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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:

MTGCN: A multi-task approach for node classification and link prediction in graph data
Zongqian Wu, Mengmeng Zhan, Haiqi Zhang, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102902-102902
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Link Prediction and Node Classification on Citation Network
Chenyu Han, Xiaoyu Fu, Yaohua Liang
(2023), pp. 428-431
Closed Access | Times Cited: 42
Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection
Guixian Zhang, Shichao Zhang, Guan Yuan
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 4, pp. 1-21
Open Access | Times Cited: 10
CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection
Hao Li, Zebei Han, Yu Sun, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
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
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding
Haohui Lu, Shahadat Uddin
Neurocomputing (2024) Vol. 593, pp. 127820-127820
Open Access | Times Cited: 6
Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph
Hai Cui, Tao Peng, Ridong Han, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103283-103283
Closed Access | Times Cited: 15
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering
Tao Ren, H. F. Zhang, Yifan Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104084-104084
Closed Access
GRANA: Graph Convolutional Network Based Network Representation Learning Method for Attributed Network Alignment
Yao Li, He Cai, Huilin Liu
Information Sciences (2025), pp. 122014-122014
Closed Access
FPGNN: Fair path graph neural network for mitigating discrimination
Guixian Zhang, Debo Cheng, Shichao Zhang
World Wide Web (2023) Vol. 26, Iss. 5, pp. 3119-3136
Closed Access | Times Cited: 11
Enhancing Molecular Network‐Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities
Hao Zhang, Chaohuan Lin, Y. Chen, et al.
Journal of Cellular and Molecular Medicine (2025) Vol. 29, Iss. 1
Open Access
A novel cascaded multi-task method for crop prescription recommendation based on electronic medical record
Chang Xu, Lei Zhao, Haojie Wen, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108790-108790
Closed Access | Times Cited: 3
Sparse graphs-based dynamic attention networks
Runze Chen, Kaibiao Lin, Binsheng Hong, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35938-e35938
Open Access | Times Cited: 3
Cross-scale contrastive triplet networks for graph representation learning
Yanbei Liu, Wanjin Shan, Xiao Wang, et al.
Pattern Recognition (2023) Vol. 145, pp. 109907-109907
Closed Access | Times Cited: 8
Temporal group-aware graph diffusion networks for dynamic link prediction
Da Huang, Fangyuan Lei
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103292-103292
Closed Access | Times Cited: 7
Unifying multimodal interactions for rumor diffusion prediction with global hypergraph modeling
Qi Zhang, Yuan Li, J.T. Zou, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112246-112246
Closed Access | Times Cited: 2
Learning heterogeneous subgraph representations for team discovery
Radin Hamidi Rad, Hoang Nguyen, Feras Al‐Obeidat, et al.
Information Retrieval (2023) Vol. 26, Iss. 1-2
Closed Access | Times Cited: 5
Predicting multi-subsequent events and actors in public health emergencies: An event-based knowledge graph approach
Zhen Yan, Xiao Zhou, Qiuyun Zhang, et al.
Computers & Industrial Engineering (2023) Vol. 187, pp. 109852-109852
Closed Access | Times Cited: 5
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Yuecen Wei, Haonan Yuan, Xingcheng Fu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 9160-9168
Open Access | Times Cited: 1
Towards explaining graph neural networks via preserving prediction ranking and structural dependency
Youmin Zhang, William K. Cheung, Qun Liu, et al.
Information Processing & Management (2023) Vol. 61, Iss. 2, pp. 103571-103571
Closed Access | Times Cited: 4
Funnel graph neural networks with multi-granularity cascaded fusing for protein–protein interaction prediction
Weicheng Sun, Jinsheng Xu, Weihan Zhang, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125030-125030
Closed Access | Times Cited: 1
ConCur: Self-supervised graph representation based on contrastive learning with curriculum negative sampling
Rong Yan, Peng Bao
Neurocomputing (2023) Vol. 551, pp. 126525-126525
Closed Access | Times Cited: 3
Graph representation learning via redundancy reduction
Mengyao He, Qingqing Zhao, Han Zhang, et al.
Neurocomputing (2023) Vol. 533, pp. 161-177
Closed Access | Times Cited: 2
A large-scale data security detection method based on continuous time graph embedding framework
Zhaowei Liu, Weishuai Che, Shenqiang Wang, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Event Prediction Model Combining Ordinary Differential Equation and Hypernetworks
Junhe Zhang, Fuyuan Ma, Xin Wang, et al.
(2024)
Closed Access
Node2bert: Only Graph Structure Learning for Robust Node Classification
Mincheol Shin, Hyunwook Yu, Tae-Young Choe, et al.
(2024)
Closed Access
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