Kaijun Jiang
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Viral Infections and Vectors 6
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 2
-
- Animal Disease Management and Epidemiology 5
- Co-authors
- Florian KrammerDaniel StadlbauerFatima AmanatMeagan McMahonChristina CapuanoViviana SimonJessica TanGuha Asthagiri Arunkumar
- Journals
- Applied Intelligence (3 papers)Journal of Wildlife Diseases (2 papers)Archives of Virology (2 papers)Journal of Virology (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Kaijun Jiang
22 papers receiving 803 citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 603
- Modeling and Simulation 75
- Agronomy and Crop Science 95
- Epidemiology 245
- Animal Science and Zoology 62
Countries citing papers authored by Kaijun Jiang
This map shows the geographic impact of Kaijun Jiang'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 Kaijun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijun Jiang more than expected).
Fields of papers citing papers by Kaijun Jiang
This network shows the impact of papers produced by Kaijun Jiang. 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 Kaijun Jiang. The network helps show where Kaijun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijun Jiang, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 7 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 117 | |
| 11 | 2020 | 72 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 362 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 9 | |
| 16 | 2015 | 25 | |
| 17 | 2014 | 6 | |
| 18 | 2014 | 86 | |
| 19 | [Preliminary studies on proliferation of hemorrhagic fever with renal syndrome virus in Leptotrombidium (L.) Scutellare]. | 1997 | 6 |
| 20 | The role of Leptotrombidium scutellare in the transmission of human diseases. | 1996 | 29 |
About Kaijun Jiang
Kaijun Jiang is a scholar working on Infectious Diseases, Agronomy and Crop Science, Applied Psychology, Computational Theory and Mathematics and Epidemiology, having authored 24 papers that have together received 812 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Adaptive Dynamic Programming Control (6 papers), Viral Infections and Vectors (6 papers), Animal Disease Management and Epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Respiratory viral infections research (4 papers), Reinforcement Learning in Robotics (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (603 citations), Modeling and Simulation (75 citations), Agronomy and Crop Science (95 citations), Epidemiology (245 citations) and Animal Science and Zoology (62 citations). Kaijun Jiang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Florian Krammer, Daniel Stadlbauer, Fatima Amanat, Meagan McMahon, Christina Capuano, Viviana Simon, Jessica Tan, Guha Asthagiri Arunkumar, Su Hui Catherine Teo and Shirin Strohmeier. Their work appears in journals such as Applied Intelligence, Journal of Wildlife Diseases, Archives of Virology, Journal of Virology and Nature Communications.
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.