Jingyuan Yu
- Mechanical Engineering top 10%
- Sociology and Political Science top 10%
- Materials Chemistry
- Mechanics of Materials top 10%
- Artificial Intelligence top 10%
- Co-authors
- Griffith FeeneyGuangtian ZhuJuan Muñoz-JustíciaYufu XuXudong SunXianguo HuJian GengEkaterina Artemova
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)COVID-19 epidemiological studies (8 papers)Advanced biosensing and bioanalysis techniques (7 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jingyuan Yu
75 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Mechanical Engineering 253
- Sociology and Political Science 191
- Materials Chemistry 188
- Mechanics of Materials 188
- Artificial Intelligence 159
Countries citing papers authored by Jingyuan Yu
This map shows the geographic impact of Jingyuan 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 Jingyuan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyuan Yu more than expected).
Fields of papers citing papers by Jingyuan Yu
This network shows the impact of papers produced by Jingyuan 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 Jingyuan Yu. The network helps show where Jingyuan Yu may publish in the future.
Co-authorship network of co-authors of Jingyuan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Jingyuan Yu. A scholar is included among the top collaborators of Jingyuan 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 Jingyuan Yu. Jingyuan 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 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaborationbreakdown → | 166 |
| 16 | 6 | |
| 17 | 4 | |
| 18 | Predicting model on ultimate compressive strength of Al2O3-ZrO2 ceramic foam filter based on BP neural network | 3 |
| 19 | A Two-strain Epidemic Model with Super-infection and Vaccination | 7 |
| 20 | Meta-synthesis-Study of Case | 11 |
About Jingyuan Yu
Jingyuan Yu is a scholar working on Modeling and Simulation, Communication and Public Health, Environmental and Occupational Health, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Modeling and Simulation (86 citations), Gender Studies (87 citations) and Mechanics of Materials (188 citations). Jingyuan Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Griffith Feeney, Guangtian Zhu, Juan Muñoz-Justícia, Yufu Xu, Xudong Sun, Xianguo Hu, Jian Geng, Ekaterina Artemova, Jian Song and Gerardo Chowell. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.