Xingyu Gao

3.6k citations
131 papers · 2.0k indexed · 1 hit paper · h-index 20
Topics
Video Surveillance and Tracking Methods (16 papers)Perovskite Materials and Applications (15 papers)Human Pose and Action Recognition (12 papers)

In The Last Decade

Xingyu Gao

112 papers receiving 1.9k citations

Hit Papers

Task-Adaptive Attention for Image Captioning2021202620222024202150100150200250

Peers

Xingyu Gao
Comparison fields: 5 of 134
  • Computer Vision and Pattern Recognition 972
  • Artificial Intelligence 454
  • Electrical and Electronic Engineering 322
  • Biomedical Engineering 158
  • Economics and Econometrics 141
Replace Kwok Tai Chui with:
Kwok Tai Chui Hong Kong
Long Hu China
Taeg Keun Whangbo South Korea
Qi Wang United Kingdom
Zhu Wang China
Shaohua Teng China
Ikram Ud Din Pakistan
Nan Jiang China
Weishan Zhang China
Sambit Bakshi India
Xingyu Gao relative to Kwok Tai Chui Hong Kong Kwok Tai Chui's profile →
Citations per field
00.5×3.6×
Kwok Tai Chui · 1×
Citations per year

Countries citing papers authored by Xingyu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xingyu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Gao. A scholar is included among the top collaborators of Xingyu Gao 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 Xingyu Gao. Xingyu Gao 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
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 0
6 2
7 0
8 12
9 2
10 2
11 4
12 6
13 17
14 6
15 64
16 23
17 6
18 9
19 186
20 135

About Xingyu Gao

Xingyu Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 131 papers that have together received 2.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Perovskite Materials and Applications (15 papers) and Human Pose and Action Recognition (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (972 citations), Media Technology (134 citations) and Artificial Intelligence (454 citations). Xingyu Gao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhenyu Chen, Liang Li, Yongdong Zhang, Zhaoqiang Xia, Xiaoyi Feng, Guoying Zhao, Chenggang Yan, Xiaopeng Hong, An-An Liu and Qingming Huang. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and ACS Nano.

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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