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:

Influence maximization in social networks using transfer learning via graph-based LSTM
Sanjay Kumar, Abhishek Mallik, B. S. Panda
Expert Systems with Applications (2022) Vol. 212, pp. 118770-118770
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li, Haobo Gao, Yunxuan Gao, et al.
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 17, Iss. 9, pp. 1-50
Open Access | Times Cited: 31

Word2Vec and LSTM based deep learning technique for context-free fake news detection
Abhishek Mallik, Sanjay Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 919-940
Closed Access | Times Cited: 30

A survey on influence maximization models
Myriam Jaouadi, Lotfi Ben Romdhane
Expert Systems with Applications (2024) Vol. 248, pp. 123429-123429
Closed Access | Times Cited: 10

A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks
Gang Wang, S. X. Du, Yan Jiang, et al.
Frontiers in Physics (2025) Vol. 12
Open Access | Times Cited: 1

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: 6

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: 6

BiGDN: An end-to-end influence maximization framework based on deep reinforcement learning and graph neural networks
Wenlong Zhu, Kaijing Zhang, Jiahui Zhong, et al.
Expert Systems with Applications (2025), pp. 126384-126384
Closed 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

Influencer Ranking Framework Using TH-DCNN for influence maximization
Vishakha Shelke, Ashish Jadhav
Procedia Computer Science (2025) Vol. 252, pp. 583-592
Open Access

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

A Landscape-Aware Discrete Particle Swarm Optimization for the Influence Maximization Problem in Social Networks
Baoqiang Chai, Junwei Fu, Ruisheng Zhang, et al.
Symmetry (2025) Vol. 17, Iss. 3, pp. 435-435
Open Access

Pure profit-oriented continuous influence maximization considering cost budget: A gradient descent-based approach
Wei Liu, Zhenghong Deng, Yixin Chen, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104172-104172
Closed Access

Capability assessment and critical nodes identification in heterogeneous combat networks with multi-functional equipment
Meng Liu, Qiang Feng, Jintao Wu, et al.
Chaos Solitons & Fractals (2025) Vol. 196, pp. 116375-116375
Closed Access

DAG-HFC: Dual-domain attention and graph optimization network for heterogeneous graph feature completion
Yingjie Jiang, Zhaowei Liu, Yongchao Song, et al.
Expert Systems with Applications (2025) Vol. 278, pp. 127293-127293
Closed Access

Identifying active spreading nodes in complex networks
Jin Liu, Wenbin Yu, Chengjun Zhang, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130619-130619
Closed Access

MCD: A modified community diversity approach for detecting influential nodes in social networks
Aaryan Gupta, Inder Khatri, Arjun Choudhry, et al.
Journal of Intelligent Information Systems (2023) Vol. 61, Iss. 2, pp. 473-495
Closed Access | Times Cited: 9

Improved information diffusion models based on a new two-sided sign-aware matching framework in complex networks
Sohameh Mohammadi, Mohammad H. Nadimi-Shahraki, Zahra Beheshti, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115298-115298
Closed Access | Times Cited: 3

GCNT: Identify influential seed set effectively in social networks by integrating graph convolutional networks with graph transformers
Jianxin Tang, Jitao Qu, Shihui Song, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102183-102183
Open Access | Times Cited: 3

OlapGN: A multi-layered graph convolution network-based model for locating influential nodes in graph networks
Yasir Rashid, Javaid Iqbal Bhat
Knowledge-Based Systems (2023) Vol. 283, pp. 111163-111163
Closed Access | Times Cited: 9

Influence Maximization in social networks using discretized Harris’ Hawks Optimization algorithm
Inder Khatri, Arjun Choudhry, Aryaman Rao, et al.
Applied Soft Computing (2023) Vol. 149, pp. 111037-111037
Closed Access | Times Cited: 9

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

ET-DM: Text to image via diffusion model with efficient Transformer
Huan Li, Feng Xu, Lin Zheng
Displays (2023) Vol. 80, pp. 102568-102568
Closed Access | Times Cited: 8

Locating influence sources in social network by senders and receivers spaces mapping
Weijia Ju, Yixin Chen, Ling Chen, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123327-123327
Closed Access | Times Cited: 2

On the max–min influence spread problem: A multi-objective optimization approach
Fabián Riquelme, Francisco Muñoz, Rodrigo Olivares
Applied Soft Computing (2024) Vol. 154, pp. 111343-111343
Closed Access | Times Cited: 2

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