Ju H. Park

1.1k total citations · 1 hit paper
13 papers, 962 citations indexed

About

Ju H. Park is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ju H. Park has authored 13 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Control and Systems Engineering and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ju H. Park's work include Neural Networks Stability and Synchronization (9 papers), Stability and Control of Uncertain Systems (8 papers) and Control Systems and Identification (3 papers). Ju H. Park is often cited by papers focused on Neural Networks Stability and Synchronization (9 papers), Stability and Control of Uncertain Systems (8 papers) and Control Systems and Identification (3 papers). Ju H. Park collaborates with scholars based in South Korea, China and Australia. Ju H. Park's co-authors include Yajuan Liu, Bao‐Zhu Guo, Jun Cheng, Lixian Zhang, Yanzheng Zhu, Sangmoon Lee, Xiao‐Heng Chang, Peng Shi, Hieu Trinh and Tae-Hee Lee and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Ju H. Park

10 papers receiving 957 citations

Hit Papers

An Asynchronous Operation Approach to Event-Triggered Con... 2016 2026 2019 2022 2016 50 100 150 200

Peers

Ju H. Park
Ju H. Park
Citations per year, relative to Ju H. Park Ju H. Park (= 1×) peers Mengping Xing

Countries citing papers authored by Ju H. Park

Since Specialization
Citations

This map shows the geographic impact of Ju H. Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ju H. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju H. Park more than expected).

Fields of papers citing papers by Ju H. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju H. Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ju H. Park. The network helps show where Ju H. Park may publish in the future.

Co-authorship network of co-authors of Ju H. Park

This figure shows the co-authorship network connecting the top 25 collaborators of Ju H. Park. A scholar is included among the top collaborators of Ju H. Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ju H. Park. Ju H. Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Chen, Lei, Wen Qin, Ju H. Park, & Mouquan Shen. (2024). Consensus of second-order nolinear multi-agent systems with a smart leader via impulsive control. 2680–2685.
4.
Long, Yue, Ju H. Park, & Dan Ye. (2019). Finite frequency fault detection for a class of nonhomogeneous Markov jump systems with nonlinearities and sensor failures. Nonlinear Dynamics. 96(1). 285–299. 26 indexed citations
5.
Wang, Xin, Ju H. Park, Huilan Yang, Guozhu Zhao, & Shouming Zhong. (2019). An Improved Fuzzy Sampled-Data Control to Stabilization of T–S Fuzzy Systems With State Delays. IEEE Transactions on Cybernetics. 50(7). 3125–3135. 76 indexed citations
6.
Liu, Yajuan, Ju H. Park, Bao‐Zhu Guo, Fang Fang, & Funa Zhou. (2018). Event‐triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities. International Journal of Robust and Nonlinear Control. 28(13). 3893–3908. 54 indexed citations
7.
Wang, Xin, Ju H. Park, Kun She, Shouming Zhong, & Lin Shi. (2018). Stabilization of Chaotic Systems With T–S Fuzzy Model and Nonuniform Sampling: A Switched Fuzzy Control Approach. IEEE Transactions on Fuzzy Systems. 27(6). 1263–1271. 65 indexed citations
8.
Lee, Tae-Hee, Hieu Trinh, & Ju H. Park. (2017). Stability Analysis of Neural Networks With Time-Varying Delay by Constructing Novel Lyapunov Functionals. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4238–4247. 104 indexed citations
9.
Kao, Yonggui, Tianshu Yang, & Ju H. Park. (2017). Exponential stability of switched Markovian jumping neutral‐type systems with generally incomplete transition rates. International Journal of Robust and Nonlinear Control. 28(5). 1583–1596. 30 indexed citations
10.
Cheng, Jun, Ju H. Park, Lixian Zhang, & Yanzheng Zhu. (2016). An Asynchronous Operation Approach to Event-Triggered Control for Fuzzy Markovian Jump Systems With General Switching Policies. IEEE Transactions on Fuzzy Systems. 26(1). 6–18. 242 indexed citations breakdown →
11.
Chang, Xiao‐Heng, Ju H. Park, & Peng Shi. (2016). Fuzzy Resilient Energy-to-Peak Filtering for Continuous-Time Nonlinear Systems. IEEE Transactions on Fuzzy Systems. 25(6). 1576–1588. 126 indexed citations
12.
Liu, Yajuan, Bao‐Zhu Guo, Ju H. Park, & Sangmoon Lee. (2016). Nonfragile Exponential Synchronization of Delayed Complex Dynamical Networks With Memory Sampled-Data Control. IEEE Transactions on Neural Networks and Learning Systems. 29(1). 118–128. 214 indexed citations
13.
Park, Ju H. & Ho Youl Jung. (2003). On the design of nonfragile guaranteed cost controller for a class of uncertain dynamic systems with state delays. Applied Mathematics and Computation. 150(1). 245–257. 25 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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