Yunxia Feng

541 total citations
21 papers, 264 citations indexed

About

Yunxia Feng is a scholar working on Computer Networks and Communications, Epidemiology and Nephrology. According to data from OpenAlex, Yunxia Feng has authored 21 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Epidemiology and 4 papers in Nephrology. Recurrent topics in Yunxia Feng's work include Mobile Ad Hoc Networks (6 papers), Cooperative Communication and Network Coding (4 papers) and Influenza Virus Research Studies (3 papers). Yunxia Feng is often cited by papers focused on Mobile Ad Hoc Networks (6 papers), Cooperative Communication and Network Coding (4 papers) and Influenza Virus Research Studies (3 papers). Yunxia Feng collaborates with scholars based in China, United States and Switzerland. Yunxia Feng's co-authors include Hongjie Yu, Zijian Feng, Weizhong Yang, Shuo Feng, Yuan Luo, Peng Yang, Anthony W. Mounts, Minglu Li, Shaojie Tang and Jianhui Zhang and has published in prestigious journals such as Emerging infectious diseases, IEEE Transactions on Vehicular Technology and Cancer Letters.

In The Last Decade

Yunxia Feng

19 papers receiving 254 citations

Peers

Yunxia Feng
Comparison fields: 5 of 76
  • Epidemiology 115
  • Modeling and Simulation 70
  • Infectious Diseases 42
  • Computer Networks and Communications 40
  • Pulmonary and Respiratory Medicine 32
Replace Menglu Yu with:
Menglu Yu China
Amporn Atsawarungruangkit United States
Patrik Bächtiger United Kingdom
Lianchun Liang China
Fabián Herrera Argentina
Eren Altun Türkiye
Eugene Elbert United States
Nicholas Wong Singapore
Menglu Yu China View profile →
Citations per field, relative to Yunxia Feng
Yunxia Feng · 1×
Citations per year, relative to Yunxia Feng
Yunxia Feng · 1×

Countries citing papers authored by Yunxia Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yunxia Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunxia Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yunxia Feng. A scholar is included among the top collaborators of Yunxia Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunxia Feng. Yunxia Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 25
4 1
5 8
6
[Effect of triptolide on expressions of Notch receptors and ligands in rats with adjuvant- induced arthritis and reduced pulmonary function].
3
7 14
8 31
9 45
10 12
11
Energy-efficient lossy data aggregation in wireless sensor networks
5
12 56
13 10
14
[Influential factors of Hardy-Weinberg equilibrium on the study of association between gene polymorphism and disease].
1
15 5
16 8
17 3
18 0
19 1
20 14

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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