S. G. Hu

47 total papers · 1.1k total citations
34 papers, 885 citations indexed

About

S. G. Hu is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, S. G. Hu has authored 34 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 11 papers in Cognitive Neuroscience and 9 papers in Artificial Intelligence. Recurrent topics in S. G. Hu's work include Advanced Memory and Neural Computing (26 papers), Neural dynamics and brain function (9 papers) and CCD and CMOS Imaging Sensors (9 papers). S. G. Hu is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), Neural dynamics and brain function (9 papers) and CCD and CMOS Imaging Sensors (9 papers). S. G. Hu collaborates with scholars based in China, Singapore and Japan. S. G. Hu's co-authors include T. P. Chen, Yang Liu, Qi Yu, Sumio Hosaka, You Yin, L. J. Deng, Junjie Wang, Pooi See Lee, P. Liu and Qiuping Zhang and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

S. G. Hu

30 papers receiving 863 citations

Author Peers

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

Author						Papers	Cites
S. G. Hu	775	362	218	204	133	34	885
Abhinav Parihar	551 0.7×	175 0.5×	145 0.7×	271 1.3×	175 1.3×	21	907
Roberto Carboni	947 1.2×	434 1.2×	242 1.1×	145 0.7×	91 0.7×	16	999
Jinsong Wei	694 0.9×	359 1.0×	237 1.1×	120 0.6×	72 0.5×	23	742
Andreas Wild	862 1.1×	133 0.4×	218 1.0×	244 1.2×	167 1.3×	30	1.0k
L. J. Deng	602 0.8×	282 0.8×	133 0.6×	119 0.6×	92 0.7×	35	915
Xinxin Wang	737 1.0×	253 0.7×	244 1.1×	242 1.2×	69 0.5×	12	851
Ziwen Wang	761 1.0×	264 0.7×	192 0.9×	87 0.4×	161 1.2×	42	951
Radu Berdan	893 1.2×	417 1.2×	206 0.9×	102 0.5×	106 0.8×	23	928
Jose Cruz-Albrecht	1.0k 1.3×	515 1.4×	307 1.4×	156 0.8×	93 0.7×	10	1.0k
Jean Tomas	841 1.1×	370 1.0×	275 1.3×	133 0.7×	83 0.6×	37	942

Countries citing papers authored by S. G. Hu

Since Specialization

Citations

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

Fields of papers citing papers by S. G. Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. G. Hu. 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 S. G. Hu. The network helps show where S. G. Hu may publish in the future.

Co-authorship network of co-authors of S. G. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of S. G. Hu. A scholar is included among the top collaborators of S. G. Hu 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 S. G. Hu. S. G. Hu 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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