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 Discovery in Dynamic Networks
Giulio Rossetti, Rémy Cazabet
ACM Computing Surveys (2018) Vol. 51, Iss. 2, pp. 1-37
Open Access | Times Cited: 383

Showing 1-25 of 383 citing articles:

A survey of community search over big graphs
Yixiang Fang, Xin Huang, Lu Qin, et al.
The VLDB Journal (2019) Vol. 29, Iss. 1, pp. 353-392
Closed Access | Times Cited: 261

Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
Joakim Skarding, Bogdan Gabryś, Katarzyna Musiał
IEEE Access (2021) Vol. 9, pp. 79143-79168
Open Access | Times Cited: 208

On community structure in complex networks: challenges and opportunities
Hocine Cherifi, Gergely Palla, Bolesław K. Szymański, et al.
Applied Network Science (2019) Vol. 4, Iss. 1
Open Access | Times Cited: 147

A Comprehensive Survey on Community Detection With Deep Learning
Xing Su, Shan Xue, Fanzhen Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 4682-4702
Open Access | Times Cited: 134

Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Junaid Shuja, Kashif Bilal, Waleed Alasmary, et al.
Journal of Network and Computer Applications (2021) Vol. 181, pp. 103005-103005
Open Access | Times Cited: 117

A General framework for studying the evolution of the digital innovation ecosystem: The case of big data
Bongsug Chae
International Journal of Information Management (2018) Vol. 45, pp. 83-94
Closed Access | Times Cited: 146

CDLIB: a python library to extract, compare and evaluate communities from complex networks
Giulio Rossetti, Letizia Milli, Rémy Cazabet
Applied Network Science (2019) Vol. 4, Iss. 1
Open Access | Times Cited: 115

NDlib: a python library to model and analyze diffusion processes over complex networks
Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, et al.
International Journal of Data Science and Analytics (2017) Vol. 5, Iss. 1, pp. 61-79
Closed Access | Times Cited: 87

A survey about community detection over On-line Social and Heterogeneous Information Networks
Vincenzo Moscato, Giancarlo Sperlì
Knowledge-Based Systems (2021) Vol. 224, pp. 107112-107112
Closed Access | Times Cited: 74

A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization
Chaobo He, Xiang Fei, Qiwei Cheng, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 9, Iss. 2, pp. 440-457
Open Access | Times Cited: 74

Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions
Harvinder Singh, Sanjay Tyagi, Pardeep Kumar, et al.
Simulation Modelling Practice and Theory (2021) Vol. 111, pp. 102353-102353
Closed Access | Times Cited: 70

Temporal dynamics of coordinated online behavior: Stability, archetypes, and influence
Serena Tardelli, Leonardo Nizzoli, Maurizio Tesconi, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 20
Open Access | Times Cited: 12

Detecting sequences of system states in temporal networks
Naoki Masuda, Petter Holme
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 72

DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
Di Zhuang, J. Morris Chang, Mingchen Li
IEEE Transactions on Knowledge and Data Engineering (2019), pp. 1-1
Open Access | Times Cited: 67

Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
Eneko Osaba, Javier Del Ser, David Camacho, et al.
Applied Soft Computing (2019) Vol. 87, pp. 106010-106010
Open Access | Times Cited: 60

Multi-objective evolutionary clustering for large-scale dynamic community detection
Ying Yin, Yuhai Zhao, He Li, et al.
Information Sciences (2020) Vol. 549, pp. 269-287
Closed Access | Times Cited: 55

Robust dynamic community detection with applications to human brain functional networks
Louis‐Emmanuel Martinet, Mark Kramer, Wes Viles, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 53

A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp
Gabriel Peres Nobre, Carlos H. G. Ferreira, Jussara M. Almeida
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102757-102757
Open Access | Times Cited: 42

Theorizing Process Dynamics with Directed Graphs: A Diachronic Analysis of Digital Trace Data
Brian T. Pentland, Emmanuelle Vaast, Julie Ryan Wolf
MIS Quarterly (2021) Vol. 45, Iss. 2, pp. 967-984
Closed Access | Times Cited: 41

Network alignment and motif discovery in dynamic networks
Pietro Cinaglia, Mario Cannataro
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Closed Access | Times Cited: 34

Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
Meng Qin, Dit‐Yan Yeung
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-40
Open Access | Times Cited: 21

A Deep Semi-Supervised Community Detection Based on Point-Wise Mutual Information
Kamal Berahmand, Yuefeng Li, Yue Xu
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 3, pp. 3444-3456
Closed Access | Times Cited: 18

Tensor Based Temporal and Multilayer Community Detection for Studying Brain Dynamics During Resting State fMRI
Esraa Al-sharoa, Mahmood Al-khassaweneh, Selin Aviyente
IEEE Transactions on Biomedical Engineering (2018) Vol. 66, Iss. 3, pp. 695-709
Open Access | Times Cited: 55

Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey
Jiaqi Wen, Bogdan Gabryś, Katarzyna Musiał
IEEE Access (2022) Vol. 10, pp. 66886-66923
Open Access | Times Cited: 25

A Temporal Graph Model to Predict Chemical Transformations in Complex Dissolved Organic Matter
Philipp Plamper, Oliver J. Lechtenfeld, Peter Herzsprung, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18116-18126
Open Access | Times Cited: 15

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