Huling Li
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- COVID-19 epidemiological studies 4
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- Neuroscience and Neuropharmacology Research 3
- Neuropeptides and Animal Physiology 3
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Kai Wang (6 shared papers)Hua Yao (1 shared paper)Zhihang Peng (3 shared papers)Xiao‐Dong Hu (6 shared papers)Zhen Guo (6 shared papers)Zhan‐Wei Suo (6 shared papers)Yang Xian (5 shared papers)Lixing Zhang (1 shared paper)
In The Last Decade
Huling Li
25 papers receiving 394 citations
Peers
Comparison fields: 5 of 96
- Modeling and Simulation 97
- Health Information Management 20
- Infectious Diseases 49
- Cellular and Molecular Neuroscience 40
- Physiology 46
Countries citing papers authored by Huling Li
This map shows the geographic impact of Huling 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 Huling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huling Li more than expected).
Fields of papers citing papers by Huling Li
This network shows the impact of papers produced by Huling 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 Huling Li. The network helps show where Huling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Huling 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 29 | |
| 5 | 2018 | 26 | |
| 6 | 2019 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2022 | 19 | |
| 10 | 2023 | 19 | |
| 11 | 2009 | 15 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2025 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2019 | 4 |
About Huling Li
Huling Li is a scholar working on Modeling and Simulation, Cellular and Molecular Neuroscience, Health Information Management, Physiology and Epidemiology, having authored 26 papers that have together received 404 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Pain Mechanisms and Treatments (4 papers), COVID-19 Pandemic Impacts (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuropeptides and Animal Physiology (3 papers), Data-Driven Disease Surveillance (2 papers), Artificial Intelligence in Healthcare (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Modeling and Simulation (97 citations), Health Information Management (20 citations), Infectious Diseases (49 citations), Cellular and Molecular Neuroscience (40 citations) and Physiology (46 citations). Huling Li has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Kai Wang, Hua Yao, Zhihang Peng, Xiao‐Dong Hu, Zhen Guo, Zhan‐Wei Suo, Yang Xian, Lixing Zhang, Xingyan Zhang and Xinping Li. Their work appears in journals such as European Journal of Pharmacology, Neuroscience, Frontiers in Genetics, JAMA Network Open and Geospatial health.
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.