Fei Huang
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 37
- Finance top 5%
- Healthcare Systems and Reforms 15
- Epidemiology top 5%
- Mycobacterium research and diagnosis 10
- Pneumocystis jirovecii pneumonia detection and treatment 9
- Pneumonia and Respiratory Infections 9
- Family Practice top 10%
- Modeling and Simulation top 5%
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- Diagnosis and treatment of tuberculosis 10
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- Global Maternal and Child Health 9
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- Peer-to-Peer Network Technologies 4
- Co-authors
- Henry C. LucasYanlin ZhaoLixia WangShiming ChengShiwen JiangXiaoqiu LiuGuangxue HeShengfen Wang
- Journals
- The Lancet (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fei Huang
77 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Infectious Diseases 796
- Finance 192
- Epidemiology 610
- Family Practice 33
- Modeling and Simulation 51
Countries citing papers authored by Fei Huang
This map shows the geographic impact of Fei Huang'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 Fei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Huang more than expected).
Fields of papers citing papers by Fei Huang
This network shows the impact of papers produced by Fei Huang. 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 Fei Huang. The network helps show where Fei Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fei Huang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2022 | 40 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 18 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 20 | |
| 16 | 2016 | 29 | |
| 17 | Tuberculosis prevalence in China, 1990–2010; a longitudinal analysis of national survey databreakdown → | 2014 | 407 |
| 18 | [Spatial analysis on new smear-positive pulmonary tuberculosis in China, 2003 - 2008]. | 2010 | 1 |
| 19 | 2010 | 47 | |
| 20 | 2010 | 16 |
About Fei Huang
Fei Huang is a scholar working on Infectious Diseases, Family Practice and Finance, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (37 papers), Healthcare Systems and Reforms (15 papers), Mycobacterium research and diagnosis (10 papers), Diagnosis and treatment of tuberculosis (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers), Pneumonia and Respiratory Infections (9 papers), Global Maternal and Child Health (9 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Infectious Diseases (796 citations), Finance (192 citations) and Epidemiology (610 citations). Fei Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Henry C. Lucas, Yanlin Zhao, Lixia Wang, Shiming Cheng, Shiwen Jiang, Xiaoqiu Liu, Guangxue He, Shengfen Wang, Xin Du and Wei Chen. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.