Wen Xiao

539 citations
26 papers · 378 indexed · h-index 10
Topics
Online Learning and Analytics (7 papers)Aquaculture disease management and microbiota (4 papers)Computational Drug Discovery Methods (3 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Wen Xiao

23 papers receiving 363 citations

Peers

Wen Xiao
Comparison fields: 5 of 99
  • Computational Theory and Mathematics 124
  • Molecular Biology 115
  • Immunology 63
  • Computer Science Applications 59
  • Artificial Intelligence 50
Replace Ricardo Arcila with:
Ricardo Arcila United Kingdom
Jeyakumar Natarajan India
Andrew M. Lynn India
Daniel Tang United States
Elizabeth Durham United States
Yajie Meng China
Zhuolun Li China
Raquel C. de Melo-Minardi Brazil
Suping Jiang China
Qiwen Dong China
Wen Xiao relative to Ricardo Arcila United Kingdom Ricardo Arcila's profile →
Citations per field
00.5×7.4×
Ricardo Arcila · 1×
Citations per year

Countries citing papers authored by Wen Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Wen Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Xiao. A scholar is included among the top collaborators of Wen Xiao 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 Wen Xiao. Wen Xiao 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 5
2 3
3 0
4 2
5 3
6 6
7 6
8 6
9 42
10 9
11 9
12 2
13 22
14 19
15 8
16 15
17 17
18 1
19 19
20
Determination of dihydroartemisinin of compound dihydroartemisinin tablets by tri - wavelength spectrophotosmetry
1

About Wen Xiao

Wen Xiao is a scholar working on Computer Science Applications, Health Information Management and Parasitology, having authored 26 papers that have together received 378 indexed citations. Recurring topics across this work include Online Learning and Analytics (7 papers), Aquaculture disease management and microbiota (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Computer Science Applications (59 citations), Computational Theory and Mathematics (124 citations) and Immunology (63 citations). Wen Xiao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yun Tang, Guixia Liu, Weihua Li, Guanglin Kuang, Guoping Hu, Shuangquan Zhang, Yadi Zhou, Philip W. Lee, Yue Yu and Xianwei Cui. Their work appears in journals such as IEEE Access, Sustainability and Journal of Chemical Information and Modeling.

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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