Wei Wei

2.0k citations
155 papers · 1.3k · h-index 19

Impact in

Papers in

Wei Wei

141 papers receiving 1.3k citations

Peers

Wei Wei
Comparison fields: 5 of 147
  • Computer Vision and Pattern Recognition 314
  • Media Technology 92
  • Industrial and Manufacturing Engineering 101
  • Developmental Biology 20
  • Signal Processing 74
Replace Mehmet Bayğın with:
Mehmet Bayğın Türkiye
Andrey Somov Russia
Zhou Yu United States
Kwok Tai Chui Hong Kong
Zhe Sun China
Juha Röning Finland
Mohsin Raza United Kingdom
Giorgio Gnecco Italy
G. R. Sinha India
Juvenal Rodríguez‐Reséndiz Mexico
Wei Wei relative to Mehmet Bayğın Türkiye Mehmet Bayğın's profile →
Citations per field
00.5×6.7×
Mehmet Bayğın · 1×
Citations per year

Countries citing papers authored by Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Wei, 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 Wei Wei Line = papers co-authored together Wei Wei 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 2019190
2 201646
3 202042
4 202133
5 202131
6
Algorithm Research of Known-plaintext Attack on Double Random Phase Mask Based on WSNs
201930
7 202030
8 201928
9 202027
10 201525
11 202023
12 202022
13 201521
14 202120
15 202019
16 202119
17 201719
18 202218
19 202018
20 201217

About Wei Wei

Wei Wei is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Information Systems and Civil and Structural Engineering, having authored 155 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Industrial Vision Systems and Defect Detection (12 papers), Complex Network Analysis Techniques (11 papers), Image Retrieval and Classification Techniques (8 papers), Blockchain Technology Applications and Security (7 papers), Stability and Control of Uncertain Systems (6 papers), Advanced Neural Network Applications (6 papers) and Micro and Nano Robotics (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Media Technology (92 citations), Industrial and Manufacturing Engineering (101 citations), Developmental Biology (20 citations) and Signal Processing (74 citations). Wei Wei has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Robertas Damaševičius, Marcin Woźniak, Rytis Maskeliūnas, Pedro P. Rebouças Filho, Victor Hugo C. de Albuquerque, Tiago Carneiro, Jefferson S. Almeida, Kathleen M. Carley, Yun Hang Hu and Hao Qin. Their work appears in journals such as IEEE Access, Applied Sciences, Electronics, PLoS ONE and Journal of the Association for Information Systems.

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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