Fen Yang

539 citations
21 papers · 366 · h-index 8

Impact in

Papers in

Fen Yang

20 papers receiving 366 citations

Peers

Fen Yang
Comparison fields: 5 of 65
  • Infectious Diseases 184
  • Modeling and Simulation 43
  • Epidemiology 184
  • Cardiology and Cardiovascular Medicine 67
  • Agronomy and Crop Science 29
Replace Massab Umair with:
Massab Umair Pakistan
Aripuanã Sakurada Aranha Watanabe Brazil
Huanyu Wu China
Alan Schnur Australia
Zeyu Zhao China
I. Nyoman Kandun Indonesia
Ziping Miao China
Mahesh Moorthy India
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Fen Yang relative to Massab Umair Pakistan Massab Umair's profile →
Citations per field
00.5×4.8×
Massab Umair · 1×
Citations per year

Countries citing papers authored by Fen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013128
2 201655
3 200952
4 201451
5 202016
6 202215
7 20138
8
[Epidemiological analysis of imported cases of dengue fever in Guangdong province and Hong Kong during 2004-2006 in China].
20097
9 20245
10 20245
11 20184
12 20184
13
[Study on the characteristics and risk factors for hand-foot-mouth disease in Guangdong province].
20094
14 20173
15 20242
16 20222
17 20242
18 20251
19 20241
20 20181

About Fen Yang

Fen Yang is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), Animal Disease Management and Epidemiology (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Respiratory viral infections research (4 papers), Viral Infections and Vectors (3 papers), Mosquito-borne diseases and control (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (184 citations), Modeling and Simulation (43 citations), Epidemiology (184 citations), Cardiology and Cardiovascular Medicine (67 citations) and Agronomy and Crop Science (29 citations). Fen Yang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Jianfeng He, Haojie Zhong, Min Kang, Shannon Rutherford, Jinyan Lin, Changwen Ke, Huiqiong Zhou, Jing Lu, Wenjia Liang and Willi McFarland. Their work appears in journals such as Journal of Infection, PLoS ONE, Journal of Hazardous Materials, Infectious Diseases and Therapy and Annals of Epidemiology.

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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