Deyu Chen

58 papers receiving 1.2k citations

Peers

Deyu Chen
Comparison fields: 5 of 118
  • Hardware and Architecture 138
  • Computer Vision and Pattern Recognition 304
  • Pathology and Forensic Medicine 181
  • Computer Networks and Communications 263
  • Human-Computer Interaction 65
Replace Junjie Shen with:
Junjie Shen China
Wim Verhaegh Netherlands
Hui Shi China
Hongyu Zhu China
Barbara Catania Italy
Mohamed Fawzy Egypt
Xinyi Zhang China
Jennifer Carlson United States
Daichao Wu China
Stefano Forti Italy
Deyu Chen relative to Junjie Shen China Junjie Shen's profile →
Citations per field
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Junjie Shen · 1×
Citations per year

Countries citing papers authored by Deyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013136
2 1995115
3 2014112
4 201494
5 199981
6 199664
7 201943
8 202143
9 201443
10 201142
11 201239
12 202138
13 201433
14 202030
15 202228
16 201325
17 201424
18 201423
19 201821
20 201720

About Deyu Chen

Deyu Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology, Information Systems and Oncology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (10 papers), Cloud Computing and Remote Desktop Technologies (6 papers), Cloud Computing and Resource Management (6 papers), Computer Graphics and Visualization Techniques (4 papers), Peer-to-Peer Network Technologies (4 papers), Cancer Cells and Metastasis (3 papers), Caching and Content Delivery (3 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Hardware and Architecture (138 citations), Computer Vision and Pattern Recognition (304 citations), Pathology and Forensic Medicine (181 citations), Computer Networks and Communications (263 citations) and Human-Computer Interaction (65 citations). Deyu Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Cheng-Hsin Hsu, Chun‐Ying Huang, Kuan-Ta Chen, Hwai-Jung Hsu, Frederick J. Kummer, Jeffrey M. Spivak, Hua-Jun Hong, Yuchun Chang, Hansen A. Yuan and Philip S. Yuan. Their work appears in journals such as Spine, Frontiers in Oncology, ACM Transactions on Multimedia Computing Communications and Applications, Clinical Spine Surgery A Spine Publication and Oncology Reports.

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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