Yuan Chi
Impact in
- Food Science top 2%
- Proteins in Food Systems
- Microencapsulation and Drying Processes
- Polysaccharides Composition and Applications
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
Papers in
- Food Science 34
- Proteins in Food Systems 33
- Microencapsulation and Drying Processes 16
- Polysaccharides Composition and Applications 11
-
- Meat and Animal Product Quality 16
- Co-authors
- Yujie ChiNiancheng ZhouQianggang WangYanqiu MaYan XuJian WangFei LuHuajiang Zhang
In The Last Decade
Yuan Chi
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Food Science 506
- Animal Science and Zoology 215
- Energy Engineering and Power Technology 46
- Control and Systems Engineering 210
- Nutrition and Dietetics 107
Countries citing papers authored by Yuan Chi
This map shows the geographic impact of Yuan Chi'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 Yuan Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Chi more than expected).
Fields of papers citing papers by Yuan Chi
This network shows the impact of papers produced by Yuan Chi. 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 Yuan Chi. The network helps show where Yuan Chi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuan Chi, 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 | 2025 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 22 | |
| 10 | 2023 | 47 | |
| 11 | 2023 | 26 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 7 | |
| 16 | 2020 | 31 | |
| 17 | 2019 | 36 | |
| 18 | 2019 | 1 | |
| 19 | 2018 | 8 | |
| 20 | 2017 | 146 |
About Yuan Chi
Yuan Chi is a scholar working on Food Science, Animal Science and Zoology, Energy Engineering and Power Technology, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Proteins in Food Systems (33 papers), Optimal Power Flow Distribution (17 papers), Meat and Animal Product Quality (16 papers), Microgrid Control and Optimization (16 papers), Microencapsulation and Drying Processes (16 papers), Polysaccharides Composition and Applications (11 papers), Power System Optimization and Stability (10 papers) and Smart Grid Energy Management (10 papers). The work is most often cited by research in Food Science (506 citations), Animal Science and Zoology (215 citations), Energy Engineering and Power Technology (46 citations), Control and Systems Engineering (210 citations) and Nutrition and Dietetics (107 citations). Yuan Chi has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yujie Chi, Niancheng Zhou, Qianggang Wang, Yanqiu Ma, Yan Xu, Jian Wang, Fei Lu, Huajiang Zhang, Rui Zhang and Tao Ding. Their work appears in journals such as Food Chemistry, Food Research International, International Journal of Biological Macromolecules, IET Generation Transmission & Distribution and International Journal of Electrical Power & Energy Systems.
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.