Hua Su

71 total papers · 476 total citations
41 papers, 329 citations indexed

About

Hua Su is a scholar working on Applied Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Hua Su has authored 41 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Applied Mathematics, 20 papers in Numerical Analysis and 9 papers in Control and Systems Engineering. Recurrent topics in Hua Su's work include Nonlinear Differential Equations Analysis (28 papers), Differential Equations and Numerical Methods (20 papers) and Differential Equations and Boundary Problems (18 papers). Hua Su is often cited by papers focused on Nonlinear Differential Equations Analysis (28 papers), Differential Equations and Numerical Methods (20 papers) and Differential Equations and Boundary Problems (18 papers). Hua Su collaborates with scholars based in China, Australia and France. Hua Su's co-authors include Zhongli Wei, Baohe Wang, Zhi‐Ying Wen, Hui Rao, Jun Wu, Lishan Liu, Jian Liu, Yonghong Wu, Jean‐Claude Paul and De‐Jun Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters A and Journal of Mathematical Analysis and Applications.

In The Last Decade

Hua Su

35 papers receiving 296 citations

Author Peers

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

Author						Papers	Cites
Hua Su	206	115	81	59	51	41	329
Lazhar Bougoffa	122 0.6×	148 1.3×	44 0.5×	31 0.5×	164 3.2×	66	346
D. Sather	111 0.5×	56 0.5×	99 1.2×	36 0.6×	8 0.2×	33	323
Yusif S. Gasimov	73 0.4×	64 0.6×	73 0.9×	16 0.3×	94 1.8×	36	274
Chenghua Gao	249 1.2×	119 1.0×	128 1.6×	30 0.5×	43 0.8×	67	358
Edoardo Mainini	107 0.5×	33 0.3×	70 0.9×	8 0.1×	74 1.5×	27	281
Fuli He	185 0.9×	34 0.3×	37 0.5×	42 0.7×	53 1.0×	38	344
Ghada AlNemer	249 1.2×	45 0.4×	44 0.5×	20 0.3×	127 2.5×	63	323
Ljubica Oparnica	76 0.4×	83 0.7×	36 0.4×	8 0.1×	206 4.0×	21	301
Masakazu Onitsuka	290 1.4×	158 1.4×	52 0.6×	29 0.5×	40 0.8×	51	361
Eugene Stepanov	175 0.8×	29 0.3×	84 1.0×	60 1.0×	7 0.1×	48	317

Countries citing papers authored by Hua Su

Since Specialization

Citations

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

Fields of papers citing papers by Hua Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Su

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