Yang Gu

616 citations
30 papers · 445 · h-index 10

Impact in

Papers in

Yang Gu

27 papers receiving 441 citations

Peers

Yang Gu
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 174
  • Electronic, Optical and Magnetic Materials 77
  • Experimental and Cognitive Psychology 44
  • Signal Processing 35
  • Renewable Energy, Sustainability and the Environment 52
Replace Yuanzhi Wang with:
Yuanzhi Wang China
Anran Wang China
Dong Ma Singapore
Zhoufeng Liu China
Sung Joo Lee South Korea
Simeng Li China
Yu Han China
Yucheng Lu China
Qihua Liang China
Yang Gu relative to Yuanzhi Wang China Yuanzhi Wang's profile →
Citations per field
00.5×10×15×18×
Yuanzhi Wang · 1×
Citations per year

Countries citing papers authored by Yang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Gu Line = papers co-authored together Yang Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 202085
3 201440
4 202239
5 202033
6 202021
7
Spatio-temporal Consistency and Hierarchical Matching for Multi-Target Multi-Camera Vehicle Tracking
201920
8 201617
9 202014
10 201610
11 20259
12 20199
13 20229
14 20208
15 20187
16 20236
17 20135
18 20214
19
Research on Dynamic Allocations of Airport Security Check Resources
20164
20 20252

About Yang Gu

Yang Gu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence and Biomedical Engineering, having authored 30 papers that have together received 445 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), ZnO doping and properties (5 papers), Human Pose and Action Recognition (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers) and Ga2O3 and related materials (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Electronic, Optical and Magnetic Materials (77 citations), Experimental and Cognitive Psychology (44 citations), Signal Processing (35 citations) and Renewable Energy, Sustainability and the Environment (52 citations). Yang Gu has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Bingfeng Si, Qian Song, Hong-Liang Lü, Jiajia Tao, Hong-Ping Ma, Yiqiang Chen, Wen-Jun Liu, Hao Zhang, Jijun Feng and Xing Li. Their work appears in journals such as Ceramics International, Journal of the American Chemical Society, Applied Surface Science, Journal of Semiconductors and Neurocomputing.

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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