M. Hou

840 citations
11 papers · 638 · h-index 8

Impact in

    • Fault Detection and Control Systems
    • Control Systems and Identification
    • Stability and Control of Uncertain Systems
    • Advanced Control Systems Optimization
    • Adaptive Control of Nonlinear Systems
    • Advanced Data Processing Techniques
    • Machine Fault Diagnosis Techniques

Papers in

    • Stability and Control of Uncertain Systems 6
    • Fault Detection and Control Systems 6
    • Adaptive Control of Nonlinear Systems 5
    • Control Systems and Identification 4
    • Advanced Control Systems Optimization 2
    • Control and Dynamics of Mobile Robots 1

M. Hou

10 papers receiving 610 citations

Peers

M. Hou
Comparison fields: 5 of 41
  • Control and Systems Engineering 613
  • Computational Theory and Mathematics 38
  • Numerical Analysis 12
  • Statistics, Probability and Uncertainty 15
  • Artificial Intelligence 53
Replace Ν. Schiavoni with:
Ν. Schiavoni Italy
Rôman Kuiava Brazil
Anders Helmersson Sweden
Noboru Sebe Japan
J.-F. Magni France
K.M. Sobel United States
A. Edelmayer Hungary
Ching‐Fang Lin United States
Efim N. Rosenwasser Germany
J. Abedor United States
M. Hou relative to Ν. Schiavoni Italy Ν. Schiavoni's profile →
Citations per field
00.5×
Ν. Schiavoni · 1×
Citations per year

Countries citing papers authored by M. Hou

Since Specialization
Citations

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

Fields of papers citing papers by M. Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside M. Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Hou Line = papers co-authored together M. Hou links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown

About M. Hou

M. Hou is a scholar working on Control and Systems Engineering, Numerical Analysis, Statistical and Nonlinear Physics, Mechanics of Materials and Computational Mechanics, having authored 11 papers that have together received 638 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (6 papers), Fault Detection and Control Systems (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Control Systems and Identification (4 papers), Advanced Control Systems Optimization (2 papers), Electromagnetic Simulation and Numerical Methods (1 paper), Numerical methods in engineering (1 paper) and Control and Dynamics of Mobile Robots (1 paper). The work is most often cited by research in Control and Systems Engineering (613 citations), Computational Theory and Mathematics (38 citations), Numerical Analysis (12 citations), Statistics, Probability and Uncertainty (15 citations) and Artificial Intelligence (53 citations). M. Hou has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Peter C. Müller, Ron J. Patton, A.C. Pugh and G.E. Hayton. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Control, Numerical Mathematics Theory Methods and Applications and IFAC Proceedings Volumes.

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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