Hua Yang

1.2k total citations
77 papers, 505 citations indexed

About

Hua Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hua Yang has authored 77 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Hua Yang's work include Video Surveillance and Tracking Methods (41 papers), Anomaly Detection Techniques and Applications (19 papers) and Human Pose and Action Recognition (18 papers). Hua Yang is often cited by papers focused on Video Surveillance and Tracking Methods (41 papers), Anomaly Detection Techniques and Applications (19 papers) and Human Pose and Action Recognition (18 papers). Hua Yang collaborates with scholars based in China, United States and Canada. Hua Yang's co-authors include Shibao Zheng, Kenneth Rose, Yawen Fan, Hang Su, Qin Zhou, Zhiyong Gao, Shuang Wu, Zehao Chen, Sha Xin Wei and Ji Zhu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Hua Yang

68 papers receiving 490 citations

Peers

Hua Yang
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 438
  • Artificial Intelligence 167
  • Signal Processing 126
  • Biomedical Engineering 74
  • Computer Networks and Communications 54
Replace Yie‐Tarng Chen with:
Yie‐Tarng Chen Taiwan
Zhiyuan Shi China
Khalid Tahboub United States
Liyi Xiao China
Haichao Shi China
Jianyang Ding China
Yupeng Hu China
Masashi Koga Japan
Yie‐Tarng Chen Taiwan View profile →
Citations per field, relative to Hua Yang
Hua Yang · 1×
Citations per year, relative to Hua Yang
Hua Yang · 1×

Countries citing papers authored by Hua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Yang. A scholar is included among the top collaborators of Hua Yang 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 Hua Yang. Hua Yang 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 0
7 1
8 1
9 15
10 5
11 2
12 28
13 2
14 21
15
Abnormal crowd behavior detection based on local pressure model
12
16
Periodic motion detection with ROI-based similarity measure and extrema-based reference-frame selection
5
17
Intelligent Video Surveillance Algorithms Design Based on DaVinci Platform
1
18
Survey of Crowd Flow and Density Estimation in Video Surveillance
2
19 2
20
Weak Sinusoidal Signal Frequency Detection Via The Array Of Duffing Oscillators
2

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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