Лэй Сун

116 total papers · 917 total citations
68 papers, 609 citations indexed

About

Лэй Сун is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Лэй Сун has authored 68 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 19 papers in Control and Systems Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Лэй Сун's work include Face and Expression Recognition (8 papers), Blind Source Separation Techniques (7 papers) and Neural Networks and Applications (7 papers). Лэй Сун is often cited by papers focused on Face and Expression Recognition (8 papers), Blind Source Separation Techniques (7 papers) and Neural Networks and Applications (7 papers). Лэй Сун collaborates with scholars based in China, Singapore and South Korea. Лэй Сун's co-authors include Zhiping Lin, Badong Chen, Wee Ser, Siyuan Peng, Kar‐Ann Toh, Yong Kang, Yu Chen, Peng Li, Haosen Chen and Zhiwei Zhang and has published in prestigious journals such as Nature, IEEE Transactions on Power Electronics and Energy.

In The Last Decade

Лэй Сун

59 papers receiving 587 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Лэй Сун	211	143	133	124	124	68	609
Allan Martins	72 0.3×	119 0.8×	154 1.2×	62 0.5×	102 0.8×	57	532
Pampa Sinha	275 1.3×	88 0.6×	264 2.0×	143 1.2×	319 2.6×	60	688
Mohammad Salman	111 0.5×	162 1.1×	157 1.2×	81 0.7×	86 0.7×	75	555
Aziza I. Hussein	198 0.9×	89 0.6×	95 0.7×	57 0.5×	167 1.3×	75	614
Decai Li	156 0.7×	76 0.5×	50 0.4×	72 0.6×	96 0.8×	49	558
Jan Žídek	240 1.1×	77 0.5×	135 1.0×	31 0.3×	147 1.2×	47	685
Xiaofeng Mao	97 0.5×	48 0.3×	41 0.3×	109 0.9×	193 1.6×	38	680
Yanping Zhu	207 1.0×	108 0.8×	131 1.0×	38 0.3×	107 0.9×	58	517
D. V. Rama Koti Reddy	143 0.7×	61 0.4×	107 0.8×	39 0.3×	52 0.4×	44	558
Xingjian Zhang	134 0.6×	141 1.0×	71 0.5×	16 0.1×	116 0.9×	55	501

Countries citing papers authored by Лэй Сун

Since Specialization

Citations

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

Fields of papers citing papers by Лэй Сун

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Лэй Сун

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