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:

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
Pengfei Jiao, Xuan Guo, Xin Jing, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 12, pp. 7400-7413
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Anomaly Detection in Dynamic Graphs via Transformer
Yixin Liu, Shirui Pan, Yu Guang Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 35, Iss. 12, pp. 12081-12094
Open Access | Times Cited: 60

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 54

RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection
Dezhi Guo, Zhaowei Liu, Ranran Li
Neural Networks (2023) Vol. 166, pp. 273-285
Closed Access | Times Cited: 24

Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview
Yue Zhou, Xin Luo, MengChu Zhou
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 5, pp. 1105-1121
Closed Access | Times Cited: 17

Enhanced Variational Graph Convolutional Networks with Multi-Scale Convolutions and Attention Mechanisms for Dynamic Network Analysis
Aabid A. Mir, Megat F. Zuhairi, Shahrulniza Musa, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19838-19847
Open Access

Modeling and Interpreting the Propagation Influence of Neighbor Information in Time-Variant Networks with Exemplification by Financial Risk Prediction
Jianfei Wang, Lina Zhou, Cuiqing Jiang, et al.
Journal of Management Information Systems (2025) Vol. 42, Iss. 1, pp. 105-142
Closed Access

A Review of Link Prediction Algorithms in Dynamic Networks
Mengdi Sun, Minghu Tang
Mathematics (2025) Vol. 13, Iss. 5, pp. 807-807
Open Access

SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction
Yanting Yin, Yajing Wu, Xuebing Yang, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 9, Iss. 4, pp. 2495-2509
Closed Access | Times Cited: 16

Dynamic Graph Representation Learning via Coupling-Process Model
Pingtao Duan, Chuan Zhou, Yuting Liu
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 9, pp. 12383-12395
Closed Access | Times Cited: 9

A method for evaluating the learning concentration in head-mounted virtual reality interaction
Yi Lin, Yangfan Lan, Shunbo Wang
Virtual Reality (2022) Vol. 27, Iss. 2, pp. 863-885
Open Access | Times Cited: 14

Dynamic link prediction by learning the representation of node-pair via graph neural networks
Dong Hu, Longjie Li, Dongwen Tian, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122685-122685
Closed Access | Times Cited: 7

Link prediction method for social networks based on a hierarchical and progressive user interaction matrix
Shihong Wei, Liangyu Wang, Hejun Wu, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111929-111929
Closed Access | Times Cited: 2

Deciphering gastric inflammation-induced tumorigenesis through multi-omics data and AI methods
Qian Zhang, Mingran Yang, Peng Zhang, et al.
Cancer Biology and Medicine (2023), pp. 1-19
Open Access | Times Cited: 5

Deep autoencoder architecture with outliers for temporal attributed network embedding
Xian Mo, Jun Pang, Zhiming Liu
Expert Systems with Applications (2023) Vol. 240, pp. 122596-122596
Open Access | Times Cited: 5

DynamiSE: dynamic signed network embedding for link prediction
Haiting Sun, Peng Tian, Yun Xiong, et al.
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4037-4053
Closed Access | Times Cited: 1

ConTIG: Continuous representation learning on temporal interaction graphs
Zihui Wang, Peizhen Yang, Xiaoliang Fan, et al.
Neural Networks (2024) Vol. 172, pp. 106151-106151
Open Access | Times Cited: 1

Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification
Weidong Zhang, Xuesong Wang, Haoyu Wang, et al.
(2024)
Open Access | Times Cited: 1

Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification
Wei Zhang, Xuesong Wang, Haoyu Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 1

eVAE: Evolutionary Variational Autoencoder
Zhangkai Wu, Longbing Cao, Lei Qi
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3288-3299
Open Access | Times Cited: 1

Phishing behavior detection on different blockchains via adversarial domain adaptation
Chuyi Yan, Xueying Han, Yan Zhu, et al.
Cybersecurity (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1

Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings
Jiaxun Guo, Wentao Fan, Manar Amayri, et al.
Neural Networks (2024) Vol. 183, pp. 106979-106979
Open Access | Times Cited: 1

A Novel Link Prediction Framework Based on Gravitational Field
Yanlin Yang, Zhonglin Ye, Haixing Zhao, et al.
Data Science and Engineering (2023) Vol. 8, Iss. 1, pp. 47-60
Open Access | Times Cited: 4

Temporal link prediction based on node dynamics
Jiayun Wu, Langzhou He, Tao Jia, et al.
Chaos Solitons & Fractals (2023) Vol. 170, pp. 113402-113402
Closed Access | Times Cited: 4

TGAE: Temporal Graph Autoencoder for Travel Forecasting
Qiang Wang, Hao Jiang, Meikang Qiu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 8, pp. 8529-8541
Closed Access | Times Cited: 7

Link Prediction Model for Opportunistic Networks Based on Feature Fusion
Jian Shu, Jiawei Shi, Liang Liao
IEEE Access (2022) Vol. 10, pp. 80900-80909
Open Access | Times Cited: 6

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