Zhenyu Wang

3.3k citations
121 papers · 2.4k indexed · 1 hit paper · h-index 29

Impact in

Papers in

Zhenyu Wang

113 papers receiving 2.4k citations

Hit Papers

The Application of Artificial Intelligence and Big Data in the Food Industry 2023 · 90 citations
902023202620242025255075

Peers

Zhenyu Wang
Comparison fields: 5 of 147
  • Animal Science and Zoology 563
  • Food Science 760
  • Aquatic Science 184
  • Nutrition and Dietetics 337
  • Biochemistry 111
Replace Yueqi Wang with:
Yueqi Wang China
Guofeng Jin China
Kai Zhou China
Tong Xing China
Flávia Maria Netto Brazil
Meiling Chen China
María C. Millán-Linares Spain
Weimin Xu China
Xuanri Shen China
Mohammad Zarei Iran
Zhenyu Wang relative to Yueqi Wang China Yueqi Wang's profile →
Citations per field
00.5×3.2×
Yueqi Wang · 1×
Citations per year

Countries citing papers authored by Zhenyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20245
4 20240
5
The Application of Artificial Intelligence and Big Data in the Food Industry
Hit paper breakdown →
202390
6 20239
7 20233
8 20235
9 202214
10 202211
11 202232
12 20214
13 202020
14
Purification and preparation of nanoparticles of human H-chain ferritin.
20201
15 202093
16 202014
17 201987
18 201840
19 20177
20 201122

About Zhenyu Wang

Zhenyu Wang is a scholar working on Animal Science and Zoology, Food Science, Hematology, Nutrition and Dietetics and Molecular Biology, having authored 121 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (29 papers), Meat and Animal Product Quality (21 papers), Proteins in Food Systems (17 papers), Biochemical effects in animals (13 papers), Microencapsulation and Drying Processes (10 papers), Iron Metabolism and Disorders (10 papers), Trace Elements in Health (8 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Animal Science and Zoology (563 citations), Food Science (760 citations), Aquatic Science (184 citations), Nutrition and Dietetics (337 citations) and Biochemistry (111 citations). Zhenyu Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Ming Du, Maolin Tu, Di Wu, Chao Wu, Hui Chen, Cuiping Yu, Fengjiao Fan, Pujie Shi, Xianbing Xu and Wuchao Ma. Their work appears in journals such as Food Chemistry, Food & Function, Food Science & Nutrition, Food Bioscience and Journal of Agricultural and Food Chemistry.

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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