Shipei Huang

1.8k total citations
68 papers, 1.5k citations indexed

About

Shipei Huang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Shipei Huang has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Control and Systems Engineering, 17 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Shipei Huang's work include Stability and Control of Uncertain Systems (36 papers), Adaptive Control of Nonlinear Systems (21 papers) and Stability and Controllability of Differential Equations (16 papers). Shipei Huang is often cited by papers focused on Stability and Control of Uncertain Systems (36 papers), Adaptive Control of Nonlinear Systems (21 papers) and Stability and Controllability of Differential Equations (16 papers). Shipei Huang collaborates with scholars based in China, Taiwan and Norway. Shipei Huang's co-authors include Zhengrong Xiang, Hamid Reza Karimi, Dong‐Sing Wuu, Ray‐Hua Horng, Sheng-Han Lin, Jun Mao, San‐Yuan Huang, Chia‐Feng Lin, Zhengjiang Zhang and Yaowen Yu and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

In The Last Decade

Shipei Huang

60 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shipei Huang China 21 978 360 341 256 185 68 1.5k
Jie Mei China 20 1.4k 1.4× 281 0.8× 2.4k 6.9× 114 0.4× 310 1.7× 89 2.9k
R. Johanni Germany 6 448 0.5× 48 0.1× 44 0.1× 253 1.0× 135 0.7× 9 953
Kefu Liu China 16 785 0.8× 26 0.1× 137 0.4× 115 0.4× 603 3.3× 119 1.3k
Dan Wei China 19 89 0.1× 142 0.4× 140 0.4× 171 0.7× 183 1.0× 128 1.1k
Jan Čermák Czechia 21 186 0.2× 36 0.1× 123 0.4× 499 1.9× 61 0.3× 136 1.6k
J. Mallinson United States 17 113 0.1× 179 0.5× 65 0.2× 70 0.3× 264 1.4× 57 953
D. Navarro Spain 23 340 0.3× 92 0.3× 47 0.1× 45 0.2× 1.5k 7.9× 70 1.8k
Hong Bae Park South Korea 15 569 0.6× 12 0.0× 228 0.7× 323 1.3× 614 3.3× 45 1.2k
Aleksei V. Pokrovskiǐ Ireland 3 548 0.6× 16 0.0× 40 0.1× 237 0.9× 76 0.4× 5 897
Tianyi Lin United States 19 35 0.0× 104 0.3× 131 0.4× 109 0.4× 246 1.3× 55 1.1k

Countries citing papers authored by Shipei Huang

Since Specialization
Citations

This map shows the geographic impact of Shipei Huang'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 Shipei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipei Huang more than expected).

Fields of papers citing papers by Shipei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shipei Huang. 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 Shipei Huang. The network helps show where Shipei Huang may publish in the future.

Co-authorship network of co-authors of Shipei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shipei Huang. A scholar is included among the top collaborators of Shipei Huang 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 Shipei Huang. Shipei Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yi, et al.. (2025). Dynamic Data Reconciliation to Improve the Control Performance of Nonlinear System with Unknown Process Models. Industrial & Engineering Chemistry Research. 64(29). 14545–14559.
2.
Cai, Denise J., et al.. (2025). Neural network-based performance prediction of marine UHPC with coarse aggregates. Frontiers in Materials. 12. 1 indexed citations
3.
Huang, Shipei, et al.. (2024). H∞ security control for 2-D switched time delay systems under arbitrary delay time-variation rate and stochastic cyber attacks. Journal of the Franklin Institute. 361(18). 107290–107290.
4.
Zhang, Zhenhui, et al.. (2023). Robust adaptive Unscented Kalman Filter with gross error detection and identification for power system forecasting-aided state estimation. Journal of the Franklin Institute. 360(13). 10297–10336. 12 indexed citations
5.
Zhang, Zhenhui, et al.. (2023). Nonlinear auto regressive Elman neural network combined with unscented Kalman filter for data-driven dynamic data reconciliation in dynamic systems. Measurement Science and Technology. 34(12). 125039–125039. 1 indexed citations
6.
Xia, Tao, et al.. (2023). Dynamic data reconciliation to enhance the performance of model free adaptive control. Measurement Science and Technology. 34(6). 65105–65105. 1 indexed citations
7.
Hu, Hongsheng & Shipei Huang. (2023). Finite‐time event‐triggered control for a class of cascade switched affine nonlinear systems. Asian Journal of Control. 25(4). 3131–3143.
8.
9.
Zhang, Zhengjiang, et al.. (2021). Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise. Journal of Process Control. 108. 12–24. 9 indexed citations
10.
Zhang, Zhengjiang, et al.. (2021). Dynamic data reconciliation to improve the result of controller performance assessment based on GMVC. ISA Transactions. 117. 288–302. 7 indexed citations
11.
Zhu, Zhiliang, et al.. (2020). Accurate Position Estimation of Mobile Robot Based on Cyber-Physical-Social Systems (CPSS). IEEE Access. 8. 56359–56370. 7 indexed citations
12.
13.
Duan, Zhaoxia, et al.. (2018). Fault detection observer design for 2-D continuous nonlinear systems with finite frequency specifications. ISA Transactions. 84. 1–11. 23 indexed citations
14.
Huang, Shipei & Zhengrong Xiang. (2017). Finite-time stabilisation of a class of switched nonlinear systems with state constraints. International Journal of Control. 91(6). 1300–1313. 42 indexed citations
15.
Huang, Shipei & Zhengrong Xiang. (2016). Stability analysis of two‐dimensional switched non‐linear continuous‐time systems. IET Control Theory and Applications. 10(6). 724–729. 19 indexed citations
16.
Huang, Shipei & Zhengrong Xiang. (2015). Adaptive finite-time stabilization of a class of switched nonlinear systems using neural networks. Neurocomputing. 173. 2055–2061. 28 indexed citations
17.
Huang, Shipei, Zhengrong Xiang, & Hamid Reza Karimi. (2013). Stabilization and Controller Design of 2D Discrete Switched Systems with State Delays under Asynchronous Switching. Abstract and Applied Analysis. 2013. 1–12. 15 indexed citations
18.
Huang, Shipei & Zhengrong Xiang. (2013). Robust reliable control of uncertain 2D discrete switched systems with state delays. Transactions of the Institute of Measurement and Control. 36(1). 119–130. 20 indexed citations
19.
Huang, Shipei & Zhengrong Xiang. (2013). Robust L∞ reliable control for uncertain switched nonlinear systems with time delay under asynchronous switching. Applied Mathematics and Computation. 222. 658–670. 10 indexed citations
20.
Huang, Shipei, et al.. (2011). Distributed feedback laser with optoelectronic tunability in dye-doped cholesteric liquid crystal with coated photoconductive layer. Applied Physics B. 105(4). 689–695. 6 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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