Guoxi Ni

92 total papers · 657 total citations
66 papers, 451 citations indexed

About

Guoxi Ni is a scholar working on Computational Mechanics, Applied Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guoxi Ni has authored 66 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Mechanics, 34 papers in Applied Mathematics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guoxi Ni's work include Computational Fluid Dynamics and Aerodynamics (34 papers), Gas Dynamics and Kinetic Theory (23 papers) and Image and Signal Denoising Methods (12 papers). Guoxi Ni is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (34 papers), Gas Dynamics and Kinetic Theory (23 papers) and Image and Signal Denoising Methods (12 papers). Guoxi Ni collaborates with scholars based in China, Hong Kong and United States. Guoxi Ni's co-authors include Song Jiang, Jishan Fan, Wenjun Sun, Tieyong Zeng, Kun Xu, Jingjing Liu, Fei Jiang, Heung Wong, S. L. Ho and Shiyou Yang and has published in prestigious journals such as Journal of Computational Physics, Physics of Fluids and Journal of Mathematical Analysis and Applications.

In The Last Decade

Guoxi Ni

54 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Guoxi Ni	282	257	92	78	37	66	451
Götz E. Pfander	201 0.7×	311 1.2×	66 0.7×	218 2.8×	21 0.6×	59	520
Hui Feng	245 0.9×	94 0.4×	28 0.3×	37 0.5×	9 0.2×	44	418
Yi Shen	285 1.0×	84 0.3×	14 0.2×	144 1.8×	20 0.5×	55	545
Gang-Joon Yoon	95 0.3×	144 0.6×	45 0.5×	145 1.9×	5 0.1×	54	412
Jin Huang	97 0.3×	104 0.4×	33 0.4×	74 0.9×	11 0.3×	102	539
Chang‐Yeol Jung	261 0.9×	128 0.5×	37 0.4×	22 0.3×	28 0.8×	64	521
Wengu Chen	180 0.6×	203 0.8×	200 2.2×	83 1.1×	23 0.6×	60	442
Quôc Thông Lê Gia	197 0.7×	108 0.4×	102 1.1×	49 0.6×	16 0.4×	55	534
Jiebao Sun	71 0.3×	85 0.3×	52 0.6×	198 2.5×	28 0.8×	45	410
Kurt Jetter	223 0.8×	156 0.6×	57 0.6×	73 0.9×	13 0.4×	34	439

Countries citing papers authored by Guoxi Ni

Since Specialization

Citations

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

Fields of papers citing papers by Guoxi Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxi Ni

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