HE Guo-guang

119 total papers · 588 total citations
78 papers, 427 citations indexed

About

HE Guo-guang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, HE Guo-guang has authored 78 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 32 papers in Control and Systems Engineering and 19 papers in Cognitive Neuroscience. Recurrent topics in HE Guo-guang's work include Neural Networks and Applications (23 papers), Neural dynamics and brain function (18 papers) and Chaos control and synchronization (15 papers). HE Guo-guang is often cited by papers focused on Neural Networks and Applications (23 papers), Neural dynamics and brain function (18 papers) and Chaos control and synchronization (15 papers). HE Guo-guang collaborates with scholars based in China, Japan and Denmark. HE Guo-guang's co-authors include Ping Zhu, Kazuyuki Aihara, Hisakazu Ogura, Manish Dev Shrimali, Luonan Chen, Xiufang Chen, Shoufeng Ma, Xiaoping Xie, Yang Li and Ewen Ritchie and has published in prestigious journals such as NeuroImage, Physics Letters A and Neurocomputing.

In The Last Decade

HE Guo-guang

66 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
HE Guo-guang	195	165	121	108	82	78	427
Wei Yu	126 0.6×	146 0.9×	19 0.2×	34 0.3×	32 0.4×	67	405
Fernando Martínez	131 0.7×	58 0.4×	14 0.1×	77 0.7×	85 1.0×	46	433
Madhushi Verma	100 0.5×	48 0.3×	62 0.5×	21 0.2×	120 1.5×	39	434
Boudour Ammar	284 1.5×	66 0.4×	48 0.4×	72 0.7×	121 1.5×	33	474
Bin Liu	98 0.5×	90 0.5×	8 0.1×	32 0.3×	97 1.2×	60	433
Cong Tang	93 0.5×	20 0.1×	117 1.0×	13 0.1×	71 0.9×	39	430
Chen Tian-Lun	132 0.7×	177 1.1×	63 0.5×	46 0.4×	83 1.0×	55	395
Mohammad Reza Jahed Motlagh	67 0.3×	85 0.5×	17 0.1×	161 1.5×	98 1.2×	64	446
Mengran Xue	48 0.2×	90 0.5×	15 0.1×	74 0.7×	227 2.8×	55	409
Xin Shi	56 0.3×	36 0.2×	24 0.2×	60 0.6×	24 0.3×	52	434

Countries citing papers authored by HE Guo-guang

Since Specialization

Citations

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

Fields of papers citing papers by HE Guo-guang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by HE Guo-guang. 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 HE Guo-guang. The network helps show where HE Guo-guang may publish in the future.

Co-authorship network of co-authors of HE Guo-guang

This figure shows the co-authorship network connecting the top 25 collaborators of HE Guo-guang. A scholar is included among the top collaborators of HE Guo-guang 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 HE Guo-guang. HE Guo-guang 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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