Lei Cai

1.8k total citations
99 papers, 1.2k citations indexed

About

Lei Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Lei Cai has authored 99 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 15 papers in Media Technology. Recurrent topics in Lei Cai's work include Advanced Neural Network Applications (16 papers), Image Enhancement Techniques (16 papers) and Video Surveillance and Tracking Methods (11 papers). Lei Cai is often cited by papers focused on Advanced Neural Network Applications (16 papers), Image Enhancement Techniques (16 papers) and Video Surveillance and Tracking Methods (11 papers). Lei Cai collaborates with scholars based in China, United States and Canada. Lei Cai's co-authors include Shuiwang Ji, Jie Wang, Jundong Li, Zhenxue Chen, Zhengyang Wang, Q. M. Jonathan Wu, Wenfeng Li, Lijun He, Hongyang Gao and Dinggang Shen and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Lei Cai

87 papers receiving 1.1k citations

Peers

Lei Cai
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 471
  • Artificial Intelligence 427
  • Media Technology 128
  • Industrial and Manufacturing Engineering 112
  • Statistical and Nonlinear Physics 110
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Citations per field, relative to Lei Cai
Lei Cai · 1×
Citations per year, relative to Lei Cai
Lei Cai · 1×

Countries citing papers authored by Lei Cai

Since Specialization
Citations

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

Fields of papers citing papers by Lei Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Cai. A scholar is included among the top collaborators of Lei 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 Lei Cai. Lei Cai 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
# Work Indexed citations
1 0
2 0
3 2
4 1
5 9
6 4
7 7
8 4
9 3
10 5
11 5
12 2
13 0
14 11
15 96
16 2
17
The improved spatial histogram features and integrated system for vehicle detection
0
18
Multi-object tracking based on thermal-visible video sequence fusion
3
19
Comparison of the Extreme Learning Machine with the Support Vector Machine for Reservoir Permeability Prediction
10
20
Prediction of reservoir permeability based on PCA and Support Vector Regression
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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