An Xiao

25 total papers · 2.0k total citations
10 papers, 516 citations indexed

About

An Xiao is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, An Xiao has authored 10 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in An Xiao's work include Advanced Neural Network Applications (4 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (2 papers). An Xiao is often cited by papers focused on Advanced Neural Network Applications (4 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (2 papers). An Xiao collaborates with scholars based in China, United States and Sweden. An Xiao's co-authors include Jianyang Zeng, Tao Jiang, Fangping Wan, Lixiang Hong, Hanting Chen, Zhenhua Liu, Zhaohui Yang, Yunhe Wang, Dacheng Tao and Xinghao Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and ACM Computing Surveys.

In The Last Decade

An Xiao

9 papers receiving 507 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
An Xiao	255	222	133	115	69	10	516
Nereida Rodríguez-Fernández	126 0.5×	173 0.8×	58 0.4×	50 0.4×	45 0.7×	16	509
Mingming Jiang	190 0.7×	158 0.7×	84 0.6×	48 0.4×	57 0.8×	13	457
Kai Wang	223 0.9×	249 1.1×	222 1.7×	67 0.6×	78 1.1×	21	576
Xuan Li	152 0.6×	121 0.5×	260 2.0×	108 0.9×	49 0.7×	21	553
Stanisław Jastrzȩbski	78 0.3×	92 0.4×	167 1.3×	319 2.8×	60 0.9×	21	518
Zheng Xu	95 0.4×	115 0.5×	210 1.6×	236 2.1×	90 1.3×	19	581
De Huang	246 1.0×	94 0.4×	151 1.1×	172 1.5×	45 0.7×	20	587
Baisen Cong	133 0.5×	134 0.6×	332 2.5×	137 1.2×	51 0.7×	8	609
Jianping Lin	83 0.3×	72 0.3×	242 1.8×	33 0.3×	12 0.2×	19	494
Xianggen Liu	125 0.5×	101 0.5×	65 0.5×	148 1.3×	57 0.8×	20	518

Countries citing papers authored by An Xiao

Since Specialization

Citations

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

Fields of papers citing papers by An Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An Xiao

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

All Works

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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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