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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:

Probabilistic graphical models in modern social network analysis
Alireza Farasat, Alexander Nikolaev, Sargur N. Srihari, et al.
Social Network Analysis and Mining (2015) Vol. 5, Iss. 1
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

The Future of False Information Detection on Social Media
Bin Guo, Yasan Ding, Lina Yao, et al.
ACM Computing Surveys (2020) Vol. 53, Iss. 4, pp. 1-36
Closed Access | Times Cited: 98
MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence
Lin Li, Lijie Wen, Jianmin Wang
Society for Industrial and Applied Mathematics eBooks (2019), pp. 118-126
Open Access | Times Cited: 83
An enhanced graph-based semi-supervised learning algorithm to detect fake users on Twitter
BalaAnand Muthu, N. Karthikeyan, S. Karthik, et al.
The Journal of Supercomputing (2019) Vol. 75, Iss. 9, pp. 6085-6105
Closed Access | Times Cited: 80
Fake review detection on online E-commerce platforms: a systematic literature review
Himangshu Paul, Alexander Nikolaev
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 5, pp. 1830-1881
Closed Access | Times Cited: 59
A multidimensional network link prediction algorithm and its application for predicting social relationships
Guanghui Wang, Yufei Wang, Jimei Li, et al.
Journal of Computational Science (2021) Vol. 53, pp. 101358-101358
Closed Access | Times Cited: 28
Open vs closed-ended questions in attitudinal surveys – Comparing, combining, and interpreting using natural language processing
Vishnu Baburajan, João de Abreu e Silva, Francisco C. Pereira
Transportation Research Part C Emerging Technologies (2022) Vol. 137, pp. 103589-103589
Open Access | Times Cited: 20
Social Network Analysis With Data Fusion
Alireza Farasat, Geoffrey Gross, Rakesh Nagi, et al.
IEEE Transactions on Computational Social Systems (2016) Vol. 3, Iss. 2, pp. 88-99
Closed Access | Times Cited: 31
Latent Variable Time-varying Network Inference
Federico Tomasi, Veronica Tozzo, Saverio Salzo, et al.
(2018), pp. 2338-2346
Open Access | Times Cited: 18
A network approach to dyslexia: Mapping the reading network
Cara Verwimp, Jurgen Tijms, Patrick Snellings, et al.
Development and Psychopathology (2021) Vol. 35, Iss. 3, pp. 1011-1025
Open Access | Times Cited: 12
Dynamical Networks of Social Influence: Modern Trends and Perspectives
Brian D. O. Anderson, Fabrizio Dabbene, Anton V. Proskurnikov, et al.
IFAC-PapersOnLine (2020) Vol. 53, Iss. 2, pp. 17616-17627
Open Access | Times Cited: 12
Probabilistic Community Using Link and Content for Social Networks
Shuai Zhao, Le Yu, Bo Cheng
IEEE Access (2017) Vol. 5, pp. 27189-27202
Open Access | Times Cited: 11
Network representation based on the joint learning of three feature views
Zhonglin Ye, Haixing Zhao, Ke Zhang, et al.
Big Data Mining and Analytics (2019) Vol. 2, Iss. 4, pp. 248-260
Open Access | Times Cited: 10
bAIcis: A Novel Bayesian Network Structural Learning Algorithm and Its Comprehensive Performance Evaluation Against Open-Source Software
Lixia Zhang, Leonardo O. Rodrigues, Niven R. Narain, et al.
Journal of Computational Biology (2019) Vol. 27, Iss. 5, pp. 698-708
Open Access | Times Cited: 9
On Link Stability Detection for Online Social Networks
Ji Zhang, Xiaohui Tao, Leonard Tan, et al.
Lecture notes in computer science (2018), pp. 320-335
Closed Access | Times Cited: 8
A review of Gaussian Markov models for conditional independence
Irene Córdoba, Concha Bielza, Pedro Larrañaga
Journal of Statistical Planning and Inference (2019) Vol. 206, pp. 127-144
Open Access | Times Cited: 8
Fast Bayesian inference of Sparse Networks with automatic sparsity determination
Hang Yu, Songwei Wu, Luyin Xin, et al.
Journal of Machine Learning Research (2020) Vol. 21, Iss. 124, pp. 1-54
Closed Access | Times Cited: 4
Algebraic Bayesian Networks: Local Probabilistic-Logic Inference Machine Architecture and Set of Minimal Joint Graphs
Ekaterina A. Mal’chevskaya, Alexey I. Berezin, Andrey A. Zolotin, et al.
Advances in intelligent systems and computing (2016), pp. 69-79
Closed Access | Times Cited: 3
Temporal Graph Representation Learning via Maximal Cliques
Shima Khoshraftar, Aijun An, Nastaran Babanejad
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 606-615
Closed Access | Times Cited: 3
Temporal Pattern Detection in Time-Varying Graphical Models
Federico Tomasi, Veronica Tozzo, Annalisa Barla
2022 26th International Conference on Pattern Recognition (ICPR) (2021)
Closed Access | Times Cited: 4
Network effects in influenza spread: The impact of mobility and socio-economic factors
Courtney Burris, Alexander Nikolaev, Shiran Zhong, et al.
Socio-Economic Planning Sciences (2021) Vol. 78, pp. 101081-101081
Open Access | Times Cited: 4
Detecting Relational States in Online Social Networks
Ji Zhang, Leonard Tan, Xiaohui Tao, et al.
(2018), pp. 38-43
Closed Access | Times Cited: 3
A Comprehensive Survey on Information Diffusion Models for Social Media Text
A. M. Abirami, S. Sumitra
Advances in information security, privacy, and ethics book series (2023), pp. 162-186
Closed Access | Times Cited: 1
Region Detection in Markov Random Fields: Gaussian Case
Ilya Soloveychik, Vahid Tarokh
arXiv (Cornell University) (2018)
Open Access | Times Cited: 2
Tri-party deep network representation learning using inductive matrix completion
Zhonglin Ye, Haixing Zhao, Ke Zhang, et al.
Journal of Central South University (2019) Vol. 26, Iss. 10, pp. 2746-2758
Closed Access | Times Cited: 2
Predicting business processes of the social insurance using recurrent neural network and Markov chain
Mehrdad Fadaei PellehShahi, Sohrab Kordrostami, A. H. Refahi Sheikhani, et al.
Journal of Modelling in Management (2021) Vol. 17, Iss. 3, pp. 941-963
Closed Access | Times Cited: 1
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