Muzhou Hou

1.6k total citations
83 papers, 1.1k citations indexed

About

Muzhou Hou is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Muzhou Hou has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 11 papers in Management Science and Operations Research. Recurrent topics in Muzhou Hou's work include Machine Learning and ELM (21 papers), Neural Networks and Applications (20 papers) and Model Reduction and Neural Networks (13 papers). Muzhou Hou is often cited by papers focused on Machine Learning and ELM (21 papers), Neural Networks and Applications (20 papers) and Model Reduction and Neural Networks (13 papers). Muzhou Hou collaborates with scholars based in China, United States and South Korea. Muzhou Hou's co-authors include Yunlei Yang, Zheng Wang, Futian Weng, Yinghao Chen, Tianle Zhang, Xuli Han, Fanggen Lu, Xiaowei Liu, Ying Xiao and Xiao‐Liang Xie and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Muzhou Hou

74 papers receiving 1.1k citations

Peers

Muzhou Hou
Choujun Zhan China
Muhammad Sulaiman Pakistan
Dilber Uzun Ozsahin Cyprus
Futian Weng China
Mohsen Maleki Iran
Ruochen Liu China
Xiangmin Zhou Australia
Yanping Bai China
Zlatan Car Croatia
Rodrigo Silva Brazil
Choujun Zhan China
Muzhou Hou
Citations per year, relative to Muzhou Hou Muzhou Hou (= 1×) peers Choujun Zhan

Countries citing papers authored by Muzhou Hou

Since Specialization
Citations

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

Fields of papers citing papers by Muzhou Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muzhou Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Muzhou Hou. A scholar is included among the top collaborators of Muzhou 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 Muzhou Hou. Muzhou 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.
Hou, Muzhou, et al.. (2025). ACENet: Adaptive correlation-enhanced network for multivariate time series forecasting. Digital Signal Processing. 167. 105424–105424. 1 indexed citations
2.
Asif, Muhammad, et al.. (2025). Aczel-Alsina aggregation operators for linear diophantine fuzzy set and their application to multiple-attribute decision making problems. Expert Systems with Applications. 271. 126552–126552. 1 indexed citations
3.
Cao, Cong, et al.. (2025). Personalized music recommendation algorithm based on machine learning. Multimedia Systems. 31(3).
4.
5.
Hou, Muzhou, et al.. (2024). A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis. Multimedia Tools and Applications. 83(36). 83747–83767. 1 indexed citations
6.
Ahmad, Waseem, M. Israr Ur Rehman, Aamir Hamid, & Muzhou Hou. (2024). Heat and mass transfer analysis for thermally radiative Sutterby fluid along a stretching cylinder with Cattaneo–Christov heat flux theory. Journal of Thermal Analysis and Calorimetry. 150(4). 2961–2973. 16 indexed citations
7.
Asif, Muhammad, et al.. (2024). Aczel-Alsina Aggregation Operators for Pythagorean Fuzzy Linear Diophantine Set and Application to Multiple-Attribute Decision-Making Problem Related to Medical Diagnosis. International Journal of Fuzzy Systems. 27(5). 1406–1420. 2 indexed citations
8.
Li, Jingming, et al.. (2024). Lightweight Attentive Graph Neural Network with Conditional Random Field for Diagnosis of Anterior Cruciate Ligament Tear. Journal of Imaging Informatics in Medicine. 37(2). 688–705. 3 indexed citations
9.
Ahmad, Waseem, et al.. (2024). Numerical investigation of bioconvection flow of Sutterby nanofluid with Darcy–Forchheimer porous media past an inclined stretching cylinder. The European Physical Journal Plus. 139(9). 11 indexed citations
10.
Hou, Muzhou, et al.. (2023). Efficient predictor of pressurized water reactor safety parameters by topological information embedded convolutional neural network. Annals of Nuclear Energy. 192. 110004–110004. 7 indexed citations
11.
Hou, Muzhou, et al.. (2023). DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems. Expert Systems with Applications. 243. 122880–122880. 5 indexed citations
12.
Yang, Yunlei, et al.. (2023). Solving Emden–Fowler Equations Using Improved Extreme Learning Machine Algorithm Based on Block Legendre Basis Neural Network. Neural Processing Letters. 55(6). 7135–7154. 4 indexed citations
13.
Cao, Cong, et al.. (2023). Structure-constrained deep feature fusion for chronic otitis media and cholesteatoma identification. Multimedia Tools and Applications. 82(29). 45869–45889. 1 indexed citations
14.
15.
Xiong, Dan, et al.. (2022). New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness. Journal of Ambient Intelligence and Humanized Computing. 14(9). 12789–12805. 43 indexed citations
16.
Wang, Zheng, et al.. (2021). Deep learning for tracing esophageal motility function over time. Computer Methods and Programs in Biomedicine. 207. 106212–106212. 7 indexed citations
17.
Wang, Zheng, et al.. (2021). Deep learning for abdominal adipose tissue segmentation with few labelled samples. International Journal of Computer Assisted Radiology and Surgery. 17(3). 579–587. 3 indexed citations
18.
Wang, Zheng, Ying Xiao, Futian Weng, et al.. (2021). R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks. Journal of Digital Imaging. 34(2). 337–350. 11 indexed citations
19.
Wang, Zheng, Yu Meng, Futian Weng, et al.. (2019). An Effective CNN Method for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans. Annals of Biomedical Engineering. 48(1). 312–328. 32 indexed citations
20.
Hou, Muzhou. (2007). Analysis on Signaling Game in Estate Dealings. Journal of Chongqing Institute of Technology.

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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