Z. Dai

1.3k citations
36 papers · 1.0k · h-index 15

Impact in

Papers in

Z. Dai

35 papers receiving 949 citations

Peers

Z. Dai
Comparison fields: 5 of 81
  • Computational Mechanics 784
  • Fluid Flow and Transfer Processes 129
  • Ocean Engineering 236
  • Environmental Engineering 129
  • Safety, Risk, Reliability and Quality 78
Replace Mikhael Gorokhovski with:
Mikhael Gorokhovski France
Zheng Yang China
F. J. Diez United States
E. Sanmiguel‐Rojas Spain
C. C. Landreth United States
Zhi-Gang Feng United States
G. Scheuerer Germany
Donald D. Gray United States
M. Sokolov Israel
Pierre Riccó United Kingdom
Z. Dai relative to Mikhael Gorokhovski France Mikhael Gorokhovski's profile →
Citations per field
00.5×2.5×
Mikhael Gorokhovski · 1×
Citations per year

Countries citing papers authored by Z. Dai

Since Specialization
Citations

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

Fields of papers citing papers by Z. Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001164
2 2002155
3 1999139
4 199861
5 199460
6 201647
7 199546
8 199942
9 202037
10 200035
11 199830
12 199825
13 199522
14 200019
15 199819
16 200213
17 199912
18 202111
19 20009
20
Comparative study of endoscopic thyroidectomy via a breast approach versus conventional open thyroidectomy in papillary thyroid microcarcinoma patients
20178

About Z. Dai

Z. Dai is a scholar working on Computational Mechanics, Environmental Engineering, Aerospace Engineering, Biomedical Engineering and Ocean Engineering, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Combustion and flame dynamics (12 papers), Wind and Air Flow Studies (9 papers), Particle Dynamics in Fluid Flows (8 papers), Fluid Dynamics and Heat Transfer (8 papers), Aerodynamics and Acoustics in Jet Flows (6 papers), Fluid Dynamics and Mixing (6 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Advanced Combustion Engine Technologies (5 papers). The work is most often cited by research in Computational Mechanics (784 citations), Fluid Flow and Transfer Processes (129 citations), Ocean Engineering (236 citations), Environmental Engineering (129 citations) and Safety, Risk, Reliability and Quality (78 citations). Z. Dai has collaborated with scholars based in United States, China and Finland. Frequent co-authors include G. M. Faeth, Khaled Sallam, L.-K. Tseng, K.-C. Lin, Peter B. Sunderland, David L. Urban, Ning Wen, Kewei Sun, Gregory T. Linteris and Fei Xu. Their work appears in journals such as Journal of Heat Transfer, International Journal of Multiphase Flow, International Journal of Radiation Oncology*Biology*Physics, AIAA Journal and Proceedings of the Combustion Institute.

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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