Heyi Huang

22 total papers · 1.1k total citations
18 papers, 855 citations indexed

About

Heyi Huang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Heyi Huang has authored 18 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Heyi Huang's work include Advanced Memory and Neural Computing (13 papers), Neural Networks and Reservoir Computing (4 papers) and Neuroscience and Neural Engineering (4 papers). Heyi Huang is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Neural Networks and Reservoir Computing (4 papers) and Neuroscience and Neural Engineering (4 papers). Heyi Huang collaborates with scholars based in China, United Kingdom and Belgium. Heyi Huang's co-authors include Chen Ge, Kuijuan Jin, Guozhen Yang, Can Wang, Jianyu Du, Meng He, Jingting Yang, Hui‐bin Lu, Qinghua Zhang and Lin Gu and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Heyi Huang

18 papers receiving 847 citations

Hit Papers

Artificial Synapses Emula... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Heyi Huang 729 304 215 195 104 18 855
Donggang Xie 593 0.8× 160 0.5× 186 0.9× 228 1.2× 132 1.3× 15 778
Beom Jin Kim 716 1.0× 262 0.9× 152 0.7× 231 1.2× 179 1.7× 17 965
Sung Woon Cho 892 1.2× 311 1.0× 203 0.9× 323 1.7× 161 1.5× 44 1.0k
Jing Yang 901 1.2× 272 0.9× 181 0.8× 241 1.2× 153 1.5× 32 1.0k
Ye Tao 612 0.8× 233 0.8× 204 0.9× 145 0.7× 69 0.7× 51 732
Sha Nie 721 1.0× 322 1.1× 175 0.8× 209 1.1× 143 1.4× 18 843
Yang Ming Fu 747 1.0× 367 1.2× 208 1.0× 140 0.7× 75 0.7× 21 919
Seonghoon Jang 850 1.2× 400 1.3× 263 1.2× 175 0.9× 120 1.2× 20 948
Minhwan Lee 648 0.9× 170 0.6× 175 0.8× 220 1.1× 88 0.8× 32 909
Huiwu Mao 762 1.0× 316 1.0× 203 0.9× 224 1.1× 116 1.1× 34 881

Countries citing papers authored by Heyi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Heyi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heyi Huang

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