Jun Zhou

122 papers receiving 1.4k citations

Peers

Jun Zhou
Comparison fields: 5 of 121
  • Cognitive Neuroscience 469
  • Human-Computer Interaction 81
  • Computer Vision and Pattern Recognition 242
  • Signal Processing 117
  • Cellular and Molecular Neuroscience 192
Replace Amit M. Joshi with:
Amit M. Joshi India
Qiang Fang Australia
Zhi Yang China
Zhizeng Luo China
Cosimo Ieracitano Italy
Dwaipayan Biswas Belgium
Amit Acharyya India
Qiang Gao China
Luigi Raffo Italy
Sugata Munshi India
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 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019238
2 201999
3 202193
4 202090
5 202174
6 202073
7 201972
8 202144
9 202134
10 202229
11 201228
12 202327
13 202025
14 202223
15 202321
16 201720
17 202119
18 202317
19 201217
20 202117

About Jun Zhou

Jun Zhou is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology, Signal Processing and Developmental Biology, having authored 137 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), ECG Monitoring and Analysis (19 papers), EEG and Brain-Computer Interfaces (18 papers), Advanced Neural Network Applications (14 papers), Advanced Image and Video Retrieval Techniques (11 papers), CCD and CMOS Imaging Sensors (9 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Cognitive Neuroscience (469 citations), Human-Computer Interaction (81 citations), Computer Vision and Pattern Recognition (242 citations), Signal Processing (117 citations) and Cellular and Molecular Neuroscience (192 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, Shuisheng Lin and Sixu Li. Their work appears in journals such as IEEE Sensors Journal, Sensors, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Circuits and Systems I Regular Papers 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.

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