Congcong Li

603 citations
21 papers · 341 indexed · h-index 10
Topics
Advanced Image and Video Retrieval Techniques (7 papers)Advanced Vision and Imaging (6 papers)Robotics and Sensor-Based Localization (5 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Congcong Li

20 papers receiving 329 citations

Peers

Congcong Li
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 283
  • Artificial Intelligence 69
  • Aerospace Engineering 52
  • Media Technology 34
  • Electrical and Electronic Engineering 30
Replace Ninad Thakoor with:
Ninad Thakoor United States
Eric Sommerlade United Kingdom
Stephan Gammeter Switzerland
Chen-Kuo Chiang Taiwan
Raymond D. Rimey United States
Sven Fleck Germany
Francesco Cricri Finland
Tongtong Yuan China
Bohao Li China
Yufei Wang China
Congcong Li relative to Ninad Thakoor United States Ninad Thakoor's profile →
Citations per field
00.5×1.5×2.3×
Ninad Thakoor · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 5
3 11
4 1
5 3
6 1
7 12
8 3
9 21
10 25
11 9
12 9
13 62
14 1
15 3
16 39
17 43
18 6
19 54
20 26

About Congcong Li

Congcong Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Small Animals, having authored 21 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Media Technology (34 citations) and Artificial Intelligence (69 citations). Congcong Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tsuhan Chen, Alexander C. Loui, Andrew Gallagher, Devi Parikh, Ashutosh Saxena, Adarsh Kowdle, Jing Li, Zhaoyang Lu, Tao Yang and Shiaw-Shian Yu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

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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