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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:

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 1-25 of 93 citing articles:

A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Energy (2022) Vol. 263, pp. 126034-126034
Closed Access | Times Cited: 90
Identifying vital nodes from local and global perspectives in complex networks
Aman Ullah, Bin Wang, Jinfang Sheng, et al.
Expert Systems with Applications (2021) Vol. 186, pp. 115778-115778
Closed Access | Times Cited: 94
Identification of nodes influence based on global structure model in complex networks
Aman Ullah, Bin Wang, Jinfang Sheng, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 76
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 43
A new approach for evaluating node importance in complex networks via deep learning methods
Min Zhang, Xiaojuan Wang, Lei Jin, et al.
Neurocomputing (2022) Vol. 497, pp. 13-27
Closed Access | Times Cited: 41
Identification of spreading influence nodes via multi-level structural attributes based on the graph convolutional network
Yang Ou, Qiang Guo, Jia-Liang Xing, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117515-117515
Closed Access | Times Cited: 41
Determination of influential nodes based on the Communities’ structure to maximize influence in social networks
Farzaneh Kazemzadeh, Ali Safaei, Mitra Mirzarezaee, et al.
Neurocomputing (2023) Vol. 534, pp. 18-28
Closed Access | Times Cited: 31
Identifying influential nodes in complex networks via Transformer
Leiyang Chen, 英樹 小西, Liang Dong, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103775-103775
Closed Access | Times Cited: 11
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
CPR-TOPSIS: A novel algorithm for finding influential nodes in complex networks based on communication probability and relative entropy
Chen Dong, Guiqiong Xu, Lei Meng, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 603, pp. 127797-127797
Closed Access | Times Cited: 31
Identifying spreading influence nodes for social networks
Yang Ou, Qiang Guo, Jian-Guo Liu
Frontiers of Engineering Management (2022) Vol. 9, Iss. 4, pp. 520-549
Open Access | Times Cited: 30
LSS: A locality-based structure system to evaluate the spreader’s importance in social complex networks
Aman Ullah, Junming Shao, Qinli Yang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120326-120326
Closed Access | Times Cited: 19
Detecting influential nodes with topological structure via Graph Neural Network approach in social networks
Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi
International Journal of Information Technology (2023) Vol. 15, Iss. 4, pp. 2233-2246
Open Access | Times Cited: 16
Privacy-Aware Access Control in IoT-Enabled Healthcare: A Federated Deep Learning Approach
Hui Lin, Kuljeet Kaur, Xiaoding Wang, et al.
IEEE Internet of Things Journal (2021) Vol. 10, Iss. 4, pp. 2893-2902
Closed Access | Times Cited: 39
Identify influential nodes in social networks with graph multi-head attention regression model
Jiangheng Kou, Peng Jia, Jiayong Liu, et al.
Neurocomputing (2023) Vol. 530, pp. 23-36
Closed Access | Times Cited: 13
PHEE: Identifying influential nodes in social networks with a phased evaluation-enhanced search
Enqiang Zhu, Haosen Wang, Yu Zhang, et al.
Neurocomputing (2023) Vol. 572, pp. 127195-127195
Closed Access | Times Cited: 13
An insight into topological, machine and Deep Learning-based approaches for influential node identification in social media networks: a systematic review
Yasir Rashid, Javaid Iqbal Bhat
Multimedia Systems (2024) Vol. 30, Iss. 1
Closed Access | Times Cited: 5
IC-SNI: measuring nodes’ influential capability in complex networks through structural and neighboring information
Suman Nandi, Mariana Curado Malta, Giridhar Maji, et al.
Knowledge and Information Systems (2024) Vol. 67, Iss. 2, pp. 1309-1350
Closed Access | Times Cited: 5
HCCKshell: A heterogeneous cross-comparison improved Kshell algorithm for Influence Maximization
Yaqiong Li, Tun Lu, Weimin Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103681-103681
Closed Access | Times Cited: 4
An algorithm to build synthetic temporal contact networks based on close-proximity interactions data
Audrey Duval, Quentin J. Leclerc, Didier Guillemot, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 6, pp. e1012227-e1012227
Open Access | Times Cited: 4
Maximizing Information Dissemination in Social Network via a Fast Local Search
Tian Li, X. L. Ji, Yupeng Zhou
Systems (2025) Vol. 13, Iss. 1, pp. 59-59
Open Access
Node importance evaluation in heterogeneous network based on attention mechanism and graph contrastive learning
Jian Shu, Yiling Zou, Hui Cui, et al.
Neurocomputing (2025), pp. 129555-129555
Closed Access
MEGA: identifying influential nodes in heterogeneous networks based on meta-path and attention
Jiahao Xie, Jianyong Yu, Z. Chen
Journal of Statistical Mechanics Theory and Experiment (2025) Vol. 2025, Iss. 2, pp. 023401-023401
Closed Access
Identifying influential nodes in complex networks by adjusted feature contributions and neighborhood impact
Shima Esfandiari, Seyed Mostafa Fakhrahmad
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
NFI-SGAT: Node feature initialization-based streaming graph learning model with graph attention network for critical node identification in temporal networks
Mingxuan Yan, Yuexing Han, Bing Wang
Neurocomputing (2025), pp. 129679-129679
Closed Access
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