Guangnan Chen

153 papers receiving 3.1k citations

Peers

Guangnan Chen
Comparison fields: 5 of 147
  • Food Science 887
  • Biotechnology 226
  • Numerical Analysis 140
  • Analytical Chemistry 239
  • Mechanics of Materials 459
Replace D.I. Wilson with:
D.I. Wilson United Kingdom
Zhiwei Wang China
Jules Thibault Canada
Yin Zhang China
Jing Xu China
Ang Zhang China
Gil Garnier Australia
Diganta Bhusan Das United Kingdom
David K. Johnson United States
Alvin W. Nienow United Kingdom
Guangnan Chen relative to D.I. Wilson United Kingdom D.I. Wilson's profile →
Citations per field
00.5×10×14×
D.I. Wilson · 1×
Citations per year

Countries citing papers authored by Guangnan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangnan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018217
2 2018183
3 2016168
4 2018145
5 2018104
6 201693
7 201889
8 201788
9 201577
10 200973
11 201071
12 199963
13 201860
14 201857
15 201354
16 202053
17 201853
18 201649
19 199048
20 201848

About Guangnan Chen

Guangnan Chen is a scholar working on Mechanics of Materials, Mechanical Engineering, Food Science, Biomedical Engineering and Plant Science, having authored 164 papers that have together received 3.2k indexed citations. Recurring topics across this work include Food Drying and Modeling (16 papers), Spectroscopy and Chemometric Analyses (14 papers), Metal and Thin Film Mechanics (14 papers), Agriculture Sustainability and Environmental Impact (13 papers), Sugarcane Cultivation and Processing (12 papers), Environmental Impact and Sustainability (12 papers), Natural Products and Biological Research (10 papers) and Numerical methods in engineering (9 papers). The work is most often cited by research in Food Science (887 citations), Biotechnology (226 citations), Numerical Analysis (140 citations), Analytical Chemistry (239 citations) and Mechanics of Materials (459 citations). Guangnan Chen has collaborated with scholars based in China, Australia and Malaysia. Frequent co-authors include Norhashila Hashim, Daniel Onwude, Khalina Abdan, Rimfiel Janius, Dariush Zare, Les Bowtell, Catherine Hills, Nazmi Mat Nawi, Song He and Yajun Huang. Their work appears in journals such as Surface and Coatings Technology, Biosystems Engineering, Drying Technology, Renewable and Sustainable Energy Reviews and Materials Science and Engineering A.

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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