Ce Zhou

2.2k citations
35 papers · 1.8k · 1 hit paper · h-index 17

Impact in

Papers in

Ce Zhou

34 papers receiving 1.8k citations

Ce Zhou's Hit Papers

Learning Dynamic Siamese Network for Visual Object Tracking 2017 · 644 citations
6440+3+6Years since publication200400600

Peers

Ce Zhou
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 652
  • Safety, Risk, Reliability and Quality 192
  • Materials Chemistry 604
  • Electronic, Optical and Magnetic Materials 192
  • Electrical and Electronic Engineering 589
Replace Junichi Yamaguchi with:
Junichi Yamaguchi Japan
Yusuke Tajima Japan
Weiping Xie China
David Yang United States
Qiang Wen China
Lili Zheng China
Yonghee Lee South Korea
She Chen China
Can Wang China
Yiqiang Zhao China
Ce Zhou relative to Junichi Yamaguchi Japan Junichi Yamaguchi's profile →
Citations per field
00.5×8.8×
Junichi Yamaguchi · 1×
Citations per year

Countries citing papers authored by Ce Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ce Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Dynamic Siamese Network for Visual Object Tracking
Hit paper breakdown →
2017644
2 2010233
3 2017177
4 201895
5 201690
6 201276
7 202373
8 201140
9 201239
10 201735
11 201925
12 201925
13 202225
14 202122
15 201919
16 201018
17 202216
18 202516
19 202015
20 202015

About Ce Zhou

Ce Zhou is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Biomedical Engineering and Electronic, Optical and Magnetic Materials, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (6 papers), Advancements in Battery Materials (4 papers), Graphene research and applications (4 papers), Molecular Junctions and Nanostructures (4 papers), Video Surveillance and Tracking Methods (4 papers), Supercapacitor Materials and Fabrication (4 papers), Face recognition and analysis (3 papers) and 2D Materials and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (652 citations), Safety, Risk, Reliability and Quality (192 citations), Materials Chemistry (604 citations), Electronic, Optical and Magnetic Materials (192 citations) and Electrical and Electronic Engineering (589 citations). Ce Zhou has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wei Feng, Qing Guo, Liang Wan, Song Wang, Rui Huang, Liangti Qu, Xuejun Xie, Liming Dai, Jia Zhu and Gaoquan Shi. Their work appears in journals such as Carbon, Physical Chemistry Chemical Physics, Advanced Science, Nanotechnology and Advanced Materials.

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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