 10, pp. 107809-107845
Open Access | Times Cited: 4
CM-GCN: Crossbred Method based-Graph Convolution Networks for identifying influential spreaders from directed networks
Nilanjana Saha, Amrita Namtirtha, Animesh Dutta
(2024), pp. 777-781
Closed Access
Crossbred Method: A New Method for Identifying Influential Spreaders from Directed Networks
Nilanjana Saha, Amrita Namtirtha, Animesh Dutta
Studies in computational intelligence (2024), pp. 388-400
Closed Access
Ranking the spreading influence of nodes in weighted networks by combining node2vec and weighted K-Shell decomposition
Weizhou Hu, Fan Yang, Xiuyong Mao, et al.
(2024), pp. 588-597
Closed Access
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise
Tai Hasegawa, Sukwon Yun, Xin Liu, et al.
Lecture notes in computer science (2024), pp. 376-389
Open Access
Enhancing Network Resilience against DDoS Attacks: Critical Node Identification using Load based k-shell Analysis
L Manjula, G T Raju
(2024), pp. 1-4
Closed Access
Feature-Aware Unsupervised Detection of Important Nodes in Graphs
Mohammadreza Ghanbari, Saeed Asadi Bagloee, Jianzhong Qi, et al.
Lecture notes in computer science (2024), pp. 98-113
Closed Access
Can One Hear the Position of Nodes?
Rami Puzis
Studies in computational intelligence (2023), pp. 649-660
Closed Access | Times Cited: 1
Identifying and Protecting Cyber-Physical Systems’ Influential Devices for Sustainable Cybersecurity
Kamal Taha
IEEE Transactions on Sustainable Computing (2023) Vol. 8, Iss. 4, pp. 614-626
Closed Access | Times Cited: 1
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