Ping Dong

868 citations
65 papers · 666 · h-index 15

Impact in

Papers in

Ping Dong

61 papers receiving 634 citations

Peers

Ping Dong
Comparison fields: 5 of 51
  • Computational Mechanics 275
  • Aerospace Engineering 275
  • Artificial Intelligence 226
  • Atomic and Molecular Physics, and Optics 212
  • Mechanical Engineering 207
Replace Jinping Li with:
Jinping Li China
Ningbo Zhao China
Chuanlong Xu China
Murray Snyder United States
W. Zima Poland
Jan Breitenbach Germany
Hu Wang China
James W. Melody United States
Hongbo Zhu China
Olivier Fudym France
Ping Dong relative to Jinping Li China Jinping Li's profile →
Citations per field
00.5×11.9×
Jinping Li · 1×
Citations per year

Countries citing papers authored by Ping Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ping Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Dong, 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 Ping Dong Line = papers co-authored together Ping Dong 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 2006115
2 201544
3 201432
4 200429
5 201928
6 201427
7 201525
8 200923
9 201722
10 202122
11 200621
12 201720
13 202218
14 200617
15 201714
16 202113
17 202113
18 201413
19 200913
20 201710

About Ping Dong

Ping Dong is a scholar working on Aerospace Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Mechanics and Mechanical Engineering, having authored 65 papers that have together received 666 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (26 papers), Turbomachinery Performance and Optimization (22 papers), Heat Transfer Mechanisms (16 papers), Quantum and electron transport phenomena (15 papers), Quantum Computing Algorithms and Architecture (15 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Combustion and flame dynamics (8 papers). The work is most often cited by research in Computational Mechanics (275 citations), Aerospace Engineering (275 citations), Artificial Intelligence (226 citations), Atomic and Molecular Physics, and Optics (212 citations) and Mechanical Engineering (207 citations). Ping Dong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhuo‐Liang Cao, Qun Zheng, Zheng‐Yuan Xue, Jie Gao, Ming Yang, Yuting Jiang, Guoqiang Yue, Cheng Dong, Hai Zhang and Chunyong Wang. Their work appears in journals such as Laser Physics Letters, International Communications in Heat and Mass Transfer, Physics Letters A, Ocean Engineering and Physica B Condensed Matter.

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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