Beiling Chen

22 papers receiving 1k citations

Peers

Beiling Chen
Comparison fields: 5 of 69
  • Fluid Flow and Transfer Processes 529
  • Pathology and Forensic Medicine 321
  • Computational Mechanics 60
  • Automotive Engineering 11
  • Biochemistry 7
Replace Zhenkun Hu with:
Zhenkun Hu China
Zhihao Liang China
Jorge A. Negroni Argentina
Weixiong Jian China
Taro Kariya United States
Taehyeung Kim South Korea
Elena Catalina Lascano Argentina
S. Puschmann Germany
Jian Kun Deng China
Yongxiang Lu China
Beiling Chen relative to Zhenkun Hu China Zhenkun Hu's profile →
Citations per field
00.5×100×200×264.5×
Zhenkun Hu · 1×
Citations per year

Countries citing papers authored by Beiling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Beiling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009130
2 2005129
3 2017108
4 2018103
5 201799
6 201897
7 200887
8 201960
9 201954
10 200635
11 201126
12 201522
13 201822
14 201814
15 202314
16 202213
17 20179
18 20196
19 20225
20 20224

About Beiling Chen

Beiling Chen is a scholar working on Fluid Flow and Transfer Processes, Pathology and Forensic Medicine, Global and Planetary Change, Hematology and Oncology, having authored 22 papers that have together received 1k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (11 papers), Ophthalmology and Eye Disorders (5 papers), Land Use and Ecosystem Services (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Proteoglycans and glycosaminoglycans research (1 paper), Cancer Cells and Metastasis (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (529 citations), Pathology and Forensic Medicine (321 citations), Computational Mechanics (60 citations), Automotive Engineering (11 citations) and Biochemistry (7 citations). Beiling Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mingfa Yao, Haifeng Liu, Terry J. Smith, Shanli Tsui, Chao Geng, Lei Feng, Hu Wang, Liu Xinlei, Yu Wang and Dimitrios C. Kyritsis. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Fuel, Combustion and Flame, Journal of Biological Chemistry and Medical Oncology.

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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