Deyong Yang

1.3k citations
92 papers · 945 · h-index 19

Impact in

Papers in

    • Food Drying and Modeling 23
    • Microencapsulation and Drying Processes 12
    • Agricultural Engineering and Mechanization 11
    • Metal Forming Simulation Techniques 9

Deyong Yang

86 papers receiving 926 citations

Peers

Deyong Yang
Comparison fields: 5 of 106
  • Analytical Chemistry 233
  • Food Science 313
  • Animal Science and Zoology 82
  • Industrial and Manufacturing Engineering 62
  • Biotechnology 49
Replace Saman Abdanan Mehdizadeh with:
Saman Abdanan Mehdizadeh Iran
Juan Vicente Méndez‐Méndez Mexico
M. A. Hussein Germany
Alemayehu Ambaw South Africa
Tobi Fadiji South Africa
Michèle Marcotte Canada
Zehua Hu China
Hassan Sadrnia Iran
Chandan Kumar Australia
Weijun Xie China
Deyong Yang relative to Saman Abdanan Mehdizadeh Iran Saman Abdanan Mehdizadeh's profile →
Citations per field
00.5×2.6×
Saman Abdanan Mehdizadeh · 1×
Citations per year

Countries citing papers authored by Deyong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Deyong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 202149
3 201940
4 202035
5 202032
6 202331
7 202231
8 202130
9 201027
10 201927
11 200726
12 202125
13 202224
14 201223
15 202123
16 201922
17 202420
18 201018
19 200818
20 202218

About Deyong Yang

Deyong Yang is a scholar working on Food Science, Mechanical Engineering, Analytical Chemistry, Mechanics of Materials and Plant Science, having authored 92 papers that have together received 945 indexed citations. Recurring topics across this work include Food Drying and Modeling (23 papers), Spectroscopy and Chemometric Analyses (20 papers), Microencapsulation and Drying Processes (12 papers), Food composition and properties (11 papers), Agricultural Engineering and Mechanization (11 papers), Smart Agriculture and AI (10 papers), Metallurgy and Material Forming (9 papers) and Metal Forming Simulation Techniques (9 papers). The work is most often cited by research in Analytical Chemistry (233 citations), Food Science (313 citations), Animal Science and Zoology (82 citations), Industrial and Manufacturing Engineering (62 citations) and Biotechnology (49 citations). Deyong Yang has collaborated with scholars based in China, South Korea and Australia. Frequent co-authors include Weijun Xie, Shuo Wei, Fenghe Wang, Pengxiao Chen, Yankun Peng, Zhaohui Zheng, Yali Wang, Qibin Zhuang, Qinghong Liu and Fengxian Qiu. Their work appears in journals such as Drying Technology, Food and Bioproducts Processing, Engineering Computations, Biosystems Engineering and Computers and Electronics in Agriculture.

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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