Xiaoxia Li

59 total papers · 499 total citations
33 papers, 416 citations indexed

About

Xiaoxia Li is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Xiaoxia Li has authored 33 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Statistical and Nonlinear Physics and 6 papers in Cognitive Neuroscience. Recurrent topics in Xiaoxia Li's work include Neural Networks Stability and Synchronization (6 papers), Chaos control and synchronization (5 papers) and Non-Invasive Vital Sign Monitoring (5 papers). Xiaoxia Li is often cited by papers focused on Neural Networks Stability and Synchronization (6 papers), Chaos control and synchronization (5 papers) and Non-Invasive Vital Sign Monitoring (5 papers). Xiaoxia Li collaborates with scholars based in China, United States and Hong Kong. Xiaoxia Li's co-authors include Chun‐Hui He, Dan Tian, Ji‐Huan He, Gang Li, Ling Lin, Mengjun Wang, Qiang Zhang, Hongbin Zhu, Qunxiang Li and Weiyi Wang and has published in prestigious journals such as Physical Review Letters, Electrochimica Acta and Review of Scientific Instruments.

In The Last Decade

Xiaoxia Li

32 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoxia Li 115 107 101 75 53 33 416
Toshio Utsunomiya 169 1.5× 20 0.2× 91 0.9× 60 0.8× 11 0.2× 28 473
Andrew J. Meade 211 1.8× 85 0.8× 101 1.0× 36 0.5× 9 0.2× 31 494
Christina Schenk 190 1.7× 11 0.1× 63 0.6× 20 0.3× 14 0.3× 18 419
Yaoyu Zhang 115 1.0× 14 0.1× 30 0.3× 16 0.2× 14 0.3× 49 451
Hui Yin 34 0.3× 19 0.2× 69 0.7× 36 0.5× 2 0.0× 40 484
Min Huang 5 0.0× 43 0.4× 91 0.9× 151 2.0× 11 0.2× 55 431
Mario Annunziato 116 1.0× 94 0.9× 19 0.2× 152 2.0× 9 0.2× 27 493
Michael Hofmann 51 0.4× 48 0.4× 42 0.4× 33 0.4× 5 0.1× 29 391
V. G. Yakhno 35 0.3× 5 0.0× 116 1.1× 231 3.1× 21 0.4× 40 404
Manuel Carretero 104 0.9× 94 0.9× 22 0.2× 60 0.8× 2 0.0× 31 387

Countries citing papers authored by Xiaoxia Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Li. A scholar is included among the top collaborators of Xiaoxia Li 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 Xiaoxia Li. Xiaoxia Li 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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