Xuan Xiao

3.2k total citations
116 papers, 2.3k citations indexed

About

Xuan Xiao is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Xuan Xiao has authored 116 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 15 papers in Artificial Intelligence and 14 papers in Computational Theory and Mathematics. Recurrent topics in Xuan Xiao's work include Machine Learning in Bioinformatics (41 papers), RNA and protein synthesis mechanisms (19 papers) and Genomics and Phylogenetic Studies (17 papers). Xuan Xiao is often cited by papers focused on Machine Learning in Bioinformatics (41 papers), RNA and protein synthesis mechanisms (19 papers) and Genomics and Phylogenetic Studies (17 papers). Xuan Xiao collaborates with scholars based in China, United States and Saudi Arabia. Xuan Xiao's co-authors include Wang‐Ren Qiu, Zhaochun Xu, Kuo‐Chen Chou, Bi‐Qian Sun, Kuo‐Chen Chou, Wei‐Zhong Lin, Pu Wang, Jianliang Min, Jianhua Jia and Qingmin Liao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Xuan Xiao

111 papers receiving 2.2k citations

Peers

Xuan Xiao
Comparison fields: 5 of 160
  • Molecular Biology 1.5k
  • Computational Theory and Mathematics 262
  • Artificial Intelligence 206
  • Computer Vision and Pattern Recognition 163
  • Cancer Research 113
Replace Giorgio Valentini with:
Giorgio Valentini Italy
Siddharth Goyal United States
Tao Ye China
Yuansheng Liu China
Haichun Liu China
Pooja Yadav India
Chunyu Wang China
Ping Zhong China
Bingding Huang China
Hiroyuki Kurata Japan
Giorgio Valentini Italy View profile →
Citations per field, relative to Xuan Xiao
Xuan Xiao · 1×
Citations per year, relative to Xuan Xiao
Xuan Xiao · 1×

Countries citing papers authored by Xuan Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Xiao. A scholar is included among the top collaborators of Xuan 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 Xuan Xiao. Xuan 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
# Work Indexed citations
1 1
2 0
3 0
4 7
5 7
6 1
7 2
8 4
9 1
10 10
11 9
12 2
13 24
14 8
15 104
16
Preliminary research on chronic liver injury induced by cantharidin
3
17 3
18
Estimation of Spatially Correlated Errors in Vehicular Collaborative Navigation with Shared GNSS and Road-Boundary Measurements
7
19
Subcellular Location Prediction Based on GM(2,1)
2
20
Development of formal models for DNA computing
2

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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