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:

Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks
Ning Zhao, Dongke Zhao, Yongchao Liu
Neural Networks (2024) Vol. 174, pp. 106249-106249
Closed Access | Times Cited: 11

Showing 11 citing articles:

Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks
Liang Zhang, Zixiang Zhao, Zheng Ma, et al.
Neural Networks (2024) Vol. 179, pp. 106586-106586
Closed Access | Times Cited: 17

Practical finite-time synchronization for Lur'e systems with performance constraint and actuator faults: A memory-based quantized dynamic event-triggered control strategy
Xinzhao Hou, Huaiqin Wu, Jinde Cao
Applied Mathematics and Computation (2024) Vol. 487, pp. 129108-129108
Closed Access | Times Cited: 7

NN-based compensation control for uncertain delayed singular piecewise homogeneous jump systems with deception attacks and time-varying transition probabilities
Yanran Fu, Guangming Zhuang, Jun‐e Feng, et al.
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108573-108573
Closed Access

Neural-network-based practical specified-time resilient formation maneuver control for second-order nonlinear multi-robot systems under FDI attacks
Chuanhai Yang, Jingyi Huang, Shuang Wu, et al.
Neural Networks (2025) Vol. 186, pp. 107288-107288
Closed Access

Networked Control Systems Event Triggering Control Based on Markov Random Packet Loss Under DoS Attack
Qian Ding, Li Bo, Youwu Du, et al.
Lecture notes in electrical engineering (2025), pp. 220-229
Closed Access

Dynamic Event-Based Reachable Set Synthesis for T-S Fuzzy Hidden Semi-Markov Jump Neural Networks Under DoS Attacks
Zhihao Shen, Liang Zhang, Ning Zhao
International Journal of Fuzzy Systems (2025)
Closed Access

Resilience to deception attacks in consensus tracking control of incommensurate fractional-order power systems via adaptive RBF neural network
Amin Sharafian, Hafiz Muhammad Yasir Naeem, Inam Ullah, et al.
Expert Systems with Applications (2025), pp. 127763-127763
Closed Access

Robust Control Based on Adaptative Fuzzy Control of Double-Star Permanent Synchronous Motor Supplied by PWM Inverters for Electric Propulsion of Ships
Djamel Ziane, Samir Zeghlache, Mohamed Fouad Benkhoris, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1451-1451
Open Access | Times Cited: 2

Dynamic event‐triggered asynchronous output feedback control for discrete‐time switched systems with deception attacks
Dongke Zhao, Huiyan Zhang, Liya Li, et al.
International Journal of Robust and Nonlinear Control (2024) Vol. 34, Iss. 17, pp. 11725-11744
Closed Access | Times Cited: 2

Observer‐Based Switching‐Like Adaptive‐Triggered Resilient Coordination Control of Discrete Singular Systems Under DI Attacks with Uncertain Occurrence Probabilities
Yanan Meng, Guangming Zhuang, Yanqian Wang, et al.
International Journal of Robust and Nonlinear Control (2024)
Closed Access | Times Cited: 1

Adaptive Fault-Tolerant Reachable Set Synthesis for Nonlinear Singular Hidden Semi-Markov Jump Systems Via Event-Triggered Approach
Zhihao Shen, Liang Zhang, Zheng Ma, et al.
Circuits Systems and Signal Processing (2024)
Closed Access

Asynchronous dynamic output feedback control for Markovian jump complex networks with actuator saturation and cyber attacks
Li Shu, Shengyuan Xu
Journal of the Franklin Institute (2024) Vol. 362, Iss. 1, pp. 107447-107447
Closed Access

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