Hongyu Su

81 total papers · 482 total citations
27 papers, 307 citations indexed

About

Hongyu Su is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hongyu Su has authored 27 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 8 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Hongyu Su's work include Microgrid Control and Optimization (5 papers), Text and Document Classification Technologies (3 papers) and Advanced Graph Neural Networks (3 papers). Hongyu Su is often cited by papers focused on Microgrid Control and Optimization (5 papers), Text and Document Classification Technologies (3 papers) and Advanced Graph Neural Networks (3 papers). Hongyu Su collaborates with scholars based in China, Finland and United States. Hongyu Su's co-authors include Rongjin Huang, Huali Chen, Chen Lv, Juho Rousu, Ximena Barros-Álvarez, Ji-Lu Zheng, Justin Meyerowitz, Frank E. Kwarcinski, Robert M. Nwokonko and Feng He and has published in prestigious journals such as Nature, Renewable and Sustainable Energy Reviews and IEEE Transactions on Industrial Electronics.

In The Last Decade

Hongyu Su

21 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
Hongyu Su	83	65	49	39	29	27	307
Qianxin Liang	83 1.0×	21 0.3×	10 0.2×	15 0.4×	2 0.1×	15	346
Shengxu Wang	50 0.6×	73 1.1×	13 0.3×	2 0.1×	11 0.4×	34	360
Xin Li	12 0.1×	77 1.2×	33 0.7×	5 0.1×	15 0.5×	36	305
M. E. Paramasivam	56 0.7×	66 1.0×	2 0.0×	11 0.3×	16 0.6×	27	359
Steve C. Chiu	26 0.3×	45 0.7×	37 0.8×	4 0.1×	31 1.1×	47	319
Azeem Sarwar	30 0.4×	52 0.8×	35 0.7×	3 0.1×	6 0.2×	22	360
Andy Zhang	75 0.9×	42 0.6×	16 0.3×	2 0.1×	14 0.5×	58	273
Sheng Miao	33 0.4×	40 0.6×	10 0.2×	10 0.3×	4 0.1×	19	262
Yusheng Yang	36 0.4×	43 0.7×	84 1.7×	2 0.1×	7 0.2×	24	294
Tomasz G. Smolinski	28 0.3×	42 0.6×	4 0.1×	5 0.1×	29 1.0×	53	297

Countries citing papers authored by Hongyu Su

Since Specialization

Citations

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

Fields of papers citing papers by Hongyu Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyu Su

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