Chia-Po Wei

691 citations
22 papers · 521 · h-index 9

Impact in

    • Face and Expression Recognition
    • Face recognition and analysis
    • Advanced Image and Video Retrieval Techniques
    • Advanced Image Processing Techniques
    • Remote-Sensing Image Classification
    • Image Processing Techniques and Applications

Papers in

Chia-Po Wei

21 papers receiving 513 citations

Peers

Chia-Po Wei
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 417
  • Media Technology 107
  • Computational Mechanics 216
  • Signal Processing 83
  • Computational Mathematics 4
Replace Haoyuan Gao with:
Haoyuan Gao China
Zuofeng Zhong China
Xiaobao Guo Singapore
Yuanrong Xu China
Wangmeng Zuo China
Kailing Guo China
Yinfu Feng China
Pan Gao China
I‐Hong Jhuo Taiwan
Chia-Po Wei relative to Haoyuan Gao China Haoyuan Gao's profile →
Citations per field
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Haoyuan Gao · 1×
Citations per year

Countries citing papers authored by Chia-Po Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Po Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Chia-Po 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 Chia-Po Wei Line = papers co-authored together Chia-Po Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012168
2 201282
3 201469
4 201561
5 201731
6 201523
7 202019
8 201612
9 20149
10 20228
11 20138
12 20156
13 20136
14 20134
15 20133
16 20103
17 20143
18 20152
19 20172
20 20211

About Chia-Po Wei

Chia-Po Wei is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Control and Systems Engineering and Media Technology, having authored 22 papers that have together received 521 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Face and Expression Recognition (6 papers), Face recognition and analysis (5 papers), Stability and Control of Uncertain Systems (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers), AI in cancer detection (2 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (417 citations), Media Technology (107 citations), Computational Mechanics (216 citations), Signal Processing (83 citations) and Computational Mathematics (4 citations). Chia-Po Wei has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Yu-Chiang Frank Wang, Chih-Fan Chen, Yuting Wang, Yi-Ren Yeh, Yu-Wei Chao, Yuan Chen, Min-Chun Yang, Chih–Peng Li, Yen‐Ming Chen and Han Yang. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Visual Communication and Image Representation, IEEE Wireless Communications Letters, IEEE Transactions on Automatic Control and Pattern Recognition.

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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