Xiangyang Ji

442 total citations
18 papers, 194 citations indexed

About

Xiangyang Ji is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Xiangyang Ji has authored 18 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in Xiangyang Ji's work include Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (4 papers) and Video Surveillance and Tracking Methods (3 papers). Xiangyang Ji is often cited by papers focused on Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (4 papers) and Video Surveillance and Tracking Methods (3 papers). Xiangyang Ji collaborates with scholars based in China, United States and Germany. Xiangyang Ji's co-authors include Cai‐Rong Zhang, Xinghao Chen, Tae‐Kyun Kim, Guijin Wang, Qionghai Dai, Haoqian Wang, Feng Lu, Guihua Er, Xiaogang Chen and Yipeng Li and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Xiangyang Ji

14 papers receiving 191 citations

Peers

Xiangyang Ji
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 161
  • Human-Computer Interaction 59
  • Control and Systems Engineering 40
  • Computational Mechanics 23
  • Media Technology 21
Replace Iván Huerta with:
Iván Huerta Spain
Adam W. Harley United States
Jordi Sànchez-Riera Taiwan
Hong Mo China
A. Jain United States
Mariko Isogawa Japan
Spyridon Leonardos United States
Erwan Guillou France
Yipeng Qin United Kingdom
Fu Xiong Singapore
Iván Huerta Spain View profile →
Citations per field, relative to Xiangyang Ji
Xiangyang Ji · 1×
Citations per year, relative to Xiangyang Ji
Xiangyang Ji · 1×

Countries citing papers authored by Xiangyang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyang Ji

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 0
5 0
6 6
7 4
8 5
9 3
10 4
11 16
12 70
13 4
14 22
15 23
16 8
17 21
18 4

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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