Kaijun Jiang

5.4k citations
22 papers · 854 · h-index 11

Impact in

Papers in

    • Viral Infections and Vectors 5
    • SARS-CoV-2 and COVID-19 Research 4
    • Influenza Virus Research Studies 10
    • Respiratory viral infections research 4

Kaijun Jiang

22 papers receiving 848 citations

Peers

Kaijun Jiang
Comparison fields: 5 of 82
  • Infectious Diseases 560
  • Modeling and Simulation 58
  • Agronomy and Crop Science 89
  • Epidemiology 238
  • Animal Science and Zoology 60
Replace Jyh-Yuan Yang with:
Jyh-Yuan Yang Taiwan
Patricia Sastre Spain
Runyu Yuan China
Paul S. Wikramaratna United Kingdom
Rebecca Frise United Kingdom
Azza Abdelgawad Germany
Carl Shaia United States
Zhongfang Wang China
Tabea Binger Germany
Dimpal A. Nyayanit India
Kaijun Jiang relative to Jyh-Yuan Yang Taiwan Jyh-Yuan Yang's profile →
Citations per field
00.5×5.5×
Jyh-Yuan Yang · 1×
Citations per year

Countries citing papers authored by Kaijun Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kaijun Jiang Line = papers co-authored together Kaijun Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020374
2 2021123
3 201488
4 202073
5
The role of Leptotrombidium scutellare in the transmission of human diseases.
199629
6 202125
7 201525
8 202318
9 202118
10 201913
11 202511
12 202410
13 20229
14 20189
15 20207
16 20146
17
[Preliminary studies on proliferation of hemorrhagic fever with renal syndrome virus in Leptotrombidium (L.) Scutellare].
19976
18 20253
19 20193
20 20232

About Kaijun Jiang

Kaijun Jiang is a scholar working on Infectious Diseases, Epidemiology, Computational Theory and Mathematics, Agronomy and Crop Science and Immunology, having authored 22 papers that have together received 854 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Adaptive Dynamic Programming Control (6 papers), Viral Infections and Vectors (5 papers), Animal Disease Management and Epidemiology (5 papers), Respiratory viral infections research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Reinforcement Learning in Robotics (2 papers) and Optimism, Hope, and Well-being (2 papers). The work is most often cited by research in Infectious Diseases (560 citations), Modeling and Simulation (58 citations), Agronomy and Crop Science (89 citations), Epidemiology (238 citations) and Animal Science and Zoology (60 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, Archives of Virology, Journal of Virology, Journal of Wildlife Diseases and Engineering Applications of Artificial Intelligence.

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.

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