Shixi Hou

1.2k total citations · 1 hit paper
49 papers, 1.0k citations indexed

About

Shixi Hou is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shixi Hou has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Control and Systems Engineering, 31 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Shixi Hou's work include Power Quality and Harmonics (26 papers), Microgrid Control and Optimization (23 papers) and Adaptive Control of Nonlinear Systems (11 papers). Shixi Hou is often cited by papers focused on Power Quality and Harmonics (26 papers), Microgrid Control and Optimization (23 papers) and Adaptive Control of Nonlinear Systems (11 papers). Shixi Hou collaborates with scholars based in China and United States. Shixi Hou's co-authors include Juntao Fei, Yundi Chu, Chen Chen, Chen Chen, Yunmei Fang, Boyan Jiang, Guangfu Ma, Chuanjiang Li, Cheng Wang and Xinyi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Shixi Hou

45 papers receiving 984 citations

Hit Papers

Adaptive Global Sliding-Mode Control for Dynamic Systems ... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shixi Hou China 17 709 478 152 81 80 49 1.0k
Yunmei Fang China 15 638 0.9× 331 0.7× 115 0.8× 112 1.4× 72 0.9× 43 925
Yundi Chu China 11 467 0.7× 281 0.6× 110 0.7× 70 0.9× 57 0.7× 20 682
Hassan Yousef Egypt 18 901 1.3× 730 1.5× 199 1.3× 77 1.0× 122 1.5× 97 1.3k
Shubhi Purwar India 17 778 1.1× 484 1.0× 86 0.6× 40 0.5× 88 1.1× 88 966
Sridhar Seshagiri United States 17 997 1.4× 360 0.8× 133 0.9× 102 1.3× 74 0.9× 42 1.3k
Horst Schulte Germany 17 661 0.9× 395 0.8× 98 0.6× 183 2.3× 61 0.8× 108 966
Chih‐Hong Lin Taiwan 16 687 1.0× 512 1.1× 302 2.0× 126 1.6× 51 0.6× 88 1.0k
Francisco Gordillo Spain 22 1.1k 1.5× 506 1.1× 403 2.7× 101 1.2× 98 1.2× 112 1.6k
Khalid Mehmood Cheema Pakistan 18 583 0.8× 586 1.2× 191 1.3× 48 0.6× 30 0.4× 55 964
Reza Shahnazi Iran 16 675 1.0× 314 0.7× 169 1.1× 88 1.1× 143 1.8× 33 964

Countries citing papers authored by Shixi Hou

Since Specialization
Citations

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

Fields of papers citing papers by Shixi Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shixi Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Shixi Hou. A scholar is included among the top collaborators of Shixi Hou 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 Shixi Hou. Shixi Hou 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.
Yang, Tao, et al.. (2025). Short-Term Offshore Wind Power Forecasting Based on Dynamic Trend Clustering of Meteorological Factors. IEEE Transactions on Instrumentation and Measurement. 74. 1–16. 1 indexed citations
2.
Cui, Yong, et al.. (2025). Entropy-driven multi agent deep reinforcement learning for resilient distribution networks: coordinating MESS and microgrids. International Journal of Electrical Power & Energy Systems. 170. 110968–110968.
3.
Li, Haixia, et al.. (2025). Global Perceptual Emotional Neural Network Control for Active Power Filters Under Dynamic Conditions. IEEE Transactions on Consumer Electronics. 71(3). 7798–7812.
4.
Hou, Shixi, et al.. (2024). Robust adaptive learning control using spiking-based self-organizing emotional neural network for a class of nonlinear systems with uncertainties. Engineering Applications of Artificial Intelligence. 136. 109039–109039. 7 indexed citations
5.
Hou, Shixi, et al.. (2024). Hybrid Intelligent Control Using Hippocampus-Based Fuzzy Neural Networks for Active Power Filter. IEEE Transactions on Power Electronics. 39(12). 15924–15942. 2 indexed citations
6.
Hou, Shixi, et al.. (2024). Emotional Intelligent Finite-Time Tracking Control for a Class of Nonlinear Systems. IEEE Internet of Things Journal. 11(11). 20421–20432. 1 indexed citations
7.
Chu, Yundi, et al.. (2024). Self-organizing feature selection fuzzy neural network-based terminal sliding mode control for uncertain nonlinear systems. ISA Transactions. 154. 171–185. 1 indexed citations
8.
Li, Wenyun, et al.. (2023). An Improved Deep Reinforcement Learning Method for Dispatch Optimization Strategy of Modern Power Systems. Entropy. 25(3). 546–546. 9 indexed citations
9.
Hou, Shixi, et al.. (2023). Bearing fault diagnosis method using the joint feature extraction of Transformer and ResNet. Measurement Science and Technology. 34(7). 75108–75108. 38 indexed citations
10.
Hou, Shixi, et al.. (2023). Robust hybrid intelligent control using probabilistic feature for active power filter. Control Engineering Practice. 141. 105712–105712. 3 indexed citations
11.
Hou, Shixi, et al.. (2022). Neural network based recursive terminal sliding mode control and its application to active power filters. International Journal of Adaptive Control and Signal Processing. 37(1). 2–19. 1 indexed citations
12.
Hou, Shixi, Yundi Chu, & Juntao Fei. (2021). Robust Intelligent Control for a Class of Power-Electronic Converters Using Neuro-Fuzzy Learning Mechanism. IEEE Transactions on Power Electronics. 36(8). 9441–9452. 29 indexed citations
13.
Hou, Shixi, et al.. (2020). Modified fuzzy neural network control using sliding mode technique for power quality improvement system with experimental verification. IET Control Theory and Applications. 14(19). 3029–3037. 9 indexed citations
14.
Hou, Shixi, et al.. (2019). Continuous Terminal Sliding Mode Control for Active Power Filter. 593–598. 1 indexed citations
15.
Hou, Shixi, et al.. (2019). Experimental Investigation of Adaptive Fuzzy Global Sliding Mode Control of Single-Phase Shunt Active Power Filters. IEEE Access. 7. 64442–64449. 33 indexed citations
16.
Chu, Yundi, Juntao Fei, & Shixi Hou. (2017). Dynamic global proportional integral derivative sliding mode control using radial basis function neural compensator for three-phase active power filter. Transactions of the Institute of Measurement and Control. 40(12). 3549–3559. 73 indexed citations
17.
Hou, Shixi & Juntao Fei. (2015). Adaptive fuzzy backstepping control of three-phase active power filter. Control Engineering Practice. 45. 12–21. 44 indexed citations
18.
Fei, Juntao, et al.. (2013). Adaptive global fast terminal sliding mode control of MEMS gyroscope. Chinese Control Conference. 3135–3140. 7 indexed citations
19.
Fei, Juntao & Shixi Hou. (2013). Adaptive fuzzy-sliding control with fuzzy-sliding switching for three-phase active power filter. Transactions of the Institute of Measurement and Control. 35(8). 1094–1103. 17 indexed citations
20.
Fei, Juntao, et al.. (2012). A new adaptive fuzzy sliding mode controller for trajectory tracking of MEMS triaxial gyroscope. Chinese Control Conference. 3482–3487. 1 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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