Hongjie Yu
- Infectious Diseases top 0.1%
- Modeling and Simulation top 0.01%
- Epidemiology top 0.2%
- Public Health, Environmental and Occupational Health top 0.5%
- Economics and Econometrics top 0.5%
- Co-authors
- Cécile ViboudMarco AjelliAlessandro VespignaniMaria LitvinovaStefano MerlerBenjamin J. CowlingKaiyuan SunShengjie Lai
- Topics
- Influenza Virus Research Studies (97 papers)COVID-19 epidemiological studies (81 papers)Animal Disease Management and Epidemiology (61 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hongjie Yu
411 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Infectious Diseases 5.7k
- Modeling and Simulation 5.2k
- Epidemiology 4.7k
- Public Health, Environmental and Occupational Health 2.0k
- Economics and Econometrics 2.0k
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 of co-authors of Hongjie Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Hongjie Yu. A scholar is included among the top collaborators of Hongjie Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongjie Yu. Hongjie Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 67 | |
| 12 | 13 | |
| 13 | 243 | |
| 14 | The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreakbreakdown → | 2411 |
| 15 | LncRNA CASC11 is upregulated in postmenopausal osteoporosis and is correlated with TNF-α | 1 |
| 16 | A ten-long non-coding RNA signature for predicting prognosis of patients with cervical cancer | 1 |
| 17 | 20 | |
| 18 | Postoperative adjuvant chemotherapy combined with intracavitary brachytherapy in early-stage cervical cancer patients with intermediate risk factors | 0 |
| 19 | [Association of gene polymorphisms with the susceptibility of schizophrenia in Han Chinese population]. | 2 |
| 20 | Chemotherapy and EGFR tyrosine kinase inhibitors for treatment of brain metastases from non-small-cell lung cancer: survival analysis in 210 patients | 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) and Animal Disease Management and Epidemiology (61 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.