Xiaojun Liu

116 total papers · 710 total citations
60 papers, 510 citations indexed

About

Xiaojun Liu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaojun Liu has authored 60 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistical and Nonlinear Physics, 23 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaojun Liu's work include Nonlinear Dynamics and Pattern Formation (22 papers), Chaos control and synchronization (20 papers) and Neural Networks Stability and Synchronization (11 papers). Xiaojun Liu is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (22 papers), Chaos control and synchronization (20 papers) and Neural Networks Stability and Synchronization (11 papers). Xiaojun Liu collaborates with scholars based in China, United States and United Kingdom. Xiaojun Liu's co-authors include Lixin Yang, Ling Hong, Jun Jiang, Xianfeng Li, Chi-Sing Leung, Yan-Dong Chu, Xiuping Han, Guangming Zhang, Yuhong Xiong and James R. Lundblad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Xiaojun Liu

55 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Xiaojun Liu	245	201	73	73	64	60	510
Yue Yu	256 1.0×	192 1.0×	55 0.8×	50 0.7×	21 0.3×	48	535
Henryk Fukś	74 0.3×	86 0.4×	90 1.2×	26 0.4×	39 0.6×	39	477
Mohammed-Salah Abdelouahab	242 1.0×	180 0.9×	47 0.6×	91 1.2×	176 2.8×	28	488
Charles Pezeshki	275 1.1×	168 0.8×	121 1.7×	29 0.4×	16 0.3×	37	576
Israr Ahmad	368 1.5×	311 1.5×	59 0.8×	29 0.4×	158 2.5×	61	612
Andrew Allison	140 0.6×	69 0.3×	33 0.5×	39 0.5×	19 0.3×	55	481
Piyush Pratap Singh	341 1.4×	252 1.3×	63 0.9×	74 1.0×	17 0.3×	70	476
Zhe Zhang	119 0.5×	98 0.5×	142 1.9×	32 0.4×	128 2.0×	71	546
Nian Wang	124 0.5×	92 0.5×	33 0.5×	69 0.9×	42 0.7×	39	478
Dongshu Wang	219 0.9×	349 1.7×	48 0.7×	111 1.5×	32 0.5×	35	499

Countries citing papers authored by Xiaojun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Liu

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