De Chen

891 citations
42 papers · 678 · h-index 15

Impact in

Papers in

De Chen

41 papers receiving 667 citations

Peers

De Chen
Comparison fields: 5 of 51
  • Civil and Structural Engineering 354
  • Automotive Engineering 87
  • Speech and Hearing 24
  • Ecological Modeling 12
  • Computational Mathematics 3
Replace Zongwei Yao with:
Zongwei Yao China
Yishun Li China
Khurram Kamal Pakistan
Wenjun Meng China
Moustafa El–Gindy Canada
Gilbert-Rainer Gillich Romania
Karl Janssens Belgium
Kai Xue China
Mohsen Mousavi Australia
Brian F. Tatting United States
De Chen relative to Zongwei Yao China Zongwei Yao's profile →
Citations per field
00.5×5×10×15×20×24×
Zongwei Yao · 1×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020116
2 201871
3 201563
4 202360
5 201836
6 201833
7 201731
8 201928
9 201822
10 201418
11 202018
12 201917
13 202416
14 202015
15 202115
16 201912
17 202510
18 20209
19 20239
20 20249

About De Chen

De Chen is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Media Technology and Automotive Engineering, having authored 42 papers that have together received 678 indexed citations. Recurring topics across this work include Asphalt Pavement Performance Evaluation (13 papers), Face and Expression Recognition (6 papers), Geotechnical and construction materials studies (4 papers), Railway Engineering and Dynamics (4 papers), Neural Networks and Applications (2 papers), Civil and Structural Engineering Research (2 papers), Machine Learning and ELM (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Civil and Structural Engineering (354 citations), Automotive Engineering (87 citations), Speech and Hearing (24 citations), Ecological Modeling (12 citations) and Computational Mathematics (3 citations). De Chen has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Xinjun Peng, Qian Su, Cheng Ling, Longsheng Chen, Long Fei Chen, Yunxiao Shan, Tingting Wang, Nima Roohi Sefidmazgi, Hussain U. Bahia and Sen Han. Their work appears in journals such as Construction and Building Materials, International Journal of Pavement Engineering, 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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