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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:

Interplay Between Hierarchy and Centrality in Complex Networks
Stephany Rajeh, Marinette Savonnet, Éric Leclercq, et al.
IEEE Access (2020) Vol. 8, pp. 129717-129742
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Characterizing the interactions between classical and community-aware centrality measures in complex networks
Stephany Rajeh, Marinette Savonnet, Éric Leclercq, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 44
Comparative evaluation of community-aware centrality measures
Stephany Rajeh, Marinette Savonnet, Éric Leclercq, et al.
Quality & Quantity (2022) Vol. 57, Iss. 2, pp. 1273-1302
Open Access | Times Cited: 36
Vital spreaders identification synthesizing cross entropy and information entropy with Kshell method
Tianchi Tong, Qian Dong, Jinsheng Sun, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119928-119928
Closed Access | Times Cited: 14
Centrality in Urban Networks: An Applied Comparison Between Freeman-Krafta and Betweenness Centralities
Ana Paula Neto de Faria, Gustavo Maciel Gonçalves, Alice Rauber, et al.
Communications in computer and information science (2025), pp. 32-48
Closed Access
Identifying influential nodes in complex networks based on spreading probability
Jun Ai, Tao He, Zhan Su, et al.
Chaos Solitons & Fractals (2022) Vol. 164, pp. 112627-112627
Closed Access | Times Cited: 16
Exploring influential nodes using global and local information
Haifeng Hu, Zejun Sun, Feifei Wang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
GDLC: A new Graph Deep Learning framework based on centrality measures for intrusion detection in IoT networks
Mortada Termos, Zakariya Ghalmane, Mohamed-El-Amine Brahmia, et al.
Internet of Things (2024) Vol. 26, pp. 101214-101214
Closed Access | Times Cited: 3
The Treatment of Ties in Rank-Biased Overlap
Matteo Corsi, Julián Urbano
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 251-260
Open Access | Times Cited: 3
Influential nodes identification using network local structural properties
Bin Wang, Junkai Zhang, Jinying Dai, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
A Modular Network Exploration of Backbone Extraction Techniques
Ali Yassin, Hocine Cherifi, Hamida Seba, et al.
Studies in computational intelligence (2024), pp. 296-308
Closed Access | Times Cited: 2
A measure of local uniqueness to identify linchpins in a social network with node attributes
Matthew D. Nemesure, Thomas M. Schwedhelm, Sofia Sacerdote, et al.
Applied Network Science (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 15
Weighted and Unweighted Air Transportation Component Structure: Consistency and Differences
Issa Moussa Diop, Chérif Diallo, Chantal Cherifi, et al.
Studies in computational intelligence (2024), pp. 248-260
Closed Access | Times Cited: 1
On the Hierarchical Component Structure of the World Air Transport Network
Issa Moussa Diop, Chérif Diallo, Chantal Cherifi, et al.
Studies in computational intelligence (2024), pp. 235-247
Closed Access | Times Cited: 1
On Centrality and Core in Weighted and Unweighted Air Transport Component Structures
Issa Moussa Diop, Chérif Diallo, Chantal Cherifi, et al.
Studies in computational intelligence (2024), pp. 273-285
Closed Access | Times Cited: 1
Characterization of network hierarchy reflects cell state specificity in genome organization
Jingyao Wang, Yue Xue, Yueying He, et al.
Genome Research (2023) Vol. 33, Iss. 2, pp. 247-260
Open Access | Times Cited: 3
Investigating Centrality Measures in Social Networks with Community Structure
Stephany Rajeh, Marinette Savonnet, Éric Leclercq, et al.
Studies in computational intelligence (2020), pp. 211-222
Open Access | Times Cited: 8
Comprehensive influence of topological location and neighbor information on identifying influential nodes in complex networks
Xiaohua Wang, Qing Yang, Meizhen Liu, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251208-e0251208
Open Access | Times Cited: 8
A new centrality measure based on neighbor loop structure for network dismantling
Qingxia Liu, Bang Wang, Jiming Qi, et al.
Digital Communications and Networks (2022) Vol. 10, Iss. 2, pp. 472-480
Open Access | Times Cited: 5
Robustness Analysis of the Regional and Interregional Components of the Weighted World Air Transportation Network
Issa Moussa Diop, Chérif Diallo, Chantal Cherifi, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 4
Robustness of the Weighted World Air Transportation Network Components
Issa Moussa Diop, Chantal Cherifi, Chérif Diallo, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 4
On using centrality to understand importance of entities in the Panama Papers
Mayank Kejriwal
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0248573-e0248573
Open Access | Times Cited: 5
Identifying influential nodes using overlapping modularity vitality
Stephany Rajeh, Marinette Savonnet, Éric Leclercq, et al.
(2021), pp. 257-264
Open Access | Times Cited: 5
Evaluating Network Embeddings Through the Lens of Community Structure
Jason D. Barbour, Stephany Rajeh, Sara Najem, et al.
Studies in computational intelligence (2024), pp. 440-451
Closed Access
Assessing Centrality Measures as Attack and Defense Strategies in the Global Air Transportation Network
Renaud Horacio Gaffan, Issa Moussa Diop, Ndeye Khady Aidara, et al.
(2024), pp. 1-7
Closed Access
Detecting Influential Nodes with Centrality Measures via Random Forest in Social Networks
Ndeye Khady Aidara, Issa Moussa Diop, Chérif Diallo, et al.
(2024), pp. 1-6
Closed Access
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