Huihui Zhou

816 total citations · 2 hit papers
17 papers, 446 citations indexed

About

Huihui Zhou is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Huihui Zhou has authored 17 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 6 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Huihui Zhou's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (6 papers) and Visual perception and processing mechanisms (4 papers). Huihui Zhou is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (6 papers) and Visual perception and processing mechanisms (4 papers). Huihui Zhou collaborates with scholars based in China, United States and Taiwan. Huihui Zhou's co-authors include Jiayao Sun, Jin Xie, J. X. Zhang, Guanglin Li, Yang Zhan, Yonghong Tian, Liwei Huang, Timothée Masquelier, Wei Fang and Jianhao Ding and has published in prestigious journals such as Science Advances, Cell Reports and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Huihui Zhou

12 papers receiving 440 citations

Hit Papers

A Transformer-Based Approach Combining Deep Learning Netw... 2022 2026 2023 2024 2022 2023 50 100 150

Peers

Huihui Zhou
Comparison fields: 5 of 69
  • Cognitive Neuroscience 286
  • Electrical and Electronic Engineering 199
  • Artificial Intelligence 112
  • Cellular and Molecular Neuroscience 64
  • Signal Processing 46
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Harsh Gupta India View profile →
Citations per field, relative to Huihui Zhou
Huihui Zhou · 1×
Citations per year, relative to Huihui Zhou
Huihui Zhou · 1×

Countries citing papers authored by Huihui Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Huihui Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huihui Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Huihui Zhou. A scholar is included among the top collaborators of Huihui Zhou 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 Huihui Zhou. Huihui Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 1
5 3
6 8
7 0
8 3
9 0
10 9
11 0
12
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence breakdown →
159
13 2
14 9
15 23
16
A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification breakdown →
172
17 54

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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