Yuxing Mao

3.3k total citations · 1 hit paper
11 papers, 2.0k citations indexed

About

Yuxing Mao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Yuxing Mao has authored 11 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 2 papers in Media Technology. Recurrent topics in Yuxing Mao's work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Robotics and Sensor-Based Localization (3 papers). Yuxing Mao is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Robotics and Sensor-Based Localization (3 papers). Yuxing Mao collaborates with scholars based in China, Canada and United States. Yuxing Mao's co-authors include Yan Yan, Bo Li, Hao Su, Mingzhe Li, Jun Zhang, Zhiliang Li, Ching Y. Suen, Chunhua Feng, Caixin Sun and Jianwei Li and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Digital Content Technology and its Applications.

In The Last Decade

Yuxing Mao

11 papers receiving 1.9k 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.

SECOND: Sparsely Embedded Convolutional Detection

2018 1.9k citations Yan Yan, Yuxing Mao et al. Sensors profile →

Peers

Yuxing Mao

CVPR

AE

EE

AE

GEOLO

Jason S. Ku United States

Zetong Yang Hong Kong

Ali Harakeh Canada

Jiajun Deng China

Melissa Mozifian Canada

Yuexin Ma China

Tianwei Yin United States

Xuyang Bai China

Xieyuanli Chen China

Jason S. Ku United States

Yuxing Mao

1.3k ×0.8

CVPR

747 ×0.8

AE

264 ×0.6

EE

291 ×0.8

AE

188 ×0.6

GEOLO

Citations per year, relative to Yuxing Mao Yuxing Mao (= 1×) peers Jason S. Ku

Countries citing papers authored by Yuxing Mao

Since Specialization

Citations

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

Fields of papers citing papers by Yuxing Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxing Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxing Mao. A scholar is included among the top collaborators of Yuxing Mao 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 Yuxing Mao. Yuxing Mao 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:

11 of 11 papers shown

1.

Yang, Haitao, Yuxing Mao, Jinyu Wang, & Changgong Zhang. (2020). Information Theory Basis of Multi-band Satellite Remote Sensing Image. 3(1). 20–25. 1 indexed citations

2.

Li, Zhiliang, et al.. (2020). Ship Target Discrimination in SAR Images Based on BOW Model With Multiple Features and Spatial Pyramid Matching. IEEE Access. 8. 166071–166082. 9 indexed citations

3.

Mao, Yuxing, et al.. (2020). Ship Detection for SAR Imagery Based on Deep Learning: A Benchmark. 1934–1940. 9 indexed citations

4.

Mao, Yuxing, et al.. (2020). An Anchor-free SAR Ship Detector with Only 1.17M Parameters. 182–186. 5 indexed citations

5.

Mao, Yuxing, Shenghong Hu, & Zhengyu He. (2020). Image Stitching Using Green Coordinates and Robust Elastic Warping. 20. 953–957. 1 indexed citations

6.

Mao, Yuxing, et al.. (2020). Network Slimming Method for SAR Ship Detection Based on Knowlegde Distillation. 5 indexed citations

7.

Mao, Yuxing, et al.. (2020). Efficient Low-Cost Ship Detection for SAR Imagery Based on Simplified U-Net. IEEE Access. 8. 69742–69753. 56 indexed citations

8.

Yan, Yan, Yuxing Mao, & Bo Li. (2018). SECOND: Sparsely Embedded Convolutional Detection. Sensors. 18(10). 3337–3337. 1862 indexed citations breakdown →

9.

Chen, Xuejun, Yongming Yang, Wei He, Jingang Wang, & Yuxing Mao. (2011). Hilbert-Huang Transform for Nystagmus Analysis in Video-oculography. International Journal of Digital Content Technology and its Applications. 5(8). 423–430. 2 indexed citations

10.

Suen, Ching Y., et al.. (2007). A survey of techniques for face reconstruction. 3554–3560. 4 indexed citations

11.

Mao, Yuxing, Ching Y. Suen, Caixin Sun, & Chunhua Feng. (2007). Pose Estimation Based on Two Images from Different Views. 4. 9–9. 6 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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