Xiaofan Wu

429 citations
19 papers · 248 indexed · 1 hit paper · h-index 7
Topics
Outsourcing and Supply Chain Management (2 papers)Acute Myocardial Infarction Research (2 papers)Energy, Environment, Economic Growth (1 paper)

In The Last Decade

Xiaofan Wu

17 papers receiving 237 citations

Hit Papers

Developing AI Literacy for Primary and Middle School Teac...20222026202320242022255075

Peers

Xiaofan Wu
Comparison fields: 5 of 91
  • Computer Science Applications 65
  • Education 32
  • Molecular Biology 31
  • Immunology 31
  • Cardiology and Cardiovascular Medicine 27
Replace Daniel Nguyen with:
Daniel Nguyen United States
Lucy MacDonald United Kingdom
Xinlan Liu China
Arun Kalyanasundaram United States
Rudolf Sträßer Germany
Jean S. Lee United States
Rajendra Gharbaran United States
Miner Yuan China
David M. Zahrieh United States
Christopher Rushton Canada
Xiaofan Wu relative to Daniel Nguyen United States Daniel Nguyen's profile →
Citations per field
00.5×9.3×
Daniel Nguyen · 1×
Citations per year

Countries citing papers authored by Xiaofan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofan Wu

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 4
3 5
4 1
5 2
6 0
7 32
8 24
9 1
10 7
11 6
12 50
13
Developing AI Literacy for Primary and Middle School Teachers in China: Based on a Structural Equation Modeling Analysisbreakdown →
95
14 1
15 0
16 14
17 2
18
Investigation of AESA Radar Signal Description and Database Design
2
19
Research on robust PID Control Algorithm in Polypropylene Reaction Process
1

About Xiaofan Wu

Xiaofan Wu is a scholar working on Management Information Systems, Computer Science Applications and Transportation, having authored 19 papers that have together received 248 indexed citations. Recurring topics across this work include Outsourcing and Supply Chain Management (2 papers), Acute Myocardial Infarction Research (2 papers) and Energy, Environment, Economic Growth (1 paper). The work is most often cited by research in Computer Science Applications (65 citations), Health Informatics (16 citations) and Safety Research (19 citations). Xiaofan Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Heng Luo, Leilei Zhao, Jiang‐Jiang Qin, Xingfei Yu, Hongjian Yang, Yue Wang, Qian Fan, Oleg Tchernyshyov, Yue Wang and Shen Wang. Their work appears in journals such as Sustainability, International Journal of Production Research and Frontiers in Pharmacology.

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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