Hui Jiang

113 papers receiving 2.6k citations

Peers

Hui Jiang
Comparison fields: 5 of 150
  • Research and Theory 63
  • Modeling and Simulation 184
  • Emergency Medicine 301
  • General Health Professions 766
  • Infectious Diseases 547
Replace Laura Sticchi with:
Laura Sticchi Italy
Sanjay Zodpey India
Eric Goosby United States
Stephen M. Davis United States
Jonathan L. Temte United States
Kefyalew Addis Alene Australia
Courtney A. Gidengil United States
Olufemi T. Oladapo Switzerland
Bethany Hedt‐Gauthier United States
Mary Patricia Nowalk United States
Hui Jiang relative to Laura Sticchi Italy Laura Sticchi's profile →
Citations per field
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Laura Sticchi · 1×
Citations per year

Countries citing papers authored by Hui Jiang

Since Specialization
Citations

This map shows the geographic impact of Hui 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 Hui Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Jiang more than expected).

Fields of papers citing papers by Hui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui 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 Hui Jiang. The network helps show where Hui Jiang may publish in the future.

Co-authors

The 25 scholars most cited alongside Hui 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 Hui Jiang Line = papers co-authored together Hui Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202315
2 20210
3 202116
4 20204
5 20197
6 20191
7 20192
8 201820
9 20182
10
[Clinical characteristics of adult influenza inpatients in ten provinces in China and analysis of severe risk factors].
20152
11
[Clinical characteristics of hospitalized severe acute respiratory illnesses (SARI) in children and risk factors analysis of severe illness: results from SARI patients under 15-year-old of sentinel surveillance in 10 cities, China].
20151
12 20151
13 201435
14 201310
15 200936
16 20083
17 200743
18 20077
19 200628
20 200320

About Hui Jiang

Hui Jiang is a scholar working on Research and Theory, Modeling and Simulation, Infectious Diseases, Leadership and Management and General Health Professions, having authored 121 papers that have together received 2.7k indexed citations. Recurring topics across this work include Healthcare Policy and Management (32 papers), Influenza Virus Research Studies (18 papers), Tuberculosis Research and Epidemiology (18 papers), Primary Care and Health Outcomes (14 papers), COVID-19 epidemiological studies (12 papers), Geriatric Care and Nursing Homes (11 papers), Viral Infections and Vectors (8 papers) and Respiratory viral infections research (8 papers). The work is most often cited by research in Research and Theory (63 citations), Modeling and Simulation (184 citations), Emergency Medicine (301 citations), General Health Professions (766 citations) and Infectious Diseases (547 citations). Hui Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bernard Friedman, Daniel Stryer, Roxanne M Andrews, Marguerite L Barrett, Claudia Steiner, Irene Fraser, Hongjie Yu, Anika L Hines, Jeffrey A. Alexander and Larry R. Hearld. Their work appears in journals such as BMC Infectious Diseases, JAMA Network Open, Health Services Research, Infectious Diseases of Poverty and Emerging infectious diseases.

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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