Zhikui Chen

7.5k citations
199 papers · 5.3k indexed · 2 hit papers · h-index 37

Zhikui Chen

187 papers receiving 5.2k citations

Hit Papers

A Survey on Deep Learning for Multimodal Data Fusion4222017202620202023250500750

Peers

Zhikui Chen
Comparison fields: 5 of 162
  • Computational Mathematics 145
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 2.1k
  • Computer Vision and Pattern Recognition 1.3k
  • Information Systems 890
Replace Xiaokang Zhou with:
Xiaokang Zhou Japan
Jianhua Ma Japan
Lina Yao Australia
Xiaowen Chu Hong Kong
Xuyun Zhang China
Lianyong Qi China
Wei Liang China
Guoru Ding China
Wanchun Dou China
Quanming Yao China
Zhikui Chen relative to Xiaokang Zhou Japan Xiaokang Zhou's profile →
Citations per field
00.5×10×15×20×24.0×
Xiaokang Zhou · 1×
Citations per year

Countries citing papers authored by Zhikui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhikui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20245
4 20236
5 20223
6 202119
7 20211
8 20213
9 202031
10 202010
11 20202
12 201943
13 201923
14 201931
15 20187
16 2018126
17 2017249
18 2017103
19 20166
20 20061

About Zhikui Chen

Zhikui Chen is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Media Technology, having authored 199 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (29 papers), Face and Expression Recognition (20 papers), Video Surveillance and Tracking Methods (18 papers), Advanced Clustering Algorithms Research (17 papers), Image Retrieval and Classification Techniques (16 papers), Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (16 papers) and Complex Network Analysis Techniques (14 papers). The work is most often cited by research in Computational Mathematics (145 citations), Computer Networks and Communications (1.5k citations), Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (1.3k citations) and Information Systems (890 citations). Zhikui Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Laurence T. Yang, Qingchen Zhang, Peng Li, Peng Li, Qingchen Zhang, Jing Gao, Jianing Zhang, Liang Zhao, Mohammad S. Obaidat and Zhaolong Ning. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics, Expert Systems with Applications, IEEE Signal Processing Letters and IEEE Transactions on Big Data.

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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