Wu Fan

829 total citations
11 papers, 35 citations indexed

About

Wu Fan is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Wu Fan has authored 11 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Computational Theory and Mathematics and 2 papers in Information Systems. Recurrent topics in Wu Fan's work include Advanced Mathematical Modeling in Engineering (3 papers), IoT and Edge/Fog Computing (2 papers) and Solidification and crystal growth phenomena (2 papers). Wu Fan is often cited by papers focused on Advanced Mathematical Modeling in Engineering (3 papers), IoT and Edge/Fog Computing (2 papers) and Solidification and crystal growth phenomena (2 papers). Wu Fan collaborates with scholars based in China. Wu Fan's co-authors include Arokiasamy Perianayagam, Somnath Chatterji, Sharon Williams, Paul Kowal, Yanzan Sun, Yongli Zhao, Gengping Zhu, Shugong Xu, Shunqing Zhang and Xiaojing Chen and has published in prestigious journals such as IEEE Access, Sensors and Bulletin of Entomological Research.

In The Last Decade

Wu Fan

7 papers receiving 34 citations

Peers

Wu Fan
Comparison fields: 5 of 36
  • Computer Networks and Communications 7
  • General Health Professions 7
  • Health 6
  • Aerospace Engineering 6
  • Insect Science 6
Replace C. Hayes with:
C. Hayes United States
J. Lange Germany
Bushra Alghamdi Saudi Arabia
Y. T. Xu China
Scott M. Hull United States
J. R. Bogart United States
K. Foraz Switzerland
P. Ninin Switzerland
Q. Hu China
M. Chin United States
C. Hayes United States View profile →
Citations per field, relative to Wu Fan
Wu Fan · 1×
Citations per year, relative to Wu Fan
Wu Fan · 1×

Countries citing papers authored by Wu Fan

Since Specialization
Citations

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

Fields of papers citing papers by Wu Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Fan. A scholar is included among the top collaborators of Wu Fan 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 Wu Fan. Wu Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 5
5 3
6 3
7 2
8 8
9
Aging, Health, and Chronic Conditions in China and India: Results from the Multinational Study on Global AGEing and Adult Health (SAGE)
13
10
Design of Product Structure in ERP for Steel Industry
0
11
ORIENTATIONAL PHASE-TRANSITIONS OF HCP AND CUBIC C-60 SOLIDS
1

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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2026