Qi Cai

957 total citations
16 papers, 380 citations indexed

About

Qi Cai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Qi Cai has authored 16 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Qi Cai's work include Advanced Vision and Imaging (5 papers), Video Coding and Compression Technologies (5 papers) and Image and Video Quality Assessment (3 papers). Qi Cai is often cited by papers focused on Advanced Vision and Imaging (5 papers), Video Coding and Compression Technologies (5 papers) and Image and Video Quality Assessment (3 papers). Qi Cai collaborates with scholars based in China, United States and Hong Kong. Qi Cai's co-authors include Yingwei Pan, Ting Yao, Ling‐Yu Duan, Xinmei Tian, Chong‐Wah Ngo, Zhifeng Chen, Dapeng Wu, Li Song, Nam Ling and Guichun Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

In The Last Decade

Qi Cai

15 papers receiving 373 citations

Peers

Qi Cai
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 314
  • Artificial Intelligence 191
  • Signal Processing 56
  • Radiology, Nuclear Medicine and Imaging 39
  • Aerospace Engineering 31
Replace Jinheng Xie with:
Jinheng Xie China
Baigui Sun China
Yuanyi Zhong United States
Benteng Ma China
Pascal Mettes Netherlands
Ben Harwood Australia
Shipeng Yan China
Hyun-Soo Kim South Korea
Akshay Raj Dhamija United States
Sivan Harary Israel
Jinheng Xie China View profile →
Citations per field, relative to Qi Cai
Qi Cai · 1×
Citations per year, relative to Qi Cai
Qi Cai · 1×

Countries citing papers authored by Qi Cai

Since Specialization
Citations

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

Fields of papers citing papers by Qi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Cai

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 7
2 2
3 20
4 17
5 30
6 236
7 12
8 11
9 1
10 2
11 1
12
Prediction for water level of steam generator based on multi-signal fusion by support vector regression
2
13 30
14
Application of SIMULINK Simulation Technology in PWR Purification System Reliability Analysis with GO Methodology
0
15 7
16
TEMPORAL DATA AND ITS APPLICATION IN ATEMPORAL DBMS
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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