Xiaoqi Wang

402 citations
23 papers · 257 indexed · h-index 11
Topics
Computational Drug Discovery Methods (6 papers)Genomics and Phylogenetic Studies (5 papers)Bioinformatics and Genomic Networks (4 papers)

In The Last Decade

Xiaoqi Wang

23 papers receiving 254 citations

Peers

Xiaoqi Wang
Comparison fields: 5 of 88
  • Molecular Biology 171
  • Computational Theory and Mathematics 88
  • Artificial Intelligence 33
  • Ecology 30
  • Materials Chemistry 29
Replace Darby Tien-Hao Chang with:
Darby Tien-Hao Chang Taiwan
Gustavo E. Vázquez Argentina
Jean-Pierre A. Kocher United States
Cheng-Yan Kao Taiwan
Xinhao Li China
S. S. Sheik India
Guofei Ren China
Sébastien Géhant Switzerland
Xiaoqi Wang relative to Darby Tien-Hao Chang Taiwan Darby Tien-Hao Chang's profile →
Citations per field
00.5×11.3×
Darby Tien-Hao Chang · 1×
Citations per year

Countries citing papers authored by Xiaoqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqi Wang. A scholar is included among the top collaborators of Xiaoqi Wang 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 Xiaoqi Wang. Xiaoqi Wang 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 2
2 12
3 3
4 2
5 4
6 14
7 2
8 3
9 12
10 35
11 2
12 17
13 4
14 5
15 31
16 19
17 19
18 6
19 4
20
Evaluation of Impact of Pollen Grains from Bt, Bt/CpTI Transgenic Cotton and Bt Corn Plants on the Growth and Development of the Mulberry Silkworm, Bombyx mori Linnaeus (Lepidoptera: Bombycidae)
7

About Xiaoqi Wang

Xiaoqi Wang is a scholar working on Computational Theory and Mathematics, Biophysics and Molecular Biology, having authored 23 papers that have together received 257 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Genomics and Phylogenetic Studies (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Computational Theory and Mathematics (88 citations), Molecular Biology (171 citations) and Ecology (30 citations). Xiaoqi Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shaoliang Peng, Huaiqiu Zhu, Guijun Zhang, Xiaogen Zhou, Jiangtao Guo, Kenli Li, Liping Duan, Binbin Lai, Weihong Tan and Xiaochen Bo. Their work appears in journals such as Bioinformatics, Sensors and BMC Bioinformatics.

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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