Lanling Chu
Impact in
- Food Science top 5%
- Proteins in Food Systems
- Microencapsulation and Drying Processes
- Analytical Chemistry top 10%
- Analytical chemistry methods development
Papers in
- Food Science 14
- Proteins in Food Systems 7
- Microencapsulation and Drying Processes 6
- Melamine detection and toxicity 3
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- Analytical chemistry methods development 7
- Co-authors
- Juan Huang (9 shared papers)Xuemei Ge (2 shared papers)Qiang Xia (1 shared paper)Qiang Wang (1 shared paper)Xuejun Kang (7 shared papers)Chunxia Dou (3 shared papers)Dong Yue (3 shared papers)Hongjun Chu (3 shared papers)
In The Last Decade
Lanling Chu
40 papers receiving 706 citations
Peers
Comparison fields: 5 of 116
- Food Science 163
- Analytical Chemistry 71
- Biomaterials 90
- Biochemistry 37
- Pharmaceutical Science 31
Countries citing papers authored by Lanling Chu
This map shows the geographic impact of Lanling Chu'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 Lanling Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanling Chu more than expected).
Fields of papers citing papers by Lanling Chu
This network shows the impact of papers produced by Lanling Chu. 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 Lanling Chu. The network helps show where Lanling Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanling Chu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2022 | 84 | |
| 3 | 2017 | 49 | |
| 4 | 2017 | 36 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 29 | |
| 7 | 2022 | 26 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2017 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2016 | 17 | |
| 16 | 2019 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2023 | 14 | |
| 20 | 2017 | 14 |
About Lanling Chu
Lanling Chu is a scholar working on Food Science, Analytical Chemistry, Biomedical Engineering, Plant Science and Molecular Biology, having authored 40 papers that have together received 713 indexed citations. Recurring topics across this work include Proteins in Food Systems (7 papers), Analytical chemistry methods development (7 papers), Microencapsulation and Drying Processes (6 papers), Distributed Control Multi-Agent Systems (3 papers), Biochemical effects in animals (3 papers), Neural Networks Stability and Synchronization (3 papers), Mycotoxins in Agriculture and Food (3 papers) and Melamine detection and toxicity (3 papers). The work is most often cited by research in Food Science (163 citations), Analytical Chemistry (71 citations), Biomaterials (90 citations), Biochemistry (37 citations) and Pharmaceutical Science (31 citations). Lanling Chu has collaborated with scholars based in China, Chile and Canada. Frequent co-authors include Juan Huang, Xuemei Ge, Qiang Xia, Qiang Wang, Xuejun Kang, Chunxia Dou, Dong Yue, Hongjun Chu, Yuan Song and Yunzheng Wang. Their work appears in journals such as RSC Advances, International Journal of Biological Macromolecules, LWT, Food Chemistry and Analytical Methods.
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.