Guowang Mu

1.6k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Guowang Mu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Archeology. According to data from OpenAlex, Guowang Mu has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Archeology. Recurrent topics in Guowang Mu's work include Face recognition and analysis (12 papers), Face and Expression Recognition (7 papers) and Human Pose and Action Recognition (4 papers). Guowang Mu is often cited by papers focused on Face recognition and analysis (12 papers), Face and Expression Recognition (7 papers) and Human Pose and Action Recognition (4 papers). Guowang Mu collaborates with scholars based in United States and China. Guowang Mu's co-authors include Guodong Guo, Yun Fu, Thomas S. Huang, Chris Dyer, Yu Zhu, Yan Li, Karl Ricanek, Yun Fu, Min Jiang and Shiguang Shan and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Image and Vision Computing and Computer Vision and Image Understanding.

In The Last Decade

Guowang Mu

14 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

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.

Human age estimation using bio-inspired features

2009 413 citations Guodong Guo, Guowang Mu et al. 2009 IEEE Conference on Computer Vision and Pattern Recognition profile →

Peers

Guowang Mu

CVPR

SP

AI

DERMA

ECP

Thomas S. Huang United States

Charles Otto United States

Cunjian Chen United States

Insaf Adjabi Algeria

Samarth Bharadwaj India

Himanshu S. Bhatt India

Zhanpeng Zhang China

Shuyang Wang China

Lacey Best-Rowden United States

Thomas S. Huang United States

Guowang Mu

663 ×0.6

CVPR

193 ×0.6

SP

85 ×0.8

AI

19 ×0.3

DERMA

22 ×0.4

ECP

Citations per year, relative to Guowang Mu Guowang Mu (= 1×) peers Thomas S. Huang

Countries citing papers authored by Guowang Mu

Since Specialization

Citations

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

Fields of papers citing papers by Guowang Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guowang Mu

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Jiang, Min, Guodong Guo, & Guowang Mu. (2020). Visual BMI estimation from face images using a label distribution based method. Computer Vision and Image Understanding. 197-198. 102985–102985. 10 indexed citations

2.

Mu, Guowang, et al.. (2020). Inverse Construction Methods of Heterogeneous NURBSObject Based on Additive Manufacturing. Computer Modeling in Engineering & Sciences. 125(2). 597–610.

3.

Zhu, Yu, Yan Li, Guowang Mu, Shiguang Shan, & Guodong Guo. (2016). Still-to-Video Face Matching Using Multiple Geodesic Flows. IEEE Transactions on Information Forensics and Security. 11(12). 2866–2875. 5 indexed citations

4.

Zhu, Yu, Yan Li, Guowang Mu, & Guodong Guo. (2015). A Study on Apparent Age Estimation. 267–273. 55 indexed citations

5.

Zhu, Yu, et al.. (2015). Still to video face recognition using a heterogeneous matching approach. 1–6. 6 indexed citations

6.

Guo, Guodong & Guowang Mu. (2014). A framework for joint estimation of age, gender and ethnicity on a large database. Image and Vision Computing. 32(10). 761–770. 67 indexed citations

7.

Guo, Guodong & Guowang Mu. (2013). Joint estimation of age, gender and ethnicity: CCA vs. PLS. 1–6. 98 indexed citations

8.

Zhao, Gang, et al.. (2011). NURBS Curve Adaptive Fairing Algorithm Based on a Digital Index of Fairness. Chinese Journal of Computers. 34(8). 1548–1555. 1 indexed citations

9.

Guo, Guodong & Guowang Mu. (2011). Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression. 657–664. 172 indexed citations

10.

Guo, Guodong, Guowang Mu, & Karl Ricanek. (2010). Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits. 25. 3392–3395. 31 indexed citations

11.

Guo, Guodong & Guowang Mu. (2010). A study of large-scale ethnicity estimation with gender and age variations. 79–86. 35 indexed citations

12.

Guo, Guodong & Guowang Mu. (2010). Human age estimation: What is the influence across race and gender?. 71–78. 86 indexed citations

13.

Guo, Guodong, et al.. (2009). Human age estimation using bio-inspired features. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 34 indexed citations

14.

Guo, Guodong, Guowang Mu, Yun Fu, & Thomas S. Huang. (2009). Human age estimation using bio-inspired features. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 112–119. 413 indexed citations breakdown →

15.

Guo, Guodong, Guowang Mu, Yun Fu, Chris Dyer, & Thomas S. Huang. (2009). A study on automatic age estimation using a large database. 1986–1991. 99 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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