V.N. Tran

564 citations
29 papers · 346 · h-index 10

Impact in

Papers in

V.N. Tran

26 papers receiving 321 citations

Peers

V.N. Tran
Comparison fields: 5 of 88
  • Food Science 90
  • Physiology 14
  • Plant Science 104
  • Biotechnology 23
  • Electrical and Electronic Engineering 112
Replace Maria Valeria De Bonis with:
Maria Valeria De Bonis Italy
Shan He China
Chongshan Zhong China
S. O. Nelson United States
Magdalena Kristiawan France
Anika Singh Canada
Alexey S. Dorokhov Russia
Jianying Zhao China
Reham M. Kamel Egypt
V.N. Tran relative to Maria Valeria De Bonis Italy Maria Valeria De Bonis's profile →
Citations per field
00.5×3.9×
Maria Valeria De Bonis · 1×
Citations per year

Countries citing papers authored by V.N. Tran

Since Specialization
Citations

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

Fields of papers citing papers by V.N. Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.N. Tran. 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 V.N. Tran. The network helps show where V.N. Tran may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199555
2 202045
3 198438
4 201337
5 198735
6 197934
7 202320
8 200517
9 199612
10 19799
11 19998
12 20226
13
A study of drying characteristics of foods using a thermogravimetric analyser
19974
14 20084
15 20233
16 19903
17 20003
18 20122
19 19812
20
Microwave treatment of acacia seed with particular reference to Acacia longifolia.
19802

About V.N. Tran

V.N. Tran is a scholar working on Electrical and Electronic Engineering, Food Science, Molecular Biology, Physiology and Soil Science, having authored 29 papers that have together received 346 indexed citations. Recurring topics across this work include Microwave and Dielectric Measurement Techniques (5 papers), Millimeter-Wave Propagation and Modeling (4 papers), Food Drying and Modeling (4 papers), Microwave Engineering and Waveguides (3 papers), Plant Growth and Agriculture Techniques (3 papers), Magnetic and Electromagnetic Effects (3 papers), Insect and Pesticide Research (2 papers) and Food Quality and Safety Studies (2 papers). The work is most often cited by research in Food Science (90 citations), Physiology (14 citations), Plant Science (104 citations), Biotechnology (23 citations) and Electrical and Electronic Engineering (112 citations). V.N. Tran has collaborated with scholars based in Australia, Czechia and Vietnam. Frequent co-authors include Wing-kin Tam, S.S. Stuchly, Tomáš Ruml, Jitka Viktorová, Văn Việt Mẫn Lê, A.W. Kraszewski, E. S. Bernard, Bee K. May, A.L. Halmos and Andrew J Sinclair. Their work appears in journals such as Drying Technology, Journal of Apicultural Research, Microwave and Optical Technology Letters, Biochemical Engineering Journal and Applied Biochemistry and Biotechnology.

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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