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:

Identifying the influential nodes in complex social networks using centrality-based approach
Umar Ishfaq, Hikmat Ullah Khan, Saqib Iqbal
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 9376-9392
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Design and Implementation of Node Degree Centrality Computing of Network Security Database Based on Knowledge Graph
Chao Wu, Feng Wu
Security and Privacy (2025) Vol. 8, Iss. 1
Closed Access | Times Cited: 1

Ranking Plant Network Nodes Based on Their Centrality Measures
Nilesh Kumar, M. Shahid Mukhtar
Entropy (2023) Vol. 25, Iss. 4, pp. 676-676
Open Access | Times Cited: 16

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

Social-Aware Link Reliability Prediction Model Based Minimum Delay Routing for CR-VANETs
Jing Wang, Wenshi Dan, Hong Li, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 627-627
Open 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

Exploring the role of sentiment analysis with network and temporal features for finding influential users in social media platforms
Umar Ishfaq, Hikmat Ullah Khan, Danial Shabbir
Social Network Analysis and Mining (2025) Vol. 14, Iss. 1
Closed Access

Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity
Junqing Tang, Jing Wang, Jiaying Li, et al.
Computers Environment and Urban Systems (2024) Vol. 113, pp. 102160-102160
Open Access | Times Cited: 3

Key Nodes Evaluation Method Based on Combination Weighting VIKOR in Social Networks
Jian Shu, Y. Daniel Liang, Wanli Ma, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 4, pp. 5404-5418
Closed Access | Times Cited: 2

ICDC: Ranking Influential Nodes in Complex Networks Based on Isolating and Clustering Coefficient Centrality Measures
Mondikathi Chiranjeevi, Sateeshkrishna Dhuli, Murali Krishna Enduri, et al.
IEEE Access (2023) Vol. 11, pp. 126195-126208
Open Access | Times Cited: 5

HIKS: A K‐shell‐weighted hybrid approach method for detecting influential nodes in complex networks using possible edge weights
Thota Seshu Chakravarthy, Lokesh Selvaraj
International Journal of Communication Systems (2024) Vol. 37, Iss. 7
Closed Access | Times Cited: 1

Study on the characteristics of embodied carbon emission transfer in China’s power sector based on input-output networks
Xiaodi Ma, Fengyan Fan, Qunyi Liu
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4

Identifying and Ranking of Best Influential Spreaders With Extended Clustering Coefficient Local Global Centrality Method
Mondikathi Chiranjeevi, Sateeshkrishna Dhuli, Murali Krishna Enduri, et al.
IEEE Access (2024) Vol. 12, pp. 52539-52554
Open Access | Times Cited: 1

Using deep learning and word embeddings for predicting human agreeableness behavior
Raed Alsini, Anam Naz, Hikmat Ullah Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Estimating the relative importance of nodes in complex networks based on network embedding and gravity model
Na Zhao, Qian Liu, Hao Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101758-101758
Open Access | Times Cited: 3

Practical network topology in the study of online radicalisation of youth: opportunities and limitations
Julia Zubok, Анна Юрьевна Карпова, Aleksei Savelev
VESTNIK INSTITUTA SOTZIOLOGII (2024) Vol. 15, Iss. 1, pp. 13-42
Open Access

Exploring the Effectiveness of Graph-based Computational Models in COVID-19 Research
Dennis Opoku Boadu, Justice Kwame Appati, Joseph Agyapong Mensah
Operations Research Forum (2024) Vol. 5, Iss. 3
Closed Access

Identifying node importance for networked systems in terms of the cascading model
Qiang Guo, Ming Yi, Jian-Guo Liu
Physics Letters A (2024), pp. 129996-129996
Closed Access

Has bitcoin been dethroned too quickly? The cryptocurrency return networks
Barbara Będowska-Sójka, Piotr Wójcik, Sabrina Giordano
Network Science (2024) Vol. 13
Open Access

Graph neural link predictor based on cycle structure
Yanlin Yang, Zhonglin Ye, Lei Meng, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access

An overview of aggregation methods for social networks analysis
Lobna Hlaoua
Knowledge and Information Systems (2024) Vol. 67, Iss. 1, pp. 1-28
Closed Access

Efficient and Accurate Graph Statistics with Adaptive Personalized Local Differential Privacy
Teng Wang, Jiangguo Liang, Shuai Wang, et al.
(2024)
Closed Access

PPEIM: A preference path-based early-stage influence accumulation model for influential nodes identification in locally dense multi-core networks
Yaofang Zhang, Zibo Wang, Yang Liu, et al.
Journal of Computational Science (2024), pp. 102479-102479
Closed Access

A Review on Influence Dissemination in Social Networks
Mengji Yang, Aïcha Sekhari, Hai-Qing Zhang, et al.
(2023), pp. 97-103
Open Access | Times Cited: 1

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