Jun Zhou

2.2k citations
139 papers · 1.6k · 1 hit paper · h-index 19

Impact in

Papers in

Jun Zhou

125 papers receiving 1.5k citations

Jun Zhou's Hit Papers

HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification 2019 · 255 citations
2550+2+4Years since publication50100150200250

Peers

Jun Zhou
Comparison fields: 5 of 121
  • Cognitive Neuroscience 494
  • Human-Computer Interaction 83
  • Cardiology and Cardiovascular Medicine 244
  • Computer Vision and Pattern Recognition 264
  • Cellular and Molecular Neuroscience 191
Replace Amit M. Joshi with:
Amit M. Joshi India
Qiang Fang Australia
Zhi Yang China
Dwaipayan Biswas Belgium
Cosimo Ieracitano Italy
Wai-Chi Fang Taiwan
Humaira Nisar Malaysia
Paolo Crippa Italy
Julius Georgiou Cyprus
Muhammad Ibn Ibrahimy Malaysia
Jun Zhou relative to Amit M. Joshi India Amit M. Joshi's profile →
Citations per field
00.5×1.5×
Amit M. Joshi · 1×
Citations per year

Countries citing papers authored by Jun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Zhou Line = papers co-authored together Jun Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification
Hit paper breakdown →
2019255
2 2019104
3 2021103
4 2020101
5 202077
6 202175
7 201973
8 202149
9 202135
10 202232
11 202331
12 201228
13 202026
14 202225
15 202322
16 202120
17 201720
18 202318
19 202118
20 202217

About Jun Zhou

Jun Zhou is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 139 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), ECG Monitoring and Analysis (19 papers), EEG and Brain-Computer Interfaces (18 papers), Advanced Neural Network Applications (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), CCD and CMOS Imaging Sensors (11 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Cognitive Neuroscience (494 citations), Human-Computer Interaction (83 citations), Cardiology and Cardiovascular Medicine (244 citations), Computer Vision and Pattern Recognition (264 citations) and Cellular and Molecular Neuroscience (191 citations). Jun Zhou has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guanghai Dai, Jiahui Huang, Ning Wang, Liang Chang, Yuxiang Xie, Jianbiao Xiao, Ning Wang, Qingsong Liu, Sixu Li and Shuisheng Lin. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Circuits and Systems I Regular Papers, Sensors, IEEE Transactions on Biomedical Circuits and Systems and IEEE Transactions on Circuits & Systems II Express Briefs.

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.

Explore authors with similar magnitude of impact