De Chen

847 citations
40 papers · 576 · h-index 14

Impact in

Papers in

De Chen

38 papers receiving 566 citations

Peers

De Chen
Comparison fields: 5 of 74
  • Civil and Structural Engineering 300
  • Automotive Engineering 84
  • Speech and Hearing 35
  • Computer Vision and Pattern Recognition 104
  • Control and Systems Engineering 84
Replace Bing Yi with:
Bing Yi China
Shengchuan Jiang China
Shengchun Wang China
Wai Kei Ao United Kingdom
Jian Han China
Gilbert-Rainer Gillich Romania
S. Loutridis Greece
Weili Luo China
Giulio D’Emilia Italy
Djamel Rezgui United Kingdom
De Chen relative to Bing Yi China Bing Yi's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by De Chen

Since Specialization
Citations

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

Fields of papers citing papers by De Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside De 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 De Chen Line = papers co-authored together De Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 201867
3 201562
4 201834
5 201833
6 201731
7 201927
8 201821
9 201418
10 202018
11 201916
12 202215
13 202414
14 202014
15 201912
16 20249
17 20188
18 20208
19 20126
20 20146

About De Chen

De Chen is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 40 papers that have together received 576 indexed citations. Recurring topics across this work include Asphalt Pavement Performance Evaluation (11 papers), Infrastructure Maintenance and Monitoring (8 papers), Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Smart Materials for Construction (3 papers), Innovative concrete reinforcement materials (2 papers) and Advanced Fiber Optic Sensors (2 papers). The work is most often cited by research in Civil and Structural Engineering (300 citations), Automotive Engineering (84 citations), Speech and Hearing (35 citations), Computer Vision and Pattern Recognition (104 citations) and Control and Systems Engineering (84 citations). De Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xinjun Peng, Qian Su, Cheng Ling, Long Chen, Yunxiao Shan, Longsheng Chen, Nima Roohi Sefidmazgi, Hussain U. Bahia, Tingting Wang and Sen Han. Their work appears in journals such as International Journal of Pavement Engineering, Construction and Building Materials, Information Sciences, Road Materials and Pavement Design and Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit.

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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