Hongjun Yuan

51 total papers · 443 total citations
35 papers, 294 citations indexed

About

Hongjun Yuan is a scholar working on Applied Mathematics, Mathematical Physics and Control and Systems Engineering. According to data from OpenAlex, Hongjun Yuan has authored 35 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Applied Mathematics, 21 papers in Mathematical Physics and 12 papers in Control and Systems Engineering. Recurrent topics in Hongjun Yuan's work include Navier-Stokes equation solutions (22 papers), Advanced Mathematical Physics Problems (19 papers) and Nonlinear Partial Differential Equations (16 papers). Hongjun Yuan is often cited by papers focused on Navier-Stokes equation solutions (22 papers), Advanced Mathematical Physics Problems (19 papers) and Nonlinear Partial Differential Equations (16 papers). Hongjun Yuan collaborates with scholars based in China, United States and Hong Kong. Hongjun Yuan's co-authors include Xiaojing Xu, Wenjie Gao, Zhidong Guo, Changjia Wang, Zhouping Xin, Li Yin, Junning Zhao, Zhaosheng Feng, Yang Chen and Zan Yang and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Physica A Statistical Mechanics and its Applications and Journal of Differential Equations.

In The Last Decade

Hongjun Yuan

33 papers receiving 276 citations

Author Peers

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

Author						Papers	Cites
Hongjun Yuan	244	128	128	89	50	35	294
Nikolai Kutev	146 0.6×	122 1.0×	107 0.8×	61 0.7×	46 0.9×	45	270
Mihaela Ignatova	197 0.8×	125 1.0×	102 0.8×	113 1.3×	91 1.8×	25	267
James P. Kelliher	247 1.0×	96 0.8×	92 0.7×	59 0.7×	189 3.8×	25	330
Hermenegildo Borges de Oliveira	164 0.7×	102 0.8×	124 1.0×	99 1.1×	58 1.2×	30	230
Ionel Rovenţa	105 0.4×	71 0.6×	123 1.0×	135 1.5×	33 0.7×	38	267
Virginia De Cicco	194 0.8×	102 0.8×	128 1.0×	26 0.3×	28 0.6×	32	248
Bruno Rubino	237 1.0×	165 1.3×	61 0.5×	72 0.8×	92 1.8×	36	357
Inwon C. Kim	189 0.8×	108 0.8×	154 1.2×	52 0.6×	44 0.9×	32	326
Franck Sueur	272 1.1×	120 0.9×	90 0.7×	100 1.1×	167 3.3×	35	346
A. Okay Çelebi	182 0.7×	126 1.0×	136 1.1×	105 1.2×	77 1.5×	37	363

Countries citing papers authored by Hongjun Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Hongjun Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjun Yuan

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