Kailing Li
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
-
- Grey System Theory Applications
Papers in
-
- 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)Jingwen Qiu (3 shared papers)Jianhui Yan (3 shared papers)Jun Wan (8 shared papers)Juli Liu (5 shared papers)
- Journals
- Scientific Reports (3 papers)International Journal of Pharmaceutics (2 papers)Energy (2 papers)International Journal of Nanomedicine (2 papers)Communications in Nonlinear Science and Numerical Simulation (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kailing Li
52 papers receiving 779 citations
Peers
Comparison fields: 5 of 128
- Infectious Diseases 105
- Management Science and Operations Research 81
- Pharmaceutical Science 31
- Neurology 57
- Food Science 73
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2020 | 45 | |
| 3 | 2021 | 45 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 39 | |
| 6 | 2012 | 39 | |
| 7 | 2019 | 38 | |
| 8 | 2024 | 33 | |
| 9 | 2020 | 31 | |
| 10 | 2023 | 27 | |
| 11 | 2022 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2020 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2024 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2018 | 15 |
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 60 papers that have together received 796 indexed citations. Recurring topics across this work include Grey System Theory Applications (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Advanced Battery Technologies Research (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Reliability and Maintenance Optimization (4 papers), Probiotics and Fermented Foods (4 papers) and Evacuation and Crowd Dynamics (3 papers). The work is most often cited by research in Infectious Diseases (105 citations), Management Science and Operations Research (81 citations), Pharmaceutical Science (31 citations), Neurology (57 citations) and Food Science (73 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, Jingwen Qiu, Jianhui Yan, Jun Wan, Juli Liu, Jikui Shen and Lei Yang. Their work appears in journals such as Scientific Reports, International Journal of Pharmaceutics, Energy, International Journal of Nanomedicine and Communications in Nonlinear Science and Numerical Simulation.
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.