Xiaoye He
Impact in
- Food Science top 2%
- Proteins in Food Systems
- Microencapsulation and Drying Processes
- Food Chemistry and Fat Analysis
- Polysaccharides Composition and Applications
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
- Food Science 12
- Proteins in Food Systems 12
- Microencapsulation and Drying Processes 7
- Polysaccharides Composition and Applications 2
- Food Chemistry and Fat Analysis 2
- Co-authors
- Kedong Tai (5 shared papers)Fang Yuan (8 shared papers)Yanxiang Gao (3 shared papers)Peihua Ma (4 shared papers)Like Mao (4 shared papers)Wei Zhao (3 shared papers)Fang Yuan (3 shared papers)Fuguo Liu (2 shared papers)
- Journals
- Food Chemistry (3 papers)Journal of Dispersion Science and Technology (2 papers)Innovative Food Science & Emerging Technologies (2 papers)Gels (1 paper)Journal of Food Engineering (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Xiaoye He
19 papers receiving 997 citations
Peers
Comparison fields: 5 of 98
- Food Science 503
- Molecular Medicine 93
- Biochemistry 107
- Pharmaceutical Science 88
- Nutrition and Dietetics 200
Countries citing papers authored by Xiaoye He
This map shows the geographic impact of Xiaoye He'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 Xiaoye He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoye He more than expected).
Fields of papers citing papers by Xiaoye He
This network shows the impact of papers produced by Xiaoye He. 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 Xiaoye He. The network helps show where Xiaoye He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoye He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 138 | |
| 2 | 2016 | 130 | |
| 3 | 2014 | 128 | |
| 4 | 2018 | 103 | |
| 5 | 2017 | 103 | |
| 6 | 2014 | 82 | |
| 7 | 2017 | 64 | |
| 8 | 2018 | 57 | |
| 9 | 2016 | 43 | |
| 10 | 2018 | 36 | |
| 11 | 2019 | 29 | |
| 12 | 2020 | 26 | |
| 13 | 2014 | 26 | |
| 14 | 2023 | 16 | |
| 15 | 2022 | 9 | |
| 16 | 2015 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 |
About Xiaoye He
Xiaoye He is a scholar working on Food Science, Molecular Biology, Nutrition and Dietetics, Molecular Medicine and Materials Chemistry, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Proteins in Food Systems (12 papers), Microencapsulation and Drying Processes (7 papers), Curcumin's Biomedical Applications (3 papers), Polysaccharides Composition and Applications (2 papers), Pomegranate: compositions and health benefits (2 papers), Food Chemistry and Fat Analysis (2 papers), Microbial Inactivation Methods (2 papers) and Pickering emulsions and particle stabilization (2 papers). The work is most often cited by research in Food Science (503 citations), Molecular Medicine (93 citations), Biochemistry (107 citations), Pharmaceutical Science (88 citations) and Nutrition and Dietetics (200 citations). Xiaoye He has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Kedong Tai, Fang Yuan, Yanxiang Gao, Peihua Ma, Like Mao, Wei Zhao, Fang Yuan, Fuguo Liu, Jianke Li and Qinghan Zeng. Their work appears in journals such as Food Chemistry, Journal of Dispersion Science and Technology, Innovative Food Science & Emerging Technologies, Gels and Journal of Food Engineering.
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.