Daniel Zhu

60 papers receiving 3.3k citations

Daniel Zhu's Hit Papers

The Prevalence of Olfactory and Gustatory Dysfunction in COVID‐19 Patients: A Systematic Review and Meta‐analysis 2020 · 406 citations
4060+9+19Years since publication250500750

Peers

Daniel Zhu
Comparison fields: 5 of 125
  • Fluid Flow and Transfer Processes 1.7k
  • Computational Mechanics 1.6k
  • Sensory Systems 238
  • Aerospace Engineering 985
  • Safety, Risk, Reliability and Quality 278
Replace Sheng Chen with:
Sheng Chen China
S. Narasimha Murthy United States
Wookyung Kim Japan
Günter Brenn Austria
Bin Chen China
Masataka ARAI Japan
Guo-Xiu Li China
Rasoul Moradi Azerbaijan
Mohammad Hassan Saidi Iran
Ming Jia China
Daniel Zhu relative to Sheng Chen China Sheng Chen's profile →
Citations per field
00.5×10×20×30×39.7×
Sheng Chen · 1×
Citations per year

Countries citing papers authored by Daniel Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Kinetics of transesterification of soybean oil
Hit paper breakdown →
1997813
2
The Prevalence of Olfactory and Gustatory Dysfunction in COVID‐19 Patients: A Systematic Review and Meta‐analysis
Hit paper breakdown →
2020406
3 2002314
4 2000313
5 2005210
6 1991190
7 1988156
8 2010136
9 1989128
10 2011110
11 202080
12 199572
13 201055
14 198942
15 198735
16 201732
17 199830
18 199828
19 199521
20 202219

About Daniel Zhu

Daniel Zhu is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Aerospace Engineering, Ophthalmology and Mechanics of Materials, having authored 66 papers that have together received 3.4k indexed citations. Recurring topics across this work include Combustion and flame dynamics (20 papers), Advanced Combustion Engine Technologies (18 papers), Combustion and Detonation Processes (13 papers), Rocket and propulsion systems research (6 papers), Glaucoma and retinal disorders (5 papers), Energetic Materials and Combustion (5 papers), Ocular Infections and Treatments (4 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.7k citations), Computational Mechanics (1.6k citations), Sensory Systems (238 citations), Aerospace Engineering (985 citations) and Safety, Risk, Reliability and Quality (278 citations). Daniel Zhu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include H. Noureddini, Chung K. Law, Stephen D. Tse, C.K. Law, Amanda Wong, Tristan Tham, Fokion N. Egolfopoulos, C.K. Law, Jane Y. Tong and Judd H. Fastenberg. Their work appears in journals such as Proceedings of the Combustion Institute, Combustion and Flame, Otolaryngology, Combustion Science and Technology and Ophthalmic surgery, lasers & imaging retina.

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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