Pingting Chen

563 citations
45 papers · 405 indexed · h-index 12

Pingting Chen

41 papers receiving 398 citations

Peers

Pingting Chen
Comparison fields: 5 of 58
  • Computational Mechanics 227
  • Aerospace Engineering 269
  • Mechanical Engineering 266
  • Statistics, Probability and Uncertainty 20
  • Neurology 30
Replace J. Ortega-Casanova with:
J. Ortega-Casanova Spain
Reid A. Berdanier United States
S. A. Hippensteele United States
Xiang Luo China
Kuahai Yu China
Kun Du China
Michael Fox United States
Guoqiang Yue China
Dale E. Van Zante United States
Pingting Chen relative to J. Ortega-Casanova Spain J. Ortega-Casanova's profile →
Citations per field
00.5×3.0×
J. Ortega-Casanova · 1×
Citations per year

Countries citing papers authored by Pingting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pingting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20247
4 20241
5 20241
6 20244
7 20240
8 20240
9 20246
10 20245
11 20234
12 20233
13 20233
14 202110
15 20214
16 202110
17 202112
18 20205
19 202010
20 201921

About Pingting Chen

Pingting Chen is a scholar working on Computational Mechanics, Aerospace Engineering, Mechanical Engineering, Neurology and Statistics, Probability and Uncertainty, having authored 45 papers that have together received 405 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (29 papers), Heat Transfer Mechanisms (28 papers), Fluid Dynamics and Turbulent Flows (15 papers), Combustion and flame dynamics (8 papers), Intracranial Aneurysms: Treatment and Complications (7 papers), Vascular Malformations Diagnosis and Treatment (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers) and Aerodynamics and Fluid Dynamics Research (4 papers). The work is most often cited by research in Computational Mechanics (227 citations), Aerospace Engineering (269 citations), Mechanical Engineering (266 citations), Statistics, Probability and Uncertainty (20 citations) and Neurology (30 citations). Pingting Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Hongde Jiang, Jing Ren, Xueying Li, Terrence W. Simon, Junkui Mao, Jun Wen, Long‐Qing Chen, Wei Shi, Yue Yang and Rui Zhu. Their work appears in journals such as International Journal of Thermal Sciences, Journal of Turbomachinery, Applied Thermal Engineering, International Journal of Heat and Mass Transfer and Journal of Engineering for Gas Turbines and Power.

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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