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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:

Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes
Tatsuya Akutsu, Avraham A. Melkman
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 30, Iss. 8, pp. 2383-2396
Closed Access | Times Cited: 11

Showing 11 citing articles:

Parameter Learning of Probabilistic Boolean Control Networks with Input-Output Data
Hongwei Chen, Qi Chen, Bo Shen, et al.
International Journal of Network Dynamics and Intelligence (2024), pp. 100005-100005
Open Access | Times Cited: 2
Model Evaluation of the Stochastic Boolean Control Networks
Hongwei Chen, Zidong Wang, Bo Shen, et al.
IEEE Transactions on Automatic Control (2021) Vol. 67, Iss. 8, pp. 4146-4153
Open Access | Times Cited: 14
Identification of a Class of Singular Boolean Control Networks
Rong Zhao, Jun‐e Feng, Qingchun Meng, et al.
Information Sciences (2024) Vol. 691, pp. 121627-121627
Closed Access | Times Cited: 1
Identification and stabilization of faulty Boolean control networks
Zhaoqi Liu, Haitao Li
Journal of the Franklin Institute (2023) Vol. 360, Iss. 14, pp. 10457-10475
Closed Access | Times Cited: 3
Controllability of Markovian jump Boolean control networks: A graphical approach
Qingle Zhang, Jun‐e Feng, Peixin Zhao
Neurocomputing (2022) Vol. 498, pp. 89-97
Closed Access | Times Cited: 5
Optimal reconstruction of noisy dynamics and selection probabilities in Boolean networks
Koichi Kobayashi, Yuhu Wu
Automatica (2021) Vol. 136, pp. 110094-110094
Open Access | Times Cited: 6
Recursive Network Estimation for a Model With Binary-Valued States
Yu Xing, Xingkang He, Haitao Fang, et al.
IEEE Transactions on Automatic Control (2022), pp. 1-16
Closed Access | Times Cited: 4
New results on model reconstruction of Boolean networks with application to gene regulatory networks
Rong Zhao, Biao Wang, Lei Han, et al.
Mathematical Methods in the Applied Sciences (2022) Vol. 46, Iss. 4, pp. 3741-3757
Closed Access | Times Cited: 4
Optimal control of probabilistic Boolean control networks: A scalable infinite horizon approach
Sonam Kharade, Sarang Sutavani, Sushama Wagh, et al.
International Journal of Robust and Nonlinear Control (2021) Vol. 33, Iss. 9, pp. 4945-4966
Closed Access | Times Cited: 5
Optimal Control of Probabilistic Boolean Networks: An Information-Theoretic Approach
K. Sonam, Sarang Sutavani, Sushama Wagh, et al.
IEEE Access (2021) Vol. 9, pp. 157068-157082
Open Access | Times Cited: 1
Recursive Network Estimation From Binary-Valued Observation Data
Yu Xing, Xingkang He, Haitao Fang, et al.
arXiv (Cornell University) (2019)
Open Access
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