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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:

Network Inference From Consensus Dynamics With Unknown Parameters
Yu Zhu, Michael T. Schaub, Ali Jadbabaie, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 300-315
Open Access | Times Cited: 21

Showing 21 citing articles:

Signal Processing on Simplicial Complexes
Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, et al.
Understanding complex systems (2022), pp. 301-328
Open Access | Times Cited: 16
Exact Blind Community Detection From Signals on Multiple Graphs
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, et al.
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 5016-5030
Open Access | Times Cited: 23
Joint Inference of Multiple Graphs from Matrix Polynomials
Madeline Navarro, Yuhao Wang, Antonio G. Marqués, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 20
Identifying the Topology of Undirected Networks From Diffused Non-Stationary Graph Signals
Rasoul Shafipour, Santiago Segarra, Antonio G. Marqués, et al.
IEEE Open Journal of Signal Processing (2021) Vol. 2, pp. 171-189
Open Access | Times Cited: 16
Blind Inference of Eigenvector Centrality Rankings
T. Mitchell Roddenberry, Santiago Segarra
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 3935-3946
Open Access | Times Cited: 12
Robust graph learning for classification
Subbareddy Batreddy, Aditya Siripuram, Jingxin Zhang
Signal Processing (2023) Vol. 211, pp. 109120-109120
Closed Access | Times Cited: 4
Blind Inference of Centrality Rankings from Graph Signals
T. Mitchell Roddenberry, Santiago Segarra
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020) Vol. 18, pp. 5335-5339
Open Access | Times Cited: 11
Network Topology Inference with Graphon Spectral Penalties
T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 5390-5394
Open Access | Times Cited: 7
Learning bipartite graphs from spectral templates
Subbareddy Batreddy, Aditya Siripuram, Jingxin Zhang
Signal Processing (2024) Vol. 227, pp. 109732-109732
Closed Access
Impact of Community Structure on Consensus Machine Learning
Bao Huynh, Haimonti Dutta, Dane Taylor
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering
T. Mitchell Roddenberry, Santiago Segarra
2014 48th Asilomar Conference on Signals, Systems and Computers (2020), pp. 465-469
Open Access | Times Cited: 2
On Topology Inference for Networked Dynamical Systems: Principles and Performances
Yushan Li, Jianping He, Cailian Chen, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Blind Inference of Centrality Rankings from Graph Signals
T. Mitchell Roddenberry, Santiago Segarra
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
Topology Inference for Multi-agent Cooperation under Unmeasurable Latent Input
Qing Jiao, Yushan Li, Jianping He, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Learning Bipartite Graphs from Spectral Templates
Subbareddy Batreddy, Aditya Siripuram, Jingxin Zhang
(2023)
Closed Access
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering
T. Mitchell Roddenberry, Santiago Segarra
arXiv (Cornell University) (2020)
Closed Access
Blind Inference of Eigenvector Centrality Rankings.
T. Mitchell Roddenberry, Santiago Segarra
arXiv (Cornell University) (2020)
Closed Access
Network Topology Inference with Graphon Spectral Penalties.
T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra
arXiv (Cornell University) (2020)
Closed Access
Blind Demixing of Diffused Graph Signals
Fernando J. Iglesias García, Santiago Segarra, Antonio G. Marqués
arXiv (Cornell University) (2020)
Closed Access
On the Impact of Random Actions on Opinion Dynamics
Olle Abrahamsson, Danyo Danev, Erik G. Larsson
arXiv (Cornell University) (2020)
Open Access
2020 Index IEEE Transactions on Signal and Information Processing over Networks Vol. 6

IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 790-800
Open Access
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