Congcong Li

590 total citations
20 papers, 267 citations indexed

About

Congcong Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Congcong Li has authored 20 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Congcong Li's work include Human Pose and Action Recognition (3 papers), Face recognition and analysis (3 papers) and Advanced Vision and Imaging (3 papers). Congcong Li is often cited by papers focused on Human Pose and Action Recognition (3 papers), Face recognition and analysis (3 papers) and Advanced Vision and Imaging (3 papers). Congcong Li collaborates with scholars based in China, United States and Taiwan. Congcong Li's co-authors include Tsuhan Chen, Alexander C. Loui, Ashutosh Saxena, Man Jia, Sen‐Yue Lou, Adarsh Kowdle, Jun Zhou, Chunhong Jiang, Yafeng Deng and Libo Zhang and has published in prestigious journals such as International Journal of Computer Vision, Neurocomputing and Applied Sciences.

In The Last Decade

Congcong Li

19 papers receiving 255 citations

Peers

Congcong Li
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 181
  • Cognitive Neuroscience 31
  • Artificial Intelligence 28
  • Statistical and Nonlinear Physics 25
  • Signal Processing 25
Replace Yuxin Zhang with:
Yuxin Zhang China
Boyán Bonev Spain
Bei Li China
Fangnian Lang China
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Lars Nyland United States
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Yuxin Zhang China View profile →
Citations per field, relative to Congcong Li
Congcong Li · 1×
Citations per year, relative to Congcong Li
Congcong Li · 1×

Countries citing papers authored by Congcong Li

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congcong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Congcong Li. A scholar is included among the top collaborators of Congcong Li 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 Congcong Li. Congcong Li 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 4
2 4
3 5
4 0
5 12
6 3
7 27
8 2
9 1
10 14
11 12
12 5
13 14
14 24
15 2
16
theta-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
13
17 29
18 3
19 69
20 24

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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