Hongjie Yu
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies 81
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 41
- Viral gastroenteritis research and epidemiology 40
- Viral Infections and Vectors 38
- Health top 0.2%
- Agronomy and Crop Science top 0.2%
- Animal Disease Management and Epidemiology 61
- Epidemiology top 0.2%
- Influenza Virus Research Studies 97
- Respiratory viral infections research 54
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- Viral Infections and Immunology Research 37
Hongjie Yu
411 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Modeling and Simulation 5.2k
- Infectious Diseases 5.7k
- Health 1.6k
- Agronomy and Crop Science 1.8k
- Epidemiology 4.7k
Countries citing papers authored by Hongjie Yu
This map shows the geographic impact of Hongjie Yu'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 Hongjie Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongjie Yu more than expected).
Fields of papers citing papers by Hongjie Yu
This network shows the impact of papers produced by Hongjie Yu. 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 Hongjie Yu. The network helps show where Hongjie Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongjie Yu, 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 | 2025 | 6 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 67 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 243 | |
| 14 | The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreakbreakdown → | 2020 | 2411 |
| 15 | LncRNA CASC11 is upregulated in postmenopausal osteoporosis and is correlated with TNF-α | 2019 | 1 |
| 16 | A ten-long non-coding RNA signature for predicting prognosis of patients with cervical cancer | 2018 | 1 |
| 17 | 2018 | 20 | |
| 18 | Postoperative adjuvant chemotherapy combined with intracavitary brachytherapy in early-stage cervical cancer patients with intermediate risk factors | 2016 | 0 |
| 19 | [Association of gene polymorphisms with the susceptibility of schizophrenia in Han Chinese population]. | 2015 | 2 |
| 20 | Chemotherapy and EGFR tyrosine kinase inhibitors for treatment of brain metastases from non-small-cell lung cancer: survival analysis in 210 patients | 2013 | 4 |
About Hongjie Yu
Hongjie Yu is a scholar working on Modeling and Simulation, Infectious Diseases and Agronomy and Crop Science, having authored 436 papers that have together received 16.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (97 papers), COVID-19 epidemiological studies (81 papers), Animal Disease Management and Epidemiology (61 papers), Respiratory viral infections research (54 papers), SARS-CoV-2 and COVID-19 Research (41 papers), Viral gastroenteritis research and epidemiology (40 papers), Viral Infections and Vectors (38 papers) and Viral Infections and Immunology Research (37 papers). The work is most often cited by research in Modeling and Simulation (5.2k citations), Infectious Diseases (5.7k citations) and Health (1.6k citations). Hongjie Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cécile Viboud, Marco Ajelli, Alessandro Vespignani, Maria Litvinova, Stefano Merler, Benjamin J. Cowling, Kaiyuan Sun, Shengjie Lai, Juan Yang and Shuo Feng. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.