Xixi Feng

1.4k citations
32 papers · 623 indexed · h-index 14
Topics
Signaling Pathways in Disease (5 papers)Advanced oxidation water treatment (4 papers)Air Quality and Health Impacts (3 papers)
Partner nations
ChinaGermanyHong Kong

In The Last Decade

Xixi Feng

30 papers receiving 613 citations

Peers

Xixi Feng
Comparison fields: 5 of 119
  • Molecular Biology 189
  • Physiology 90
  • Pollution 79
  • Modeling and Simulation 78
  • Health, Toxicology and Mutagenesis 78
Replace Karin van Veldhoven with:
Karin van Veldhoven United Kingdom
Lisa A. DeRoo United States
Natalie Dupré United States
Ya-Li Huang Taiwan
Joanne Kim Canada
Jamaji C. Nwanaji‐Enwerem United States
Nuno Santos Leal United Kingdom
Diana A. van der Plaat Netherlands
Christopher F. Rider Canada
Yizhou Yu United Kingdom
Xixi Feng relative to Karin van Veldhoven United Kingdom Karin van Veldhoven's profile →
Citations per field
00.5×1.5×1.8×
Karin van Veldhoven · 1×
Citations per year

Countries citing papers authored by Xixi Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xixi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xixi Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xixi Feng. A scholar is included among the top collaborators of Xixi 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 Xixi Feng. Xixi 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
#WorkIndexed citations
1 0
2 1
3 13
4 2
5 6
6 4
7 1
8 1
9 10
10 1
11 50
12 1
13 1
14 57
15 121
16 33
17 29
18
Simulation of HIV/AIDS distribution using GIS based cellular automata model
1
19 19
20 63

About Xixi Feng

Xixi Feng is a scholar working on Modeling and Simulation, Behavioral Neuroscience and Speech and Hearing, having authored 32 papers that have together received 623 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Advanced oxidation water treatment (4 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Modeling and Simulation (78 citations), Behavioral Neuroscience (37 citations) and Pollution (79 citations). Xixi Feng has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Felix Hausch, Claudia Sippel, Andreas Bracher, Shu Yang, Ang Sun, Pan Mao, Mingshi Wang, Maria Maiarù, Sandrine M. Géranton and Christopher G. Bell. Their work appears in journals such as Nucleic Acids Research, The Science of The Total Environment and Journal of Hazardous Materials.

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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