Bin Zhou

2.6k citations
155 papers · 1.7k · h-index 22

Impact in

Papers in

Bin Zhou

141 papers receiving 1.6k citations

Peers

Bin Zhou
Comparison fields: 5 of 127
  • Automotive Engineering 245
  • Computer Vision and Pattern Recognition 262
  • Organic Chemistry 287
  • Control and Systems Engineering 212
  • Renewable Energy, Sustainability and the Environment 134
Replace Siqi Ma with:
Siqi Ma China
Lin Yang China
Yin Chen China
Yang Song China
Michael Hübner Germany
Xuemin Hu China
Liang Liu China
Mengting Liu China
Sung‐Jin Cho South Korea
Bin Zhou relative to Siqi Ma China Siqi Ma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Bin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin 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 Bin Zhou Line = papers co-authored together Bin Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 2008106
3 201763
4 202158
5 202056
6 201255
7 201846
8 202242
9 202441
10 202241
11 201737
12 202433
13 202132
14 201929
15 202229
16 202028
17 202126
18 201525
19 202024
20 202123

About Bin Zhou

Bin Zhou is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 155 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (23 papers), Autonomous Vehicle Technology and Safety (20 papers), 3D IC and TSV technologies (18 papers), Traffic control and management (12 papers), Advanced Neural Network Applications (11 papers), 3D Shape Modeling and Analysis (10 papers), Robotic Path Planning Algorithms (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Automotive Engineering (245 citations), Computer Vision and Pattern Recognition (262 citations), Organic Chemistry (287 citations), Control and Systems Engineering (212 citations) and Renewable Energy, Sustainability and the Environment (134 citations). Bin Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guizhen Yu, Zhangyu Wang, Peng Chen, Zhenxing Li, Xinkai Wu, Wei Zhu, Yangyang Wen, Guizhen Yu, Yunpeng Wang and Zhiwei Fu. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, The Journal of Organic Chemistry, IEEE Access and IEEE Transactions on Components Packaging and Manufacturing Technology.

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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