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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:

Community-based influence maximization for viral marketing
Huimin Huang, Hong Shen, Zaiqiao Meng, et al.
Applied Intelligence (2019) Vol. 49, Iss. 6, pp. 2137-2150
Closed Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Continuous Influence-Based Community Partition for Social Networks
Qiufen Ni, Jianxiong Guo, Weili Wu, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 9, Iss. 3, pp. 1187-1197
Open Access | Times Cited: 83
New trends in influence maximization models
Mehdi Azaouzi, Wassim Mnasri, Lotfi Ben Romdhane
Computer Science Review (2021) Vol. 40, pp. 100393-100393
Open Access | Times Cited: 62
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
An efficient adaptive degree-based heuristic algorithm for influence maximization in hypergraphs
Ming Xie, Xiu-Xiu Zhan, Chuang Liu, et al.
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103161-103161
Closed Access | Times Cited: 55
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: 32
TI-SC: top-k influential nodes selection based on community detection and scoring criteria in social networks
Hamid Ahmadi Beni, Asgarali Bouyer
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 11, Iss. 11, pp. 4889-4908
Closed Access | Times Cited: 56
IM-ELPR: Influence maximization in social networks using label propagation based community structure
Sanjay Kumar, Lakshay Singhla, Kshitij Jindal, et al.
Applied Intelligence (2021) Vol. 51, Iss. 11, pp. 7647-7665
Closed Access | Times Cited: 53
A deep learning approach for semi-supervised community detection in Online Social Networks
Aniello De Santo, Antonio Galli, Vincenzo Moscato, et al.
Knowledge-Based Systems (2021) Vol. 229, pp. 107345-107345
Closed Access | Times Cited: 44
Ranking influential spreaders based on both node k-shell and structural hole
Zhili Zhao, Ding Li, Yue Sun, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110163-110163
Closed Access | Times Cited: 37
TSIFIM: A three-stage iterative framework for influence maximization in complex networks
Chen Dong, Guiqiong Xu, Pingle Yang, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118702-118702
Closed Access | Times Cited: 34
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
Community detection in complex networks using network embedding and gravitational search algorithm
Sanjay Kumar, B. S. Panda, Deepanshu Aggarwal
Journal of Intelligent Information Systems (2020) Vol. 57, Iss. 1, pp. 51-72
Closed Access | Times Cited: 42
Identifying influential nodes in weighted complex networks using an improved WVoteRank approach
Sanjay Kumar, Ankit Kumar Panda
Applied Intelligence (2021) Vol. 52, Iss. 2, pp. 1838-1852
Closed Access | Times Cited: 37
A Community-Aware Framework for Social Influence Maximization
Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 4, pp. 1253-1262
Open Access | Times Cited: 15
Maximizing positive influence in competitive social networks: A trust-based solution
Feng Wang, Jinhua She, Yasuhiro Ohyama, et al.
Information Sciences (2020) Vol. 546, pp. 559-572
Closed Access | Times Cited: 34
Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization
Huan Li, Ruisheng Zhang, Zhili Zhao, et al.
Applied Intelligence (2021) Vol. 51, Iss. 11, pp. 7749-7765
Closed Access | Times Cited: 30
Identifying Influential Nodes Using a Shell-Based Ranking and Filtering Method in Social Networks
Hamid Ahmadi Beni, Asgarali Bouyer
Big Data (2021) Vol. 9, Iss. 3, pp. 219-232
Closed Access | Times Cited: 28
Identifying Influential Nodes for Smart Enterprises Using Community Structure With Integrated Feature Ranking
Sanjay Kumar, Akshi Kumar, B. S. Panda
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 1, pp. 703-711
Open Access | Times Cited: 22
Influence maximization based on threshold models in hypergraphs
Renquan Zhang, Xilong Qu, Qiang Zhang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 4
FairSNA: Algorithmic Fairness in Social Network Analysis
Akrati Saxena, George Fletcher, Mykola Pechenizkiy
ACM Computing Surveys (2024) Vol. 56, Iss. 8, pp. 1-45
Open Access | Times Cited: 4
Identifying influential nodes in complex networks through the k-shell index and neighborhood information
Shima Esfandiari, Mohammad R. Moosavi
Journal of Computational Science (2024), pp. 102473-102473
Closed Access | Times Cited: 4
k-InfNode: ranking top-k influential nodes in complex networks with random walk
Ahmadi Hasan, Ahmad Kamal, Pawan Kumar
Soft Computing (2025)
Closed Access
Learning automata-enabled ant colony optimization for group influence maximization in social networks: a two-stage approach
Gouri Kundu, Sankhayan Choudhury
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
Competitive and complementary influence maximization in social network: A follower’s perspective
Huimin Huang, Zaiqiao Meng, Hong Shen
Knowledge-Based Systems (2020) Vol. 213, pp. 106600-106600
Closed Access | Times Cited: 32
Attribute based diversification of seeds for targeted influence maximization
Antonio Caliò, Andrea Tagarelli
Information Sciences (2020) Vol. 546, pp. 1273-1305
Closed Access | Times Cited: 29
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