Nan Fu

3.9k citations
122 papers · 3.1k indexed · h-index 32

Nan Fu

117 papers receiving 3.1k citations

Peers

Nan Fu
Comparison fields: 5 of 140
  • Food Science 1.5k
  • Biotechnology 254
  • Nutrition and Dietetics 361
  • Biomedical Engineering 566
  • Pharmaceutical Science 78
Replace John N. Coupland with:
John N. Coupland United States
Sheryl A. Barringer United States
Ganesan Narsimhan United States
Stephan Handschin Switzerland
Wenjun Fang China
I. W. Marison Switzerland
Takeshi Furuta Japan
Xi Yu China
Sosaku Ichikawa Japan
Wei Lü China
Nan Fu relative to John N. Coupland United States John N. Coupland's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Nan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 202228
4
Evaluation of foxtail millet yield stability and adaptability using GGE-biplot analysis: A case study of ‘Yugu18’ foxtail millet cultivar
20201
5 20207
6 201918
7 20183
8 20186
9 2017127
10 20174
11 20175
12 201711
13 20153
14 20155
15 20156
16 20159
17 20145
18 201428
19
Investigation on the dissolution behaviour of milk at different stages of crust formation using the glass filament method
20101
20
A Novel One-pot Synthesis of 3,4-Dihydropyrimidine-2(1H)-ones Catalyzed by Indium Tribromide
20032

About Nan Fu

Nan Fu is a scholar working on Food Science, Biotechnology, Physiology, Computational Mechanics and Nutrition and Dietetics, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microencapsulation and Drying Processes (55 papers), Proteins in Food Systems (21 papers), Probiotics and Fermented Foods (16 papers), Food Drying and Modeling (13 papers), Microbial Inactivation Methods (13 papers), Fluid Dynamics and Heat Transfer (8 papers), Inhalation and Respiratory Drug Delivery (8 papers) and Nanomaterials and Printing Technologies (7 papers). The work is most often cited by research in Food Science (1.5k citations), Biotechnology (254 citations), Nutrition and Dietetics (361 citations), Biomedical Engineering (566 citations) and Pharmaceutical Science (78 citations). Nan Fu has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Xiao Dong Chen, Meng Wai Woo, P. Peiris, Huolin Shen, Cordelia Selomulya, Winston Duo Wu, Jun‐Hui Zhang, Sheng‐Ming Xie, Li‐Ming Yuan and Song Huang. Their work appears in journals such as International Journal of Food Engineering, Journal of Food Engineering, Food Research International, Drying Technology and Food and Bioprocess Technology.

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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