Pengwen Dai

457 total citations
15 papers, 262 citations indexed

About

Pengwen Dai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Pengwen Dai has authored 15 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Control and Systems Engineering. Recurrent topics in Pengwen Dai's work include Handwritten Text Recognition Techniques (4 papers), Vehicle License Plate Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Pengwen Dai is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Vehicle License Plate Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Pengwen Dai collaborates with scholars based in China, Hong Kong and Netherlands. Pengwen Dai's co-authors include Xiaochun Cao, Hua Zhang, Sanyi Zhang, Hua Zhang, Pengcheng Fang, Yuchen Jiang, Ray Y. Zhong, Jingzhi Li, Xiaoli Zhao and Yang Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Industrial Informatics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Pengwen Dai

12 papers receiving 258 citations

Peers

Pengwen Dai
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 169
  • Media Technology 73
  • Artificial Intelligence 53
  • Control and Systems Engineering 34
  • Safety, Risk, Reliability and Quality 22
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Citations per field, relative to Pengwen Dai
Pengwen Dai · 1×
Citations per year, relative to Pengwen Dai
Pengwen Dai · 1×

Countries citing papers authored by Pengwen Dai

Since Specialization
Citations

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

Fields of papers citing papers by Pengwen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengwen Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Pengwen Dai. A scholar is included among the top collaborators of Pengwen Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengwen Dai. Pengwen Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 14
3 3
4 0
5 0
6 15
7 3
8 6
9 3
10 35
11 35
12 30
13 91
14 16
15 11

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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