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:
On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks
Mitsuru Toyoda, Yuhu Wu
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 6, pp. 2202-2208
Closed Access | Times Cited: 31
Mitsuru Toyoda, Yuhu Wu
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 6, pp. 2202-2208
Closed Access | Times Cited: 31
Showing 26-50 of 31 citing articles:
State Estimation via Designing Controller and State Estimation-Based Stabilization for Boolean Control Networks
Yantao Chen, Junqi Yang, Zhiqiang Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 54, Iss. 4, pp. 2206-2215
Closed Access | Times Cited: 2
Yantao Chen, Junqi Yang, Zhiqiang Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 54, Iss. 4, pp. 2206-2215
Closed Access | Times Cited: 2
Construction Method of Probabilistic Boolean Networks Based on Imperfect Information
Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita
Algorithms (2019) Vol. 12, Iss. 12, pp. 268-268
Open Access | Times Cited: 2
Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita
Algorithms (2019) Vol. 12, Iss. 12, pp. 268-268
Open Access | Times Cited: 2
Optimal Control of Probabilistic Boolean Network using Embedding Framework
K. Sonam, Sarang Sutavani, Sushama Wagh, et al.
2022 American Control Conference (ACC) (2021), pp. 1028-1033
Closed Access | Times Cited: 1
K. Sonam, Sarang Sutavani, Sushama Wagh, et al.
2022 American Control Conference (ACC) (2021), pp. 1028-1033
Closed Access | Times Cited: 1
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
K. Sonam, Sarang Sutavani, Sushama Wagh, et al.
IEEE Access (2021) Vol. 9, pp. 157068-157082
Open Access | Times Cited: 1
Random Forest Q-Learning for Feedback Stabilization of Probabilistic Boolean Control Networks
Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021), pp. 1539-1544
Closed Access | Times Cited: 1
Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021), pp. 1539-1544
Closed Access | Times Cited: 1
2020 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 31
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 31, Iss. 12, pp. 5651-5726
Open Access
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 31, Iss. 12, pp. 5651-5726
Open Access
Optimal controller design for state estimation of Boolean control networks
Yantao Chen, Junqi Yang, Lizhi Cui, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2021), pp. 577-582
Closed Access
Yantao Chen, Junqi Yang, Lizhi Cui, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2021), pp. 577-582
Closed Access
