Guanxiang Wang

38 total papers · 608 total citations
23 papers, 417 citations indexed

About

Guanxiang Wang is a scholar working on Computer Networks and Communications, Renewable Energy, Sustainability and the Environment and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guanxiang Wang has authored 23 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Renewable Energy, Sustainability and the Environment and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guanxiang Wang's work include Nonlinear Dynamics and Pattern Formation (6 papers), Advanced Photocatalysis Techniques (6 papers) and stochastic dynamics and bifurcation (4 papers). Guanxiang Wang is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (6 papers), Advanced Photocatalysis Techniques (6 papers) and stochastic dynamics and bifurcation (4 papers). Guanxiang Wang collaborates with scholars based in China, Taiwan and United States. Guanxiang Wang's co-authors include Kwan-Yee Lin, Xiaoyi Wang, Xinmei Liu, Xuejuan Zhang, Yunlong Chen, Min Qian, Miaomiao Liu, Hua Wang, Tao Gu and Maozhu Jin and has published in prestigious journals such as Journal of Alloys and Compounds, Colloids and Surfaces A Physicochemical and Engineering Aspects and Journal of Solid State Chemistry.

In The Last Decade

Guanxiang Wang

21 papers receiving 401 citations

Author Peers

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

Author						Papers	Cites
Guanxiang Wang	156	106	87	82	81	23	417
Shuang Wang	96 0.6×	44 0.4×	21 0.2×	35 0.4×	52 0.6×	33	391
Xiangyue Liu	120 0.8×	41 0.4×	22 0.3×	57 0.7×	77 1.0×	44	487
Chaoqin Huang	209 1.3×	21 0.2×	62 0.7×	45 0.5×	65 0.8×	27	495
Xiangyu Zhao	141 0.9×	9 0.1×	5 0.1×	42 0.5×	55 0.7×	32	399
Wenjun Li	30 0.2×	89 0.8×	5 0.1×	113 1.4×	100 1.2×	46	431
Liang Tian	93 0.6×	18 0.2×	17 0.2×	54 0.7×	23 0.3×	33	464
Hsiau-Hsian Nien	285 1.8×	5 0.0×	10 0.1×	91 1.1×	109 1.3×	22	440
Ting Li	101 0.6×	16 0.2×	36 0.4×	71 0.9×	52 0.6×	36	389
Chen Li	33 0.2×	15 0.1×	8 0.1×	144 1.8×	31 0.4×	26	493
Teresa Laudadio	50 0.3×	17 0.2×	5 0.1×	26 0.3×	13 0.2×	36	402

Countries citing papers authored by Guanxiang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Guanxiang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanxiang Wang

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