Jingyi Cao

422 total citations
14 papers, 304 citations indexed

About

Jingyi Cao is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Signal Processing. According to data from OpenAlex, Jingyi Cao has authored 14 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Mechanical Engineering and 2 papers in Signal Processing. Recurrent topics in Jingyi Cao's work include Face recognition and analysis (8 papers), Digital Media Forensic Detection (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Jingyi Cao is often cited by papers focused on Face recognition and analysis (8 papers), Digital Media Forensic Detection (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Jingyi Cao collaborates with scholars based in China, Australia and United States. Jingyi Cao's co-authors include Liang Kong, M. Wang, Liang Guo, Bo Liu, Rong Xie, Li Song, Peng Chai, Yanbin Yin, Zhu Li and Yunhui Zhu and has published in prestigious journals such as Journal of Materials Processing Technology, Journal of Advanced Nursing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Jingyi Cao

11 papers receiving 296 citations

Peers

Jingyi Cao
Comparison fields: 5 of 25
  • Mechanical Engineering 203
  • Aerospace Engineering 108
  • Computer Vision and Pattern Recognition 85
  • Signal Processing 39
  • Artificial Intelligence 21
Replace Kai Niu with:
Kai Niu China
Guang Zhou China
James Borders United States
Rajnikant V. Umretiya United States
T. Y. Xing China
Placido Mursia France
Justin Lin United States
Ke Bai China
Meiqi Gong China
Shahryar Zare Iran
Kai Niu China View profile →
Citations per field, relative to Jingyi Cao
Jingyi Cao · 1×
Citations per year, relative to Jingyi Cao
Jingyi Cao · 1×

Countries citing papers authored by Jingyi Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jingyi Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyi Cao

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 13
7 18
8 7
9 1
10 52
11 6
12 61
13 48
14 96

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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2026