Dechang Chen

4.7k total citations · 1 hit paper
135 papers, 3.2k citations indexed

About

Dechang Chen is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Dechang Chen has authored 135 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 33 papers in Artificial Intelligence and 25 papers in Computer Networks and Communications. Recurrent topics in Dechang Chen's work include Gene expression and cancer classification (25 papers), Sepsis Diagnosis and Treatment (13 papers) and Bioinformatics and Genomic Networks (11 papers). Dechang Chen is often cited by papers focused on Gene expression and cancer classification (25 papers), Sepsis Diagnosis and Treatment (13 papers) and Bioinformatics and Genomic Networks (11 papers). Dechang Chen collaborates with scholars based in United States, China and Saudi Arabia. Dechang Chen's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dechang Chen

127 papers receiving 3.1k citations

Hit Papers

The Epidemiology of Sepsis in Chinese ICUs: A National Cr... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dechang Chen United States 29 911 573 525 511 374 135 3.2k
Guoping Lü China 37 1.5k 1.7× 277 0.5× 275 0.5× 400 0.8× 669 1.8× 312 5.1k
Frank Klawonn Germany 36 145 0.2× 2.0k 3.5× 182 0.3× 412 0.8× 807 2.2× 273 5.4k
Jarmo Takala Finland 30 532 0.6× 398 0.7× 1.2k 2.3× 489 1.0× 79 0.2× 267 3.8k
Leszek Rutkowski Poland 37 1.2k 1.3× 1.7k 3.0× 512 1.0× 148 0.3× 358 1.0× 321 5.0k
Qi Zhao China 43 368 0.4× 307 0.5× 247 0.5× 231 0.5× 4.0k 10.6× 236 6.8k
Qing Guo China 29 1.2k 1.3× 359 0.6× 1.5k 2.8× 79 0.2× 375 1.0× 305 3.9k
Bin Zhou China 31 249 0.3× 1.0k 1.8× 176 0.3× 230 0.5× 1.3k 3.4× 147 4.0k
Guo‐Ping Jiang China 43 2.0k 2.2× 475 0.8× 599 1.1× 299 0.6× 986 2.6× 392 6.8k
John McCall United Kingdom 36 108 0.1× 763 1.3× 169 0.3× 520 1.0× 315 0.8× 212 4.9k
Pankaj Malhotra India 22 263 0.3× 518 0.9× 76 0.1× 156 0.3× 389 1.0× 332 3.1k

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-authorship network of co-authors of Dechang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dechang Chen. A scholar is included among the top collaborators of Dechang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dechang Chen. Dechang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Huan, Zhenqiu Liu, Julie L. Yang, Sheng Li, & Dechang Chen. (2023). Using Machine Learning to Expand the Ann Arbor Staging System for Hodgkin and Non-Hodgkin Lymphoma. SHILAP Revista de lepidopterología. 3(3). 514–525. 2 indexed citations
2.
Wang, Huan, Zhenqiu Liu, Matthew T. Hueman, et al.. (2021). Integrating additional factors into the TNM staging for cutaneous melanoma by machine learning. PLoS ONE. 16(9). e0257949–e0257949. 7 indexed citations
3.
Henson, Donald E., et al.. (2017). The anatomy of the TNM for colon cancer. Journal of Gastrointestinal Oncology. 8(1). 12–19. 5 indexed citations
4.
Chen, Dechang, Huan Wang, Sheng Li, et al.. (2016). An Algorithm for Creating Prognostic Systems for Cancer. Journal of Medical Systems. 40(7). 160–160. 13 indexed citations
5.
Wang, Tao, et al.. (2016). Comparative Study of Plasma Endotoxin with Procalcitonin Levels in Diagnosis of Bacteremia in Intensive Care Unit Patients. Chinese Medical Journal. 129(4). 417–423. 6 indexed citations
7.
Deng, Lijing, Xiaodong Wu, Yan Kang, et al.. (2013). Epidemiology of methicillin-resistant Staphylococcus aureus infection and empirical antibiotic therapy for MRSA infection: multicenter investigation. Chinese Medical Journal. 126(19). 3745–3749. 1 indexed citations
8.
Guan, Jun, et al.. (2013). Impact of imipenem treatment on colonic mycobiota in rats with double-hit sepsis. Chinese Medical Journal. 126(10). 1850–1854. 1 indexed citations
9.
Ding, Min, Qilian Liang, Xiuzhen Cheng, et al.. (2011). A Model-Based Approach for Outlier Detection in Sensor Networks.. Ad Hoc & Sensor Wireless Networks. 12. 275–293. 1 indexed citations
10.
Chen, Dechang, et al.. (2011). Protective effect of rhubarb on the intestinal mucosal barrier. World Journal of Gastroenterology. 3(2). 81–81. 4 indexed citations
11.
Sonna, Larry A., et al.. (2010). A microarray analysis of the effects of moderate hypothermia and rewarming on gene expression by human hepatocytes (HepG2). Cell Stress and Chaperones. 15(5). 687–702. 16 indexed citations
12.
Du, Bin, Xiuming Xi, Dechang Chen, & Jinmin Peng. (2010). Clinical review: Critical care medicine in mainland China. Critical Care. 14(1). 206–206. 55 indexed citations
13.
Chen, Dechang, et al.. (2007). Structural Risk Minimisation based gene expression profiling analysis. International Journal of Bioinformatics Research and Applications. 3(2). 153–153. 1 indexed citations
14.
Chen, Dechang, et al.. (2006). General Tricomi–Rassias problem and oblique derivative problem for generalized Chaplygin equations. Journal of Mathematical Analysis and Applications. 333(2). 679–694. 8 indexed citations
15.
Chen, Dechang, et al.. (2005). Selecting Genes by Test Statistics. BioMed Research International. 2005(2). 132–138. 47 indexed citations
16.
Diao, Jiajie, et al.. (2005). Nanoparticle Delivery by Controlled Bacteria. Journal of Nanoscience and Nanotechnology. 5(10). 1749–1751. 4 indexed citations
17.
Liu, Zhenqiu & Dechang Chen. (2004). Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm.. The Florida AI Research Society. 104–108. 4 indexed citations
18.
Du, Bin, Dechang Chen, Dawei Liu, et al.. (2003). Restriction of third-generation cephalosporin use decreases infection-related mortality. Critical Care Medicine. 31(4). 1088–1093. 29 indexed citations
19.
Chen, Dechang, et al.. (2002). The effects of rhubarb on the function of mitochondria of hepatic cell in posttrauma sepsis. Chinese journal of integrated traditional and Western medicine. 9(1). 9–11. 3 indexed citations
20.
Chen, Dechang. (1999). Effect of rhubarb on endogenous nitric oxide in the development of lung injury after intestinal ischemia-reperfusion in rats. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026