Dechang Chen

4.7k citations
135 papers · 3.2k · 1 hit paper · h-index 29

Impact in

Papers in

Dechang Chen

127 papers receiving 3.1k citations

Dechang Chen's Hit Papers

The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey 2019 · 289 citations
2890+2+4Years since publication50100150200250

Peers

Dechang Chen
Comparison fields: 5 of 179
  • Applied Microbiology and Biotechnology 123
  • Computer Networks and Communications 911
  • Molecular Medicine 183
  • Critical Care and Intensive Care Medicine 173
  • Statistics and Probability 166
Replace Frank Klawonn with:
Frank Klawonn Germany
David Sontag United States
Philippe Weber France
David S. Bayard United States
John Paisley United States
Guoping Lü China
Peter Lucas Netherlands
Li-wei H. Lehman United States
Inmaculada Mora-Jiménez Spain
John McCall United Kingdom
Dechang Chen relative to Frank Klawonn Germany Frank Klawonn's profile →
Citations per field
00.5×11.2×
Frank Klawonn · 1×
Citations per year

Countries citing papers authored by Dechang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dechang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005290
2
The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey
Hit paper breakdown →
2019289
3 2004252
4 2002184
5 2007143
6 2014115
7 2013101
8 200498
9 200683
10 201177
11 199874
12 201370
13 199863
14 200760
15 200959
16 200556
17 201955
18 201055
19 200954
20 200547

About Dechang Chen

Dechang Chen is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Epidemiology and Electrical and Electronic Engineering, having authored 135 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (25 papers), Sepsis Diagnosis and Treatment (13 papers), Energy Efficient Wireless Sensor Networks (11 papers), Bioinformatics and Genomic Networks (11 papers), Indoor and Outdoor Localization Technologies (10 papers), Advanced Statistical Methods and Models (8 papers), AI in cancer detection (8 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (123 citations), Computer Networks and Communications (911 citations), Molecular Medicine (183 citations), Critical Care and Intensive Care Medicine (173 citations) and Statistics and Probability (166 citations). Dechang Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xiuzhen Cheng, Xiaochun Cheng, Chang‐Tien Lu, Kai Xing, Min Ding, Donald E. Henson, Guoliang Xue, Yufeng Kou, Bin Du and Arnold M. Schwartz. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, PLoS ONE, Technometrics, BioMed Research International and Critical Care.

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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