Can Chen

766 citations
48 papers · 548 · h-index 13

Impact in

Papers in

Can Chen

46 papers receiving 520 citations

Peers

Can Chen
Comparison fields: 5 of 95
  • Building and Construction 103
  • Media Technology 66
  • Computer Vision and Pattern Recognition 133
  • Civil and Structural Engineering 107
  • Structural Biology 7
Replace Kevin Kochersberger with:
Kevin Kochersberger United States
Liwei Deng China
Zhihao Chen China
Yuankun Liu China
Xiao Pan Canada
Xingdong Li China
Steven G. Satterfield United States
Bohao Huang United States
Wenlong Lu China
Martin R. Oswald Switzerland
Can Chen relative to Kevin Kochersberger United States Kevin Kochersberger's profile →
Citations per field
00.5×2.9×
Kevin Kochersberger · 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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201592
2 201861
3 201651
4 201639
5 201830
6 201623
7 201422
8 202116
9 202016
10 201515
11 201012
12 201512
13 201512
14 202311
15 201911
16 20249
17 20129
18 20129
19 20219
20 20129

About Can Chen

Can Chen is a scholar working on Civil and Structural Engineering, Computational Mechanics, Building and Construction, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 48 papers that have together received 548 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Advanced X-ray Imaging Techniques (5 papers), Asphalt Pavement Performance Evaluation (4 papers), Building Energy and Comfort Optimization (4 papers), Infrastructure Maintenance and Monitoring (4 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Building and Construction (103 citations), Media Technology (66 citations), Computer Vision and Pattern Recognition (133 citations), Civil and Structural Engineering (107 citations) and Structural Biology (7 citations). Can Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wenjian Cai, Sing Bing Kang, Jingyi Yu, Haiting Lin, Haoran Chen, Dengyin Zhang, Chao Zhou, Youyi Wang, Hongyuan Fang and Bin Li. Their work appears in journals such as Sustainability, Energy and Buildings, IEEE Access, Building and Environment and Journal of Building Engineering.

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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