Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

InfGCN: Identifying influential nodes in complex networks with graph convolutional networks
Gouheng Zhao, Peng Jia, Anmin Zhou, et al.
Neurocomputing (2020) Vol. 414, pp. 18-26
Closed Access | Times Cited: 93

Showing 26-50 of 93 citing articles:

Multiplex network influence maximization based on representation learning method
Hegui Zhang, Dapeng Zhang, Yun Wan, et al.
Applied Soft Computing (2025), pp. 112956-112956
Closed Access
DCKH‐CNN: A Multimetric Graph‐Based Convolutional Neural Network for Identifying Key Influential Nodes in Earth Surface Data Linked Networks
Qinjun Qiu, Jiandong Liu, Mengqi Hao, et al.
Transactions in GIS (2025) Vol. 29, Iss. 2
Closed Access
Node influence evaluation method based on saturation propagation probability and multi-level propagation
Haoming Guo, Xuefeng Yan
Chaos Solitons & Fractals (2025) Vol. 195, pp. 116299-116299
Closed Access
Ip-GCN: a hybrid deep learning approach to predict influence in complex networks
Asmita Patel, Naveen Singh, Buddha Singh
Neural Computing and Applications (2025)
Closed Access
Graph convolutional network for structural equivalent key nodes identification in complex networks
Asmita Patel, Buddha Singh
Chaos Solitons & Fractals (2025) Vol. 196, pp. 116376-116376
Closed Access
CLDE: a competitive learning-driven differential evolution optimization for the influence maximization problem in social networks
Baoqiang Chai, Ruisheng Zhang, Xinyue Li, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access
Identifying Influential Nodes in Complex Networks Based on Information Entropy and Relationship Strength
英樹 小西, Xiaohui Cui
Entropy (2023) Vol. 25, Iss. 5, pp. 754-754
Open Access | Times Cited: 11
Learning to rank influential nodes in complex networks via convolutional neural networks
Waseem Ahmad, Bang Wang, Si Chen
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3260-3278
Closed Access | Times Cited: 4
Vital node identification in complex networks based on autoencoder and graph neural network
You Xiong, Zheng Hu, Chang Su, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111895-111895
Closed Access | Times Cited: 4
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network
Xiwei Mi, Chengqing Yu, Xinwei Liu, et al.
Digital Signal Processing (2022) Vol. 129, pp. 103643-103643
Closed Access | Times Cited: 16
Identifying influential nodes through an improved k-shell iteration factor model
Qing Yang, Yunheng Wang, Senbin Yu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122077-122077
Closed Access | Times Cited: 10
Leveraging neighborhood and path information for influential spreaders recognition in complex networks
Aman Ullah, Jinfang Sheng, Bin Wang, et al.
Journal of Intelligent Information Systems (2023) Vol. 62, Iss. 2, pp. 377-401
Closed Access | Times Cited: 9
Conformity-aware adoption maximization in competitive social networks
Yonggang Liu, Yikun Hu, Siyang Yu, et al.
Neurocomputing (2024) Vol. 573, pp. 127224-127224
Closed Access | Times Cited: 3
Key nodes identification in complex networks based on subnetwork feature extraction
Luyuan Gao, Xiaoyang Liu, Chao Liu, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101631-101631
Open Access | Times Cited: 8
Topological to deep learning era for identifying influencers in online social networks :a systematic review
Yasir Rashid, Javaid Iqbal Bhat
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 14671-14714
Closed Access | Times Cited: 8
SRFA-GRL: Predicting group influence in social networks with graph representation learning
Peng Jia, Jiangheng Kou, Jiayong Liu, et al.
Information Sciences (2023) Vol. 638, pp. 118960-118960
Closed Access | Times Cited: 7
Influential simplices mining via simplicial convolutional networks
Yujie Zeng, Yiming Huang, Qiang Wu, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103813-103813
Closed Access | Times Cited: 2
A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks
Yihang Wu, Yanmei Hu, Siyuan Yin, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112235-112235
Closed Access | Times Cited: 2
Systematic literature review on identifying influencers in social networks
Seyed Farid Seyfosadat, Reza Ravanmehr
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 567-660
Closed Access | Times Cited: 6
Identifying influential nodes in complex networks based on network embedding and local structure entropy
Pengli Lu, Junxia Yang, Teng Zhang
Journal of Statistical Mechanics Theory and Experiment (2023) Vol. 2023, Iss. 8, pp. 083402-083402
Closed Access | Times Cited: 6
Optimal deployment of large-scale wireless sensor networks based on graph clustering and matrix factorization
Hefei Gao, Qianwen Zhu, Wei Wang
EURASIP Journal on Advances in Signal Processing (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 5
KPI-HGNN: Key provenance identification based on a heterogeneous graph neural network for big data access control
Dibin Shan, Xuehui Du, Wenjuan Wang, et al.
Information Sciences (2023) Vol. 659, pp. 120059-120059
Closed Access | Times Cited: 5
DDMF: A Method for Mining Relatively Important Nodes Based on Distance Distribution and Multi-Index Fusion
Na Zhao, Qian Liu, Ming Jing, et al.
Applied Sciences (2022) Vol. 12, Iss. 1, pp. 522-522
Open Access | Times Cited: 8
Evolutionary Approach for Detecting Significant Edges in Social and Communication Networks
Vasily Lubashevskiy, Ihor Lubashevsky
IEEE Access (2023) Vol. 11, pp. 58046-58054
Open Access | Times Cited: 4
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
Enyu Yu, Yan Fu, Junlin Zhou, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7272-7272
Open Access | Times Cited: 4

Scroll to top