Shaowen Yao

2.6k citations
151 papers · 1.8k indexed · h-index 19
Topics
Advanced Image Fusion Techniques (30 papers)Remote-Sensing Image Classification (18 papers)Image Enhancement Techniques (17 papers)
Partner nations
ChinaAustraliaTaiwan

In The Last Decade

Shaowen Yao

133 papers receiving 1.7k citations

Peers

Shaowen Yao
Comparison fields: 5 of 150
  • Computer Vision and Pattern Recognition 642
  • Media Technology 584
  • Artificial Intelligence 443
  • Computer Networks and Communications 222
  • Information Systems 205
Replace Zhengtao Yu with:
Zhengtao Yu China
Christopher Diehl United States
Minnan Luo China
Wenyu Chen China
Bing Liu China
Hai Liu China
Peng Zhou China
Yujiu Yang China
Caiming Xiong United States
Shaowen Yao relative to Zhengtao Yu China Zhengtao Yu's profile →
Citations per field
00.5×1.5×
Zhengtao Yu · 1×
Citations per year

Countries citing papers authored by Shaowen Yao

Since Specialization
Citations

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

Fields of papers citing papers by Shaowen Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowen Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Shaowen Yao. A scholar is included among the top collaborators of Shaowen Yao 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 Shaowen Yao. Shaowen Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 5
4 3
5 3
6 3
7 2
8 0
9 3
10 13
11 16
12 7
13 3
14 7
15 3
16
A Graph Based Technique of Process Partitioning.
5
17 14
18
Extended Workflow Patterns description in term of Pi-Calculus
1
19 18
20
The analysis, extension and application of JSON-RPC protocol
1

About Shaowen Yao

Shaowen Yao is a scholar working on Computational Mathematics, Media Technology and Computer Vision and Pattern Recognition, having authored 151 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (30 papers), Remote-Sensing Image Classification (18 papers) and Image Enhancement Techniques (17 papers). The work is most often cited by research in Media Technology (584 citations), Computer Vision and Pattern Recognition (642 citations) and General Social Sciences (51 citations). Shaowen Yao has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Xin Jin, Qian Jiang, Shin‐Jye Lee, Dongming Zhou, Rencan Nie, Wei Zhou, Lin Tang, Lin Liu, Kangjian He and Wei Zhou. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

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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