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:

Modularity-aware graph autoencoders for joint community detection and link prediction
Guillaume Salha, Johannes F. Lutzeyer, George Dasoulas, et al.
Neural Networks (2022) Vol. 153, pp. 474-495
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A scenario-driven sustainable product and service system design for elderly nursing based on QFD
Xiuli Geng, Yiqun Li, Duojin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102368-102368
Closed Access | Times Cited: 7

On exploring node-feature and graph-structure diversities for node drop graph pooling
Chuang Liu, Yibing Zhan, Baosheng Yu, et al.
Neural Networks (2023) Vol. 167, pp. 559-571
Open Access | Times Cited: 11

A comprehensive survey on community detection methods and applications in complex information networks
Abdelhani Diboune, Hachem Slimani, Hassina Nacer, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 4

Using Density Criterion and Increasing Modularity to Detect Communities in Complex Networks
Iman Hasan Abed, Sondos Bahadori
Iraqi journal of data science. (2025) Vol. 2, Iss. 1, pp. 1-15
Closed Access

A Comprehensive Review of Computational Intelligence to Community Detection
Xinyi Zhang, Qunpeng Hu, Jingchao Wang
Communications in computer and information science (2025), pp. 35-49
Closed Access

Data‐Driven Information Perception for Complex Industrial Networks of Service Based on Hierarchical Interactive Graph Variational Inference
Kexin Zhang, Qing Gao, Maciej Ogorzałek, et al.
International Journal of Robust and Nonlinear Control (2025)
Closed Access

Backbone Extraction in Complex Networks via Embedding-Based Link Prediction
Jason D. Barbour, Ali Yassin, Hocine Cherifi, et al.
Studies in computational intelligence (2025), pp. 224-236
Closed Access

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
Yunfei Liu, Jintang Li, Yuehe Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1968-1979
Open Access | Times Cited: 3

A community detection model using node embedding approach and graph convolutional network with clustering technique
Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi
Decision Analytics Journal (2023) Vol. 9, pp. 100362-100362
Open Access | Times Cited: 8

EGRC-Net: Embedding-Induced Graph Refinement Clustering Network
Zhihao Peng, Hui Liu, Yuheng Jia, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 6457-6468
Open Access | Times Cited: 7

KNeXT: a NetworkX-based topologically relevant KEGG parser
Everest Uriel Castaneda, Erich J. Baker
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 2

A Dual Robust Graph Neural Network Against Graph Adversarial Attacks
Qian Tao, Jianpeng Liao, Enze Zhang, et al.
Neural Networks (2024) Vol. 175, pp. 106276-106276
Closed Access | Times Cited: 2

Graph neural network-based topological relationships automatic identification of geological boundaries
Shuyang Han, Yichi Zhang, Jiajun Wang, et al.
Computers & Geosciences (2024) Vol. 188, pp. 105621-105621
Closed Access | Times Cited: 2

A weighted prior tensor train decomposition method for community detection in multi-layer networks
Siyuan Peng, Mingliang Yang, Zhijing Yang, et al.
Neural Networks (2024) Vol. 179, pp. 106523-106523
Closed Access | Times Cited: 2

CommunityGCN: community detection using node classification with graph convolution network
Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi
Data Technologies and Applications (2023) Vol. 57, Iss. 4, pp. 580-604
Closed Access | Times Cited: 5

Modularity in Deep Learning: A Survey
Haozhe Sun, Isabelle Guyon
Lecture notes in networks and systems (2023), pp. 561-595
Open Access | Times Cited: 4

DINE: Dimensional Interpretability of Node Embeddings
Simone Piaggesi, Megha Khosla, André Panisson, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7986-7997
Open Access | Times Cited: 1

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks
Ghazaleh Niknam, Soheila Molaei, Hadi Zare, et al.
Neural Networks (2023) Vol. 165, pp. 596-610
Open Access | Times Cited: 3

Unified robust network embedding framework for community detection via extreme adversarial attacks
Wenjie Zhu, Chunchun Chen, Bo Peng
Information Sciences (2023) Vol. 643, pp. 119200-119200
Closed Access | Times Cited: 2

TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Alan John Varghese, Aniruddha Bora, Mengjia Xu, et al.
Neural Networks (2023) Vol. 172, pp. 106086-106086
Open Access | Times Cited: 2

Explanatory subgraph attacks against Graph Neural Networks
Huiwei Wang, Tianhua Liu, Ziyu Sheng, et al.
Neural Networks (2024) Vol. 172, pp. 106097-106097
Closed Access

Evaluating Network Embeddings Through the Lens of Community Structure
Jason D. Barbour, Stephany Rajeh, Sara Najem, et al.
Studies in computational intelligence (2024), pp. 440-451
Closed Access

Node-Smoothness-Based Adaptive Initial Residual Deep Graph Convolutional Network
Hui Chen, Liguang Zang, Yuancheng Li
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23878-23888
Closed Access

ClusterLP: A novel Cluster-aware Link Prediction model in undirected and directed graphs
Shanfan Zhang, Wenjiao Zhang, Zhan Bu, et al.
International Journal of Approximate Reasoning (2024) Vol. 172, pp. 109216-109216
Closed Access

Network embedding based on DepDist contraction
Emanuel Dopater, Eliška Ochodková, Miloš Kudělka
Applied Network Science (2024) Vol. 9, Iss. 1
Open Access

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