Kailing Li
Impact in
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- Grey System Theory Applications
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Grey System Theory Applications 7
- Co-authors
- Naiming Xie (7 shared papers)Pingping Xiong (3 shared papers)Jingqing Zhang (8 shared papers)Dan He (7 shared papers)Jianhui Yan (3 shared papers)Jingwen Qiu (3 shared papers)Jun Wan (8 shared papers)Shuyi Fang (5 shared papers)
- Journals
- Scientific Reports (3 papers)Journal of Translational Medicine (2 papers)Journal of Materials Engineering and Performance (2 papers)Nucleic Acids Research (2 papers)Nanoscale (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kailing Li
52 papers receiving 722 citations
Peers
Comparison fields: 5 of 131
- Management Science and Operations Research 78
- Infectious Diseases 101
- Pharmaceutical Science 30
- Food Science 74
- Neurology 57
Countries citing papers authored by Kailing Li
This map shows the geographic impact of Kailing 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 Kailing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailing Li more than expected).
Fields of papers citing papers by Kailing Li
This network shows the impact of papers produced by Kailing 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 Kailing Li. The network helps show where Kailing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kailing 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 44 | |
| 2 | 2020 | 44 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 39 | |
| 5 | 2019 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2012 | 36 | |
| 8 | 2020 | 30 | |
| 9 | 2022 | 27 | |
| 10 | 2024 | 25 | |
| 11 | 2019 | 25 | |
| 12 | 2023 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2020 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2018 | 15 | |
| 20 | 2024 | 13 |
About Kailing Li
Kailing Li is a scholar working on Molecular Biology, Management Science and Operations Research, Infectious Diseases, Control and Systems Engineering and Neurology, having authored 57 papers that have together received 740 indexed citations. Recurring topics across this work include Grey System Theory Applications (7 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Reliability and Maintenance Optimization (4 papers), Advanced Battery Technologies Research (4 papers), Probiotics and Fermented Foods (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Management Science and Operations Research (78 citations), Infectious Diseases (101 citations), Pharmaceutical Science (30 citations), Food Science (74 citations) and Neurology (57 citations). Kailing Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Naiming Xie, Pingping Xiong, Jingqing Zhang, Dan He, Jianhui Yan, Jingwen Qiu, Jun Wan, Shuyi Fang, Juli Liu and Lei Yang. Their work appears in journals such as Scientific Reports, Journal of Translational Medicine, Journal of Materials Engineering and Performance, Nucleic Acids Research and Nanoscale.
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.