Ku Li
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Nutrition and Dietetics top 2%
- Biochemical Analysis and Sensing Techniques
- Food composition and properties
Papers in
- Food Science 23
- Proteins in Food Systems 13
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- Biochemical Analysis and Sensing Techniques 10
- Food composition and properties 7
- Co-authors
- Pei Li (10 shared papers)Shuo Shen (10 shared papers)Huanlu Song (8 shared papers)Yuyu Zhang (10 shared papers)Changhu Xue (7 shared papers)Songgang Xia (7 shared papers)Xiaoming Jiang (7 shared papers)Jian Song (6 shared papers)
- Journals
- Food Hydrocolloids (7 papers)Food Chemistry (4 papers)Foods (3 papers)Food Research International (2 papers)Journal of Food Science (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ku Li
41 papers receiving 809 citations
Peers
Comparison fields: 5 of 76
- Animal Science and Zoology 308
- Nutrition and Dietetics 376
- Food Science 344
- Sensory Systems 83
- Biotechnology 38
Countries citing papers authored by Ku Li
This map shows the geographic impact of Ku Li'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 Ku Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ku Li more than expected).
Fields of papers citing papers by Ku Li
This network shows the impact of papers produced by Ku Li. 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 Ku Li. The network helps show where Ku Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ku Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 82 | |
| 2 | 2022 | 65 | |
| 3 | 2022 | 56 | |
| 4 | 2020 | 51 | |
| 5 | 2024 | 40 | |
| 6 | 2023 | 40 | |
| 7 | 2020 | 39 | |
| 8 | 2023 | 33 | |
| 9 | 2023 | 32 | |
| 10 | 2023 | 31 | |
| 11 | 2022 | 30 | |
| 12 | 2022 | 29 | |
| 13 | 2019 | 25 | |
| 14 | 2024 | 24 | |
| 15 | 2024 | 23 | |
| 16 | 2023 | 18 | |
| 17 | 2023 | 17 | |
| 18 | 2023 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2020 | 16 |
About Ku Li
Ku Li is a scholar working on Food Science, Nutrition and Dietetics, Animal Science and Zoology, Biomedical Engineering and Molecular Biology, having authored 45 papers that have together received 816 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (16 papers), Proteins in Food Systems (13 papers), Biochemical Analysis and Sensing Techniques (10 papers), Advanced Chemical Sensor Technologies (7 papers), Food composition and properties (7 papers), Olfactory and Sensory Function Studies (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Phytase and its Applications (5 papers). The work is most often cited by research in Animal Science and Zoology (308 citations), Nutrition and Dietetics (376 citations), Food Science (344 citations), Sensory Systems (83 citations) and Biotechnology (38 citations). Ku Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Pei Li, Shuo Shen, Huanlu Song, Yuyu Zhang, Changhu Xue, Songgang Xia, Xiaoming Jiang, Jian Song, Ali Raza and Jingcheng Zhang. Their work appears in journals such as Food Hydrocolloids, Food Chemistry, Foods, Food Research International and Journal of Food Science.
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.