Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Output Tracking Control of Probabilistic Boolean Control Networks
Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2019), pp. 2109-2114
Closed Access | Times Cited: 16

Showing 16 citing articles:

Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Control Systems Letters (2020), pp. 1-1
Closed Access | Times Cited: 47
Recurrent output tracking of Boolean networks
Chunfeng Jiang, Shihua Fu, Carmen Del Vecchio, et al.
Nonlinear Analysis Hybrid Systems (2025) Vol. 56, pp. 101583-101583
Open Access
Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach
Amol Yerudkar, Evangelos Chatzaroulas, Carmen Del Vecchio, et al.
Information Sciences (2022) Vol. 619, pp. 374-389
Open Access | Times Cited: 16
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Control Systems Letters (2020) Vol. 5, Iss. 5, pp. 1639-1644
Closed Access | Times Cited: 23
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Access (2020) Vol. 8, pp. 199254-199265
Open Access | Times Cited: 21
Physics-Enhanced Digital Twin based solution to control process state in a Steel Manufacturing plant
Kisan Sarda, Carmen Del Vecchio, Fabio Fruggiero, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 8, pp. 31-36
Open Access | Times Cited: 1
Aperiodic Sampled-Data Stabilization of Probabilistic Boolean Control Networks: Deep Q-learning Approach with Relaxed Bellman Operator
Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio
2022 European Control Conference (ECC) (2021), pp. 836-841
Closed Access | Times Cited: 7
Finite-time output tracking of probabilistic Boolean control networks
Anguo Zhang, Lulu Li, Yuanyuan Li, et al.
Applied Mathematics and Computation (2021) Vol. 411, pp. 126413-126413
Closed Access | Times Cited: 6
Finite-time set stabilization of probabilistic Boolean control networks via output-feedback control
Jian Yang, Shuting Zhang, Jungang Lou, et al.
Neurocomputing (2023) Vol. 572, pp. 127208-127208
Closed Access | Times Cited: 2
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
Electric vehicle routing optimization considering the inclines of roads in post-disaster charging relief
Qixing Liu, Peng Xu, Yuhu Wu
2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI) (2022), pp. 1-6
Closed 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
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
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
Sarsa-Based Output Tracking Problem of Stochastic Boolean Control Networks
Heng Zhu, Ying Wang, Hongwei Chen
2022 41st Chinese Control Conference (CCC) (2022), pp. 2204-2209
Closed Access
Model-free Self-triggered Control Co-design for Probabilistic Boolean Control Networks
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
2022 American Control Conference (ACC) (2021), pp. 380-385
Closed Access
Page 1

Scroll to top