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:

A Survey on Network Embedding
Peng Cui, Xiao Wang, Jian Pei, et al.
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 31, Iss. 5, pp. 833-852
Open Access | Times Cited: 1197

Showing 26-50 of 1197 citing articles:

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng, Xiangnan He, Jie Tang, et al.
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 33, Iss. 6, pp. 2493-2504
Closed Access | Times Cited: 177

Learning from History and Present
Zhi Li, Hongke Zhao, Qi Liu, et al.
(2018)
Open Access | Times Cited: 176

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
Hao Peng, Jianxin Li, Senzhang Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 33, Iss. 6, pp. 2505-2519
Open Access | Times Cited: 169

Heterogeneous Graph Neural Network via Attribute Completion
Di Jin, Cuiying Huo, Chundong Liang, et al.
(2021), pp. 391-400
Closed Access | Times Cited: 137

Graph representation learning in bioinformatics: trends, methods and applications
Hai-Cheng Yi, Zhu‐Hong You, De-Shuang Huang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 137

Intelligent financial fraud detection practices in post-pandemic era
Xiaoqian Zhu, Xiang Ao, Zidi Qin, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100176-100176
Open Access | Times Cited: 120

Understanding Graph Embedding Methods and Their Applications
Mengjia Xu
SIAM Review (2021) Vol. 63, Iss. 4, pp. 825-853
Open Access | Times Cited: 115

Autoencoders and their applications in machine learning: a survey
Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 106

A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks
Chao Gao, Junyou Zhu, Fan Zhang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 6, pp. 3599-3612
Closed Access | Times Cited: 91

Deep neural networks in the cloud: Review, applications, challenges and research directions
Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, et al.
Neurocomputing (2023) Vol. 545, pp. 126327-126327
Open Access | Times Cited: 51

Data Lakes: A Survey of Functions and Systems
Rihan Hai, Christos Koutras, Christoph Quix, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12571-12590
Open Access | Times Cited: 47

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment
Meng Liu, Ke Liang, Yawei Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-13
Open Access | Times Cited: 43

Multi-Source and Multi-modal Deep Network Embedding for Cross-Network Node Classification
Hongwei Yang, Hui He, Weizhe Zhang, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-26
Open Access | Times Cited: 36

A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges
Meihui Zhong, Ming‐Wei Lin, Chao Zhang, et al.
Computers & Security (2024) Vol. 141, pp. 103821-103821
Closed Access | Times Cited: 31

Graph Structure Fusion for Multiview Clustering
Kun Zhan, Chaoxi Niu, Changlu Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 31, Iss. 10, pp. 1984-1993
Closed Access | Times Cited: 158

High-order Proximity Preserved Embedding For Dynamic Networks
Dingyuan Zhu, Peng Cui, Ziwei Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2018), pp. 1-1
Closed Access | Times Cited: 132

Network-based prediction of drug–target interactions using an arbitrary-order proximity embedded deep forest
Xiangxiang Zeng, Siyi Zhu, Yuan Hou, et al.
Bioinformatics (2020) Vol. 36, Iss. 9, pp. 2805-2812
Open Access | Times Cited: 131

MCNE
Hao Wang, Tong Xu, Qi Liu, et al.
(2019)
Open Access | Times Cited: 129

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang, Yu Rong, Tingyang Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 04, pp. 3389-3396
Open Access | Times Cited: 118

Temporal Network Embedding with Micro- and Macro-dynamics
Yuanfu Lu, Xiao Wang, Chuan Shi, et al.
(2019), pp. 469-478
Open Access | Times Cited: 115

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
Xiao Wang, Yuanfu Lu, Chuan Shi, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 3, pp. 1117-1132
Closed Access | Times Cited: 115

Relation Structure-Aware Heterogeneous Information Network Embedding
Yuanfu Lu, Chuan Shi, Linmei Hu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2019) Vol. 33, Iss. 01, pp. 4456-4463
Open Access | Times Cited: 109

Hyperbolic Heterogeneous Information Network Embedding
Xiao Wang, Yiding Zhang, Chuan Shi
Proceedings of the AAAI Conference on Artificial Intelligence (2019) Vol. 33, Iss. 01, pp. 5337-5344
Open Access | Times Cited: 108

Graph Neural Network for Fraud Detection via Spatial-Temporal Attention
Dawei Cheng, Xiaoyang Wang, Ying Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3800-3813
Closed Access | Times Cited: 108

Deep attributed network representation learning of complex coupling and interaction
Zhao Li, Xin Wang, Jianxin Li, et al.
Knowledge-Based Systems (2020) Vol. 212, pp. 106618-106618
Closed Access | Times Cited: 106

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