Lin Di
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 1
-
- Vascular Malformations Diagnosis and Treatment 2
- Co-authors
- Yanyi Huang (4 shared papers)Jianbin Wang (4 shared papers)Jizong Zhao (2 shared papers)Yingxi Yang (2 shared papers)Hao Li (2 shared papers)Zihan Yan (2 shared papers)Shuo Wang (2 shared papers)Jie Li (2 shared papers)
- Journals
- National Science Review (2 papers)Nature (1 paper)BMC Biology (1 paper)International Journal of Fatigue (1 paper)Nature Biomedical Engineering (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lin Di
14 papers receiving 626 citations
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 65
- Infectious Diseases 170
- Neurology 88
- Cancer Research 80
- Molecular Biology 200
Countries citing papers authored by Lin Di
This map shows the geographic impact of Lin Di'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 Lin Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Di more than expected).
Fields of papers citing papers by Lin Di
This network shows the impact of papers produced by Lin Di. 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 Lin Di. The network helps show where Lin Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Di, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 180 | |
| 2 | 2021 | 135 | |
| 3 | 2020 | 85 | |
| 4 | 2021 | 71 | |
| 5 | 2021 | 39 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 21 | |
| 8 | 2023 | 17 | |
| 9 | 2024 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2025 | 9 | |
| 12 | 2022 | 8 | |
| 13 | Seasonal effect on children with obstructive sleep apnea hypopnea syndrome. | 2009 | 1 |
| 14 | 2010 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Lin Di
Lin Di is a scholar working on Infectious Diseases, Neurology, Computer Graphics and Computer-Aided Design, Genetics and Molecular Biology, having authored 16 papers that have together received 631 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Genomics and Phylogenetic Studies (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Cellular and Composite Structures (2 papers), Evolution and Genetic Dynamics (2 papers), Obstructive Sleep Apnea Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Acoustic Wave Phenomena Research (1 paper). The work is most often cited by research in Modeling and Simulation (65 citations), Infectious Diseases (170 citations), Neurology (88 citations), Cancer Research (80 citations) and Molecular Biology (200 citations). Lin Di has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yanyi Huang, Jianbin Wang, Jizong Zhao, Yingxi Yang, Hao Li, Zihan Yan, Shuo Wang, Jie Li, Yuming Jiao and Yong Bao Cao. Their work appears in journals such as National Science Review, Nature, BMC Biology, International Journal of Fatigue and Nature Biomedical Engineering.
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.