He‐Qing Mu

715 total citations
25 papers, 614 citations indexed

About

He‐Qing Mu is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering. According to data from OpenAlex, He‐Qing Mu has authored 25 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 6 papers in Statistics, Probability and Uncertainty and 4 papers in Mechanical Engineering. Recurrent topics in He‐Qing Mu's work include Structural Health Monitoring Techniques (19 papers), Infrastructure Maintenance and Monitoring (14 papers) and Probabilistic and Robust Engineering Design (6 papers). He‐Qing Mu is often cited by papers focused on Structural Health Monitoring Techniques (19 papers), Infrastructure Maintenance and Monitoring (14 papers) and Probabilistic and Robust Engineering Design (6 papers). He‐Qing Mu collaborates with scholars based in China, Macao and United States. He‐Qing Mu's co-authors include Ka‐Veng Yuen, Sin‐Chi Kuok, Cheng Su, Rongrong Xu, Zhenjie Zheng, Xiaohuan Wu, Zitong Zhao, Qin Hu, Feng‐Liang Zhang and Tianyu Zhang and has published in prestigious journals such as Sensors, Engineering Structures and Journal of Engineering Mechanics.

In The Last Decade

He‐Qing Mu

25 papers receiving 597 citations

Peers

He‐Qing Mu

CSE

SPU

Xiaoming Lei China

Kalil Erazo United States

Sheng Zhan Hong Kong

Han Sun United States

Evangelos Katsanos Denmark

Hilmi Luş Türkiye

Jiaxu Shen China

Tengfei Bao China

Eoghan Maguire United Kingdom

S.M. Seyedpoor Iran

Xiaoming Lei China

He‐Qing Mu

631 ×1.3

CSE

86 ×0.7

69 ×0.7

CSE

27 ×0.3

SPU

68 ×0.9

Citations per year, relative to He‐Qing Mu He‐Qing Mu (= 1×) peers Xiaoming Lei

Countries citing papers authored by He‐Qing Mu

Since Specialization

Citations

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

Fields of papers citing papers by He‐Qing Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He‐Qing Mu. 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 He‐Qing Mu. The network helps show where He‐Qing Mu may publish in the future.

Co-authorship network of co-authors of He‐Qing Mu

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

All Works

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20 of 20 papers shown

Yuen, Ka‐Veng, et al.. (2024). Real-time Bayesian axle load estimation and structural identification of railway bridges under train loads based on strain monitoring. Engineering Structures. 322. 119195–119195. 3 indexed citations

Mu, He‐Qing, Zitong Zhao, & Ka‐Veng Yuen. (2024). Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 18(1). 85–106. 2 indexed citations

Yuen, Ka‐Veng, Zitong Zhao, He‐Qing Mu, & Wei Shao. (2024). Analytical Bayesian Copula‐Based Uncertainty Quantification (A‐BASIC‐UQ) Using Data with Missing Values in Structural Health Monitoring. Structural Control and Health Monitoring. 2024(1). 1 indexed citations

Zhang, Feng‐Liang, et al.. (2024). Multicase structural damage classification based on semisupervised generative adversarial network. Structural Health Monitoring. 24(4). 2475–2503. 2 indexed citations

Zhao, Zitong, He‐Qing Mu, & Ka‐Veng Yuen. (2023). Probability density function modelling and credible region construction for multivariate, asymmetric, and multimodal distributions of geotechnical data. Structural Safety. 107. 102429–102429. 2 indexed citations

Yuen, Ka‐Veng, et al.. (2023). Bayesian Vehicle Load Estimation, Vehicle Position Tracking, and Structural Identification for Bridges with Strain Measurement. Structural Control and Health Monitoring. 2023. 1–33. 6 indexed citations

Mu, He‐Qing, et al.. (2022). Analysis of Structural Health Monitoring Data with Correlated Measurement Error by Bayesian System Identification: Theory and Application. Sensors. 22(20). 7981–7981. 6 indexed citations

Mu, He‐Qing, et al.. (2021). A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information. Engineering Structures. 252. 113571–113571. 9 indexed citations

Mu, He‐Qing, et al.. (2020). Copula-Based Uncertainty Quantification (Copula-UQ) for Multi-Sensor Data in Structural Health Monitoring. Sensors. 20(19). 5692–5692. 7 indexed citations

10.

Mu, He‐Qing, et al.. (2019). A parametric study of bridge load effect under stochastic vehicular load. 3(1). 77–77. 2 indexed citations

11.

Mu, He‐Qing & Ka‐Veng Yuen. (2019). Bayesian Learning–Based Data Analysis of Uniaxial Compressive Strength of Rock: Relevance Feature Selection and Prediction Reliability Assessment. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 6(1). 12 indexed citations

12.

Su, Cheng, et al.. (2019). A parametric study of bridge load effect under stochastic vehicular load. 3(1). 77–77. 2 indexed citations

13.

Mu, He‐Qing & Ka‐Veng Yuen. (2018). Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction. Measurement. 130. 384–397. 43 indexed citations

14.

Mu, He‐Qing, et al.. (2018). Uncertainty Quantification of Load Effects under Stochastic Traffic Flows. International Journal of Structural Stability and Dynamics. 19(1). 1940009–1940009. 15 indexed citations

15.

Mu, He‐Qing, Zhenjie Zheng, Xiaohuan Wu, & Cheng Su. (2018). Bayesian network-based modal frequency–multiple environmental factors pattern recognition for the Xinguang Bridge using long-term monitoring data. Journal of low frequency noise, vibration and active control. 39(3). 545–559. 17 indexed citations

16.

Mu, He‐Qing, Sin‐Chi Kuok, & Ka‐Veng Yuen. (2016). Stable Robust Extended Kalman Filter. Journal of Aerospace Engineering. 30(2). 41 indexed citations

17.

Mu, He‐Qing & Ka‐Veng Yuen. (2014). Novel Outlier-Resistant Extended Kalman Filter for Robust Online Structural Identification. Journal of Engineering Mechanics. 141(1). 84 indexed citations

18.

Mu, He‐Qing, Rongrong Xu, & Ka‐Veng Yuen. (2014). Seismic attenuation relationship with homogeneous and heterogeneous prediction-error variance models. Earthquake Engineering and Engineering Vibration. 13(1). 1–11. 21 indexed citations

19.

Yuen, Ka‐Veng & He‐Qing Mu. (2012). A novel probabilistic method for robust parametric identification and outlier detection. Probabilistic Engineering Mechanics. 30. 48–59. 76 indexed citations

20.

Mu, He‐Qing, Ka‐Veng Yuen, Jane W. Z. Lu, et al.. (2010). Bayesian Analysis of Peak Ground Acceleration Attenuation Relationship. AIP conference proceedings. 626–631. 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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