Can Chen

1.3k citations
58 papers · 802 · 1 hit paper · h-index 16

Impact in

Papers in

    • Face and Expression Recognition 4
    • Advanced Image Processing Techniques 4
    • Advanced Neural Network Applications 3
    • Advanced Image and Video Retrieval Techniques 3
    • Advanced Clustering Algorithms Research 4
    • Domain Adaptation and Few-Shot Learning 3
    • Advanced Computational Techniques and Applications 3

Can Chen

48 papers receiving 777 citations

Can Chen's Hit Papers

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities 2024 · 84 citations
840+1Years since publication255075

Peers

Can Chen
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 211
  • Computer Networks and Communications 153
  • Media Technology 53
  • Artificial Intelligence 180
  • Computational Mathematics 3
Replace Soumi Ghosh with:
Soumi Ghosh India
Ying Han Pang Malaysia
Xiaoxia Liu China
Sultan Almakdi Saudi Arabia
Gunhee Lee South Korea
Yao Liu China
Tong Xu China
Krishna Kumar Mohbey India
Can Chen relative to Soumi Ghosh India Soumi Ghosh's profile →
Citations per field
00.5×3.8×
Soumi Ghosh · 1×
Citations per year

Countries citing papers authored by Can Chen

Since Specialization
Citations

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

Fields of papers citing papers by Can Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Can Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Can Chen Line = papers co-authored together Can Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014103
2 2016103
3
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities
Hit paper breakdown →
202484
4 201353
5 202152
6 201849
7 201737
8 201425
9 201622
10 202121
11 202320
12 201819
13 202316
14 201816
15 201115
16 201615
17 201514
18 202212
19 202211
20 202411

About Can Chen

Can Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Civil and Structural Engineering, having authored 58 papers that have together received 802 indexed citations. Recurring topics across this work include Face and Expression Recognition (4 papers), Advanced Clustering Algorithms Research (4 papers), Advanced Image Processing Techniques (4 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), IoT and Edge/Fog Computing (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Computational Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Computer Networks and Communications (153 citations), Media Technology (53 citations), Artificial Intelligence (180 citations) and Computational Mathematics (3 citations). Can Chen has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yanjie Fu, Jingyi Yu, Hui Xiong, Zhan Yu, Jin Ho Yang, Sing Bing Kang, Haiting Lin, Xinjiang Lu, Shu Kee Lam and Jianjun Pan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Construction and Building Materials, Applied Sciences, Pattern Recognition and IEEE Transactions on Mobile Computing.

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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