Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
From model-based control to data-driven control: Survey, classification and perspective
Countries citing papers authored by Zhongsheng Hou
Since
Specialization
Citations
This map shows the geographic impact of Zhongsheng 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 Zhongsheng Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongsheng Hou more than expected).
This network shows the impact of papers produced by Zhongsheng 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 Zhongsheng Hou. The network helps show where Zhongsheng Hou may publish in the future.
Co-authorship network of co-authors of Zhongsheng Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongsheng Hou.
A scholar is included among the top collaborators of Zhongsheng 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 Zhongsheng Hou. Zhongsheng Hou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hou, Zhongsheng, et al.. (2019). A Controller-Dynamic-Linearization-Based Model Predictive Control Approach for SISO Discrete-time Nonlinear Systems. Asian Control Conference. 1054–1059.1 indexed citations
11.
Hou, Zhongsheng, et al.. (2013). An efficient Trojan delivery of tetrandrine by poly(N-vinylpyrrolidone)-block-poly(ε-caprolactone) (PVP-b-PCL) nanoparticles shows enhanced apoptotic induction of lung cancer cells and inhibition of its migration and invasion. SHILAP Revista de lepidopterología.10 indexed citations
12.
Yu, Fashan & Zhongsheng Hou. (2012). Iterative learning control for a class of nonlinear systems with measurement dropouts. Control theory & applications.5 indexed citations
13.
Chi, Ronghu, et al.. (2012). A discrete-time adaptive iterative learning from different reference trajectory for linear time-varying systems. Chinese Control Conference. 3013–3016.3 indexed citations
14.
Chi, Ronghu, Zhongsheng Hou, Shangtai Jin, & Danwei Wang. (2012). A data-driven design of optimal ILC for nonlinear systems. Chinese Control Conference. 7076–7079.1 indexed citations
15.
Chi, Ronghu, Zhongsheng Hou, Shangtai Jin, & Danwei Wang. (2012). Adaptive ILC for a class of nonlinear discrete-time systems without matching conditions on initial state and reference trajectory. Chinese Control Conference. 3009–3012.2 indexed citations
16.
Hou, Zhongsheng. (2012). Application of adaptive single-exponent smoothing for short-term traffic flow prediction. Control theory & applications.7 indexed citations
17.
Hou, Zhongsheng, et al.. (2011). The iterative learning approach for vehicle queuing length balanced-control of the signalized isolated intersection. Chinese Control Conference. 5556–5561.1 indexed citations
18.
Hou, Zhongsheng. (2007). Study on Energy-saving Control for Train Based on Genetic Algorithm. Jisuanji fangzhen.11 indexed citations
19.
Hou, Zhongsheng. (2007). Study of model-free adaptive control method in permanent magnet linear motor. Jisuanji gongcheng yu sheji.3 indexed citations
20.
Hou, Zhongsheng. (2006). Fuzzy Non-Parameter Model Adaptive Control Method Based on Neural Networks and Simulations. Jisuanji fangzhen.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.